{ "schema_version": "1.0.0", "verification_stage_contract": "bounded-workflow-v2", "entity_id": "gh:justvugg/colibri", "points": [ { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": null, "momentum": 10.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": null, "last_release_at": null, "last_release_url": null, "maintenance_status": "source_activity_not_yet_measured", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": null, "observation_source_url": null, "observation_extractor_version": null, "observation_refs": {}, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "tier", "verdict", "verification_stage", "version" ], "date": "2026-08-30" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 26610, "momentum": 9.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v1.10.1", "last_release_at": "2026-08-31T13:18:32Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v1.10.1", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-09-01T19:29:45.039717Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_94811a6e706f89726d75fe40", "version": "obs_d227e2820d7c237b0a663c06", "last_release_at": "obs_3cde54661469d830eb95fa07", "last_release_url": "obs_d6b29c5007d3fda17438c08f", "pushed_at": "obs_c849dbbe5f6908c25448057f", "archived": "obs_3e86c4b5e2d1518d08ff0f03", "default_branch": "obs_532f62f5caf6444307bd1d46", "default_branch_updated_at": "obs_5852b54b8ba673b570e30f17", "maintenance_status": "obs_0cd75fb69b20ba407eb812c1", "momentum": "obs_0866cbbdcff6203e8c11eafb", "repository_topics": "obs_02b0c936556898d7d2c02486", "integrations": "obs_bfe7e60dfc3e61aff3a935bf", "integration_fingerprint": "obs_ae8981df4da3ba222c6d897d", "deployment_models": "obs_6dc3a0eb7987cf1c9a93439d", "extensibility": "obs_8518bb929c33e05f8f0ac73f" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-09-01" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 26610, "momentum": 9.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v1.10.1", "last_release_at": "2026-08-31T13:18:32Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v1.10.1", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-09-01T19:29:45.039717Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_94811a6e706f89726d75fe40", "version": "obs_d227e2820d7c237b0a663c06", "last_release_at": "obs_3cde54661469d830eb95fa07", "last_release_url": "obs_d6b29c5007d3fda17438c08f", "pushed_at": "obs_c849dbbe5f6908c25448057f", "archived": "obs_3e86c4b5e2d1518d08ff0f03", "default_branch": "obs_532f62f5caf6444307bd1d46", "default_branch_updated_at": "obs_5852b54b8ba673b570e30f17", "maintenance_status": "obs_0cd75fb69b20ba407eb812c1", "momentum": "obs_0866cbbdcff6203e8c11eafb", "repository_topics": "obs_02b0c936556898d7d2c02486", "integrations": "obs_bfe7e60dfc3e61aff3a935bf", "integration_fingerprint": "obs_ae8981df4da3ba222c6d897d", "deployment_models": "obs_6dc3a0eb7987cf1c9a93439d", "extensibility": "obs_8518bb929c33e05f8f0ac73f" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-09-02" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 26647, "momentum": 10.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": null, "last_release_at": null, "last_release_url": null, "maintenance_status": "not_recorded", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": null, "observation_source_url": null, "observation_extractor_version": null, "observation_refs": {}, "observed_fields": [ "momentum", "popularity", "risk", "score", "score_components", "stars", "tier", "verdict" ], "date": "2026-09-03" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 26809, "momentum": 9.6, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v1.10.1", "last_release_at": "2026-08-31T13:18:32Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v1.10.1", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-09-04T19:00:49.017076Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_84e9f6614e861bd905ec7ff4", "version": "obs_f1308cd79beca68f4d1af615", "last_release_at": "obs_3ece2b949f54c9e7a76d90c3", "last_release_url": "obs_b3a313d389354524dcf062df", "pushed_at": "obs_983e0a0f0e8a2f97cb33f8e5", "archived": "obs_ffc94398e3aed09cff60e303", "default_branch": "obs_1675a069136a61bb0fa29386", "default_branch_updated_at": "obs_48885b369d07f4bb2c87fb2d", "maintenance_status": "obs_2583db823532518728eb051b", "momentum": "obs_217ba9deba62303743ba3102", "repository_topics": "obs_9625ab0cde804287ba65a211", "integrations": "obs_cd727f161a639f811614086d", "integration_fingerprint": "obs_6c0afdf8834f98454ed938b6", "deployment_models": "obs_324f713ff5b23065f6218584", "extensibility": "obs_a0f89787a32548e100d93984" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-09-04" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 26809, "momentum": 9.6, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v1.10.1", "last_release_at": "2026-08-31T13:18:32Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v1.10.1", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-09-04T19:00:49.017076Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_84e9f6614e861bd905ec7ff4", "version": "obs_f1308cd79beca68f4d1af615", "last_release_at": "obs_3ece2b949f54c9e7a76d90c3", "last_release_url": "obs_b3a313d389354524dcf062df", "pushed_at": "obs_983e0a0f0e8a2f97cb33f8e5", "archived": "obs_ffc94398e3aed09cff60e303", "default_branch": "obs_1675a069136a61bb0fa29386", "default_branch_updated_at": "obs_48885b369d07f4bb2c87fb2d", "maintenance_status": "obs_2583db823532518728eb051b", "momentum": "obs_217ba9deba62303743ba3102", "repository_topics": "obs_9625ab0cde804287ba65a211", "integrations": "obs_cd727f161a639f811614086d", "integration_fingerprint": "obs_6c0afdf8834f98454ed938b6", "deployment_models": "obs_324f713ff5b23065f6218584", "extensibility": "obs_a0f89787a32548e100d93984" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-09-05" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 26828, "momentum": 10.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": null, "last_release_at": null, "last_release_url": null, "maintenance_status": "not_recorded", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": null, "observation_source_url": null, "observation_extractor_version": null, "observation_refs": {}, "observed_fields": [ "momentum", "popularity", "risk", "score", "score_components", "stars", "tier", "verdict" ], "date": "2026-09-07" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 27035, "momentum": 9.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v1.10.2", "last_release_at": "2026-09-06T20:47:32Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v1.10.2", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-09-08T05:09:03.158117Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_061834c23e46f307d7910981", "version": "obs_6709415045cb4eebf6678bff", "last_release_at": "obs_43ef6d4685eb12ff092c5356", "last_release_url": "obs_36475f1d2c63f27bc20c6d82", "pushed_at": "obs_30fa474de668f60e7051317c", "archived": "obs_0315898be7e49962d8fd6768", "default_branch": "obs_43f6859910fee0512184bd35", "default_branch_updated_at": "obs_ac4291694e7c5117da25de8e", "maintenance_status": "obs_87b9100ee78f1039edcdda45", "momentum": "obs_c33823dd6a20d7ac542b2b5b", "repository_topics": "obs_447a8432f19cf3a2af8e862b", "integrations": "obs_6cf31e41204107400c930881", "integration_fingerprint": "obs_f98e6257ca8399b3a3e63167", "deployment_models": "obs_073820648061090f7c680e84", "extensibility": "obs_2e130366d707263f1843fc2e" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-09-08" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 27624, "momentum": 10.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v1.10.2", "last_release_at": "2026-09-06T20:47:32Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v1.10.2", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-09-11T09:31:02.897429Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_6c6f0cc0b7e9b40ac4bcbd98", "version": "obs_cc2d0aec75b8dbeef08b9c7b", "last_release_at": "obs_f59ff8ea45f5ae551b246ceb", "last_release_url": "obs_31bb01ab28edf6a087214851", "pushed_at": "obs_af464ad38ca3d4d0be0bd321", "archived": "obs_6e8e576c4460bb66cf255873", "default_branch": "obs_fa1048aabc4c9da4b49bf796", "default_branch_updated_at": "obs_eb60f14a3e2431fdd75031db", "maintenance_status": "obs_fd08a84f41f131b75ba5a55f", "momentum": "obs_0f58863da512b85cdd89409c", "repository_topics": "obs_0732c71ecb180ffa99635e62", "integrations": "obs_fb23b679355cfa22bb5d9ee5", "integration_fingerprint": "obs_d9f74a6e08d62424dbfc92e0", "deployment_models": "obs_ec8fd5232eaedc85cf0dbbc9", "extensibility": "obs_5e908fb6ceed3686c8d7cdc4" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-09-11" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 28344, "momentum": 9.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v1.10.2", "last_release_at": "2026-09-06T20:47:32Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v1.10.2", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-09-12T17:04:32.267494Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_bccf752f3867109e38bcecb8", "version": "obs_248e81d3676d2221dc84844f", "last_release_at": "obs_8ab63257775054536b509139", "last_release_url": "obs_0e8d0cc69ba81e93a07e16aa", "pushed_at": "obs_9dfa4f5b18eae6dc495fd91d", "archived": "obs_555eb03ecc1fcff001c97082", "default_branch": "obs_0977e5d06c3ca548833edede", "default_branch_updated_at": "obs_66796d9095ed2e6542bfe768", "maintenance_status": "obs_78ad9e572cea33b905dcae73", "momentum": "obs_b6929badfcf81754288ebed5", "repository_topics": "obs_e9ad5cdbca82a3b847954bec", "integrations": "obs_085e89718cf187304b47f9e5", "integration_fingerprint": "obs_0bcfca29ce4e4fe4fa481125", "deployment_models": "obs_89160021f812ace0af89df40", "extensibility": "obs_83c40be37f9e8a94fe44b6b1" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-09-12" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 28691, "momentum": 9.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v1.10.2", "last_release_at": "2026-09-06T20:47:32Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v1.10.2", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-09-13T05:04:21.529456Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_51936760e144901d0f802e6c", "version": "obs_52e77df27f326aea47c611af", "last_release_at": "obs_926a6344caa60dd4fcffbcaa", "last_release_url": "obs_00c845217033b9792b62baae", "pushed_at": "obs_c06416f657ff4ee1b0ca7dbd", "archived": "obs_854e80ec2e1e947d6ff272d6", "default_branch": "obs_c00dd596f97ec558ec69b2e8", "default_branch_updated_at": "obs_0fc8fbe8da44844e4c617eb0", "maintenance_status": "obs_c1905dc962aa76024cb78bf2", "momentum": "obs_a72583cbf5a37fb3887ecd41", "repository_topics": "obs_94c41120dd1947e3656e3cde", "integrations": "obs_bbbf1848f5d8c82678598dee", "integration_fingerprint": "obs_9c44d0cd13fada1c3df2d9bf", "deployment_models": "obs_abae9fe75c3912f57dbf0573", "extensibility": "obs_ebb744240b6ce1abaa508611" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-09-13" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 33022, "momentum": 10.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v1.11.0", "last_release_at": "2026-09-13T13:44:10Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v1.11.0", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-09-15T11:46:09.382347Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_5d5cdacf600b8de32643dc6e", "version": "obs_82045cf2bf8643f2b53c501a", "last_release_at": "obs_def1898c88a84977b99720ee", "last_release_url": "obs_98d074fffae4a458be549a59", "pushed_at": "obs_1b8314b4175589f15abd8aef", "archived": "obs_41bcc326c34d61f44cc3b886", "default_branch": "obs_7b162da3783b16dea4c4cf2e", "default_branch_updated_at": "obs_419c590de88b3301c23451e0", "maintenance_status": "obs_97c3b6b1e25d84e273bdb332", "momentum": "obs_869d645f7742e44990c52be0", "repository_topics": "obs_1d5f3b6bee78e518ff42d49c", "integrations": "obs_870ab1c44d644352f952f36a", "integration_fingerprint": "obs_ee05985ba794b11de0aa0f0e", "deployment_models": "obs_0709751c176fdbeca326c775", "extensibility": "obs_f3ca581598f2b63235aecf81" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-09-15" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 35704, "momentum": 9.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v1.11.0", "last_release_at": "2026-09-13T13:44:10Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v1.11.0", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-09-17T21:45:13.795340Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_f4ea7d1ad019ebe0eadcdc8b", "version": "obs_32699113b29068f42d92f156", "last_release_at": "obs_ffb46c83a2251573cd1c10ca", "last_release_url": "obs_aa06f2e638f744b0ba6e929f", "pushed_at": "obs_435a23ffe6e7b4e8db3bd923", "archived": "obs_8c7efcd866c5cd4d28ff8ad5", "default_branch": "obs_812a14e37a602367bf2fa19b", "default_branch_updated_at": "obs_c6802a12ba24fdbc740fa8b4", "maintenance_status": "obs_81f5eb092de274efde5bdb3a", "momentum": "obs_ae28af7c2cb8f916b1004043", "repository_topics": "obs_121c53c5c3ffcddd8485b8fc", "integrations": "obs_985cb1ecf757abf039026ea9", "integration_fingerprint": "obs_47ae784256e4b840223559b5", "deployment_models": "obs_4444507aa87c9d24216a6d99", "extensibility": "obs_797755cede2b79b9b79090e1" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-09-17" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 36341, "momentum": 9.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v1.11.0", "last_release_at": "2026-09-13T13:44:10Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v1.11.0", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-09-19T17:06:40.081307Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_1b3604bdb00e9b92080f394c", "version": "obs_7ef86ac8b43a3a6b873c5bc5", "last_release_at": "obs_62ae78271cc2cc7c3f627114", "last_release_url": "obs_a89282487bc7ca802f9d70ba", "pushed_at": "obs_1eec4bf2b7db0a17705ce73c", "archived": "obs_587b4bda02fd433696261a93", "default_branch": "obs_0497e2627f08a506895a3917", "default_branch_updated_at": "obs_7d0ae147142bd7d2a309a900", "maintenance_status": "obs_d066048d83af3000625c7365", "momentum": "obs_dd774cf0f7e8fd3cbd94e452", "repository_topics": "obs_fc5030436052dfcfd65b9641", "integrations": "obs_f2aea94c128cf0a5dad949a4", "integration_fingerprint": "obs_3a0143862e3baace6fc7fecd", "deployment_models": "obs_af99989ab4810713e1f08605", "extensibility": "obs_6a654346ecc267b80fdb35ff" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-09-19" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 36552, "momentum": 10.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v1.11.0", "last_release_at": "2026-09-13T13:44:10Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v1.11.0", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-09-20T17:06:32.868873Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_1359bb380b6eab12e1c7f7e8", "version": "obs_66d7363cca1d41c1429cafd9", "last_release_at": "obs_9ee10ed263e56e679a3bc0e4", "last_release_url": "obs_019984760a3112a539aeee1b", "pushed_at": "obs_3cc4750e6460ad16c6ecba3a", "archived": "obs_c0910798aa7082c114b89e80", "default_branch": "obs_c574a824642dfe59b9a0bd4c", "default_branch_updated_at": "obs_d2ee5118c2718753bdc56e22", "maintenance_status": "obs_b47523072ed2ada26859e3cf", "momentum": "obs_99852ab1731015b349c558d0", "repository_topics": "obs_b807cfa2206381e6a5682bfa", "integrations": "obs_17dae29de2ade56a87546f57", "integration_fingerprint": "obs_042659b71659ee5a3da4bc32", "deployment_models": "obs_1f6217f6d36f0274354c570a", "extensibility": "obs_0ea1a2b8554a0b4c77ed68dc" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-09-20" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 36859, "momentum": 9.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v1.12.0", "last_release_at": "2026-09-20T22:13:26Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v1.12.0", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-09-21T23:47:16.337043Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_10144f9a9674d4051cd59fb2", "version": "obs_a782a67b19a5b5c7147f7d7e", "last_release_at": "obs_a398124fcb35be72282d518e", "last_release_url": "obs_b8f1527013cceabf1415acd5", "pushed_at": "obs_8bf5170c4b90e41e0b628c9b", "archived": "obs_d36e70c33dbc399784312489", "default_branch": "obs_56c1543656378bdaf9a308c3", "default_branch_updated_at": "obs_6931b04f949a03bea7fb6264", "maintenance_status": "obs_c3c0f8c96718f328dae9daf7", "momentum": "obs_0ab0765f76cfd40f16ec41cd", "repository_topics": "obs_80a9ceb79231da47de94c9f1", "integrations": "obs_2cf3f2ac7c3bda8154b59c6c", "integration_fingerprint": "obs_facbc68263848ea4f514a67f", "deployment_models": "obs_70c9c11ab72d72d5ccad42cd", "extensibility": "obs_8b485a70ae8dc7b1ade95d8d" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-09-21" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 37088, "momentum": 9.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v1.12.0", "last_release_at": "2026-09-20T22:13:26Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v1.12.0", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-09-22T17:06:39.688103Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_4dd21238a1766e8208a0e875", "version": "obs_9a75a935b5cde3e14879970f", "last_release_at": "obs_f6faf81fb023140fc06536ce", "last_release_url": "obs_3441666546ae3d5a9ae0d565", "pushed_at": "obs_bc50c8b2e7aa3f8d94ea61a8", "archived": "obs_5c0563978eb31bf8c15b0c80", "default_branch": "obs_c59d66ce04fcebbf9b07ed25", "default_branch_updated_at": "obs_223a60f89e5c45c8b8c677af", "maintenance_status": "obs_effba4e7e0c506d2646f0525", "momentum": "obs_db07e2a7913ee98b447558ab", "repository_topics": "obs_d4a6f600092a82b9c3b92e2f", "integrations": "obs_dd17255f5deaf1ddfb8892a2", "integration_fingerprint": "obs_05f6025eca7057578c2f6eb4", "deployment_models": "obs_c58a32e6dade7f46a784418f", "extensibility": "obs_f8282779105eba36a0abfa56" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-09-22" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 37324, "momentum": 10.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v1.12.0", "last_release_at": "2026-09-20T22:13:26Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v1.12.0", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-09-23T19:48:29.703424Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_1ea3b8713aeeee1d95c6fccf", "version": "obs_88ca7aa9b71cf17ee92873e0", "last_release_at": "obs_b3d4830db421442a7a8f09dd", "last_release_url": "obs_c8b42d470b452efafe64c704", "pushed_at": "obs_cc6bb4ea00c1c49c9b8ecbc5", "archived": "obs_51830ed61d0544b211d23f5d", "default_branch": "obs_b5954553c17246c35335a1e2", "default_branch_updated_at": "obs_a54887b3932314473a228532", "maintenance_status": "obs_f45cfcd4e32cfa2564e52c12", "momentum": "obs_361ba7aecd2920e2086edf48", "repository_topics": "obs_d68c969d435f2eccc40af0d7", "integrations": "obs_1095e220ee54e0af8624b5bb", "integration_fingerprint": "obs_42aaaa9beacd08f289311022", "deployment_models": "obs_35181a75d8443a0e83d2311d", "extensibility": "obs_8259a60b201f847764c38ef9" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-09-23" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 37529, "momentum": 10.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v1.12.0", "last_release_at": "2026-09-20T22:13:26Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v1.12.0", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-09-24T21:49:16.463298Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_fd051b3d86deb07cb0656f3e", "version": "obs_c2707d69ec3d9ef7d7831a15", "last_release_at": "obs_16a6f4308235e4c43170f651", "last_release_url": "obs_08d4a97ca0262cf44f2873d3", "pushed_at": "obs_fac5b771eed92670d7cc1952", "archived": "obs_47a1107e9bc0700f2439ac3d", "default_branch": "obs_32faa088eee18d3fbca709e8", "default_branch_updated_at": "obs_20d0c93692d8c3e2bd435424", "maintenance_status": "obs_64868f32147b091b15a57692", "momentum": "obs_8ccb55e763b30e24dca4a39e", "repository_topics": "obs_0de2abdfd97e228f2f7fdcb3", "integrations": "obs_fd30899fed2f129baebb500b", "integration_fingerprint": "obs_c5e89514f13f41b002f1d438", "deployment_models": "obs_15d2c0902c6720fdbda926a1", "extensibility": "obs_75491c110ed66229360fdee7" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-09-24" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 37617, "momentum": 10.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v1.12.1", "last_release_at": "2026-09-24T22:10:40Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v1.12.1", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-09-25T13:50:57.994663Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_4359bdd9944e42aa996790ab", "version": "obs_7998c2a4c8ce56698f7fdcb5", "last_release_at": "obs_28a4a95ff70b5734f00ea697", "last_release_url": "obs_2e097385e42a2110f8905a63", "pushed_at": "obs_8fcd2c5c6e8dd5e0acbe31b0", "archived": "obs_3a01cf042ef141a224c8d8b4", "default_branch": "obs_fbc0edca7ca37e1e76fa00de", "default_branch_updated_at": "obs_f6978612aa165f764d1b9213", "maintenance_status": "obs_09c9191d83db32177a3d03b1", "momentum": "obs_c0719396e2fd2c99df366d97", "repository_topics": "obs_4b1d9447a0df2c91283b2893", "integrations": "obs_aaf7e4baea7ed17696e4fb9c", "integration_fingerprint": "obs_781774a4a92f47512ef273d1", "deployment_models": "obs_a9fc00351ff78573fa62911d", "extensibility": "obs_6b9f41bf7b1b2bf9389879d3" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-09-25" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 37691, "momentum": 9.6, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v1.12.1", "last_release_at": "2026-09-24T22:10:40Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v1.12.1", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-09-26T09:47:30.421436Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_58a6ba72e0201e1e7b0b9861", "version": "obs_aefbf141b66dfb762d16986c", "last_release_at": "obs_32cb6c184dd61dd5521bc036", "last_release_url": "obs_e36027c88fd8770087441e3a", "pushed_at": "obs_faefe731e909173fb5adfff3", "archived": "obs_1a46e5efb708c4757b7b7231", "default_branch": "obs_36211c67575efde7f6df3a63", "default_branch_updated_at": "obs_6b8b0569045aa353f69433f3", "maintenance_status": "obs_333c547bf4ee4fd08395f16f", "momentum": "obs_d59e6fe644833a2888cc141a", "repository_topics": "obs_c81b67203063537b87f08ae8", "integrations": "obs_75613b1dc51b0b57500c6b99", "integration_fingerprint": "obs_ddb14093603b1a3457905a54", "deployment_models": "obs_14886045e17e59cdaf9f4b0b", "extensibility": "obs_6869d238ec2505445d9d0495" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-09-26" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 37793, "momentum": 10.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v1.12.1", "last_release_at": "2026-09-24T22:10:40Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v1.12.1", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-09-27T01:47:58.533096Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_8433cdb8a23734a6095989a5", "version": "obs_efa4996db29f04d3df035604", "last_release_at": "obs_75deedf5daa1ffd7c6208e75", "last_release_url": "obs_27171c2f9679db0a380100bb", "pushed_at": "obs_aa55530b9e02295a612ff6c3", "archived": "obs_09ac73b1e20af08264504023", "default_branch": "obs_5765abb6cfb43fbdf0fbf2db", "default_branch_updated_at": "obs_b893a814adfd1760e3f9ab16", "maintenance_status": "obs_d50429a4549d59dca0f478e5", "momentum": "obs_649b0a8a81533b95d1f0886c", "repository_topics": "obs_82235be379ea27550c25fb07", "integrations": "obs_10a3f938009e0d5ef655956b", "integration_fingerprint": "obs_323f34229cb1615a52c0d29c", "deployment_models": "obs_5c664d64a16aff5c8d9c878f", "extensibility": "obs_afe74a3b620ab45d576245a9" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-09-27" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 38080, "momentum": 10.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v1.12.1", "last_release_at": "2026-09-24T22:10:40Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v1.12.1", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-09-28T13:47:34.707135Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_13a3523921b4fd7d3936e424", "version": "obs_1d5962b1c6b34e994674f00b", "last_release_at": "obs_6174a91bb1469060dc4d471c", "last_release_url": "obs_ec8735eaf7fc3eaf137d5dcf", "pushed_at": "obs_ba052c4b83b5619b10382594", "archived": "obs_26637d53e6ff800b754c0403", "default_branch": "obs_8b99233f5173736edca73d7b", "default_branch_updated_at": "obs_1d0673616a440c23641f103e", "maintenance_status": "obs_3cac7a6fa365f26afb2d63e1", "momentum": "obs_b1d8aec09fc565e61a8b7214", "repository_topics": "obs_31840e70dc95a88fcaebb283", "integrations": "obs_b3e9da4c4cb900b906d09e84", "integration_fingerprint": "obs_03b3647e913369d69f16314c", "deployment_models": "obs_3ca8ca1f58100c1b67f0d745", "extensibility": "obs_ced842a756f9b91fc001f23b" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-09-28" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 38354, "momentum": 9.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v1.12.1", "last_release_at": "2026-09-24T22:10:40Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v1.12.1", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-09-29T17:08:16.498456Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_b6a04bf945c0a0c1602a3228", "version": "obs_d2178648703ddbac98f81053", "last_release_at": "obs_5217cf003fc8c1966bdb16b2", "last_release_url": "obs_3da0c4904c17c7b2c9200196", "pushed_at": "obs_5bdd226c19e96f333ae1806f", "archived": "obs_6d56cbffe25e443e015920e5", "default_branch": "obs_0803618820234e18f43120cb", "default_branch_updated_at": "obs_29428bfd40af0c7df8bfabd5", "maintenance_status": "obs_19554b01114f18c7bb840ecd", "momentum": "obs_ad293d6e7d9176afbc5a49b6", "repository_topics": "obs_2a8a0fb251cfb6c0a990f8bd", "integrations": "obs_349cb67ec27c370df3b1c121", "integration_fingerprint": "obs_a4f33ed01961f88d51270c26", "deployment_models": "obs_8b9203fa10f642a6b3147d3f", "extensibility": "obs_6987d5a72afcffccae8eb177" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-09-29" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 38516, "momentum": 9.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v1.12.1", "last_release_at": "2026-09-24T22:10:40Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v1.12.1", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-09-30T05:08:12.323055Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_f2b7808174616974cd241d6f", "version": "obs_b9f66e8dc0933a6b59fb38cc", "last_release_at": "obs_17d981d387ee63c6ed0a3049", "last_release_url": "obs_6b273cb1e4fc5f0a0942f3d0", "pushed_at": "obs_1b35e7b7b9535cab77e30a0a", "archived": "obs_cd89609459a9f877b16404ba", "default_branch": "obs_0cfdf2f7b20418189b022f9b", "default_branch_updated_at": "obs_76ef13e46d0d12a3cad951e7", "maintenance_status": "obs_46efce291cf710a97abd48c7", "momentum": "obs_1bf74f40e6720df8895b7596", "repository_topics": "obs_02a5682a14469fd1384bdef3", "integrations": "obs_f757e80eed44f79a0c9c340a", "integration_fingerprint": "obs_88b231878a9bc46285aba0b9", "deployment_models": "obs_dd84865b49a393f8fbcb64c5", "extensibility": "obs_c05144e2854aa766535da56d" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-09-30" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 38854, "momentum": 9.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v1.12.1", "last_release_at": "2026-09-24T22:10:40Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v1.12.1", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-10-01T21:24:16.558226Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_0198e50c0affd797e6348833", "version": "obs_e9f97180926c6403683aa69e", "last_release_at": "obs_bd0349447ecc1ff2ab76ef17", "last_release_url": "obs_3de61de9bdf3db88a457df93", "pushed_at": "obs_689e0e01cd2eb44a9bd78531", "archived": "obs_afdece2b979e8f9a05d425c9", "default_branch": "obs_eb26c9b97ecc7c8fba19dcf4", "default_branch_updated_at": "obs_c92ef09c3fbf44e02dc63aa0", "maintenance_status": "obs_163e1e7a5107649ff987093c", "momentum": "obs_ee9d135d52cf0a1988f06014", "repository_topics": "obs_dac8a7ba888b508dda75ff5f", "integrations": "obs_d18244c1eb320bb0f54eafde", "integration_fingerprint": "obs_75325e6b416f9966ed27325e", "deployment_models": "obs_ccc7f1a38adb96d55f412659", "extensibility": "obs_4d0b7c7cf97f97b26953bab0" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-10-01" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 39007, "momentum": 9.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v1.12.1", "last_release_at": "2026-09-24T22:10:40Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v1.12.1", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-10-02T17:11:36.588066Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_e391c43b6405500bc6e833bc", "version": "obs_162adb218c40413a22d3ad87", "last_release_at": "obs_822c7168a45ff8a6f5ddf078", "last_release_url": "obs_68a0da844b2289771e644d13", "pushed_at": "obs_4bd23c302d384ac8339efd28", "archived": "obs_42a368a9945f916236aae810", "default_branch": "obs_1551dd66ad44acc440f10034", "default_branch_updated_at": "obs_372e557c16b9c75bbf761d14", "maintenance_status": "obs_d1828ef9568c761b615e9c33", "momentum": "obs_faaf85a53e61891fe258922f", "repository_topics": "obs_811b86fac6ae0f635d440328", "integrations": "obs_11e2c53358e4f98ea2894c8b", "integration_fingerprint": "obs_baede36df98ffcb7620968a9", "deployment_models": "obs_c442c11183669c3c2e7fc0f3", "extensibility": "obs_ffa1b8e427893fcc372fbcb0" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-10-02" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 39255, "momentum": 9.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v1.12.1", "last_release_at": "2026-09-24T22:10:40Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v1.12.1", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-10-03T17:13:14.190776Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_dcc40e6d791f1b0a124a4820", "version": "obs_6033f9389200656113c717fa", "last_release_at": "obs_d29e894ebe8e52521aac7ee9", "last_release_url": "obs_b9bdb5ecba6e1af267dde294", "pushed_at": "obs_0e2540eba129adba617ce63e", "archived": "obs_5296891e3e7951f1f86b5f98", "default_branch": "obs_c31441ef4dac9854a587a5b4", "default_branch_updated_at": "obs_578b21c555d437d5eb58c13b", "maintenance_status": "obs_f9970394868ab0d03cd556f2", "momentum": "obs_efa7a18fd9832a3d9de8d931", "repository_topics": "obs_031083e1ec4c4aa77198bd6e", "integrations": "obs_e220bfec04d60d0775bccea2", "integration_fingerprint": "obs_dcade835f81e184b946750db", "deployment_models": "obs_7860573cc2829c1c0da2c7df", "extensibility": "obs_5c85418f9ffe96548001dbb1" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-10-03" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 39713, "momentum": 10.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v1.12.1", "last_release_at": "2026-09-24T22:10:40Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v1.12.1", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-10-05T17:12:19.837870Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_45f2f717a8cd164d512e350c", "version": "obs_3f7dbad4cc347a0e5c854590", "last_release_at": "obs_03f82fee3205896d00d742c2", "last_release_url": "obs_8b8c0f3f70ad50c6165f929d", "pushed_at": "obs_26f75c0ee33cc1fb3c1a4945", "archived": "obs_0c4ec244aa0df7d105010f50", "default_branch": "obs_aacd7e08062c0cf98c5a5353", "default_branch_updated_at": "obs_1218ef0777ee81bd0a858a46", "maintenance_status": "obs_df67cac8c6c837bc39b01783", "momentum": "obs_873be47ae9b8357d638198da", "repository_topics": "obs_2db8ec8eb64fd8fd8b82095a", "integrations": "obs_361d7c3afc5fbf3945f8986b", "integration_fingerprint": "obs_b3ebad9c1df04a50e9d74e90", "deployment_models": "obs_6355da817034556f7b8dd41e", "extensibility": "obs_edc5449b3252023a1fb1babe" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-10-05" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 39949, "momentum": 9.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v1.12.1", "last_release_at": "2026-09-24T22:10:40Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v1.12.1", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-10-06T17:10:49.497470Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_46ec5a667f65b5b38eefb63b", "version": "obs_3f47cf548aa4b369be828055", "last_release_at": "obs_c11f91954f4100861a3b8845", "last_release_url": "obs_cecb2f8cd4cb36e685fabd26", "pushed_at": "obs_d804ddf13fc815e5c11dd806", "archived": "obs_51ba78e856c83b64bc7e5bce", "default_branch": "obs_9b48c030e874ace423a1f0fa", "default_branch_updated_at": "obs_5087c543c3ecfba5e08d98ea", "maintenance_status": "obs_8536ca18e932079633a68346", "momentum": "obs_7926b3dd039e05c41aba106d", "repository_topics": "obs_26e99aae50526e817a560009", "integrations": "obs_71dac8e1d5921ab48e01c191", "integration_fingerprint": "obs_d8c5f9cb3ded0e50b370d021", "deployment_models": "obs_b23e8d5107512104828e33b3", "extensibility": "obs_d7ecc9bdf9aff3f3ef8c9eb6" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-10-06" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 40251, "momentum": 9.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v2.0.0", "last_release_at": "2026-10-06T20:24:40Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v2.0.0", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-10-07T17:10:55.089768Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_a7a4627506ab652113100cc4", "version": "obs_5e5e50732e121af99e3b5f20", "last_release_at": "obs_a0c9192a6a36d7b9b64460f0", "last_release_url": "obs_1a82badbf09dbf9da41369ac", "pushed_at": "obs_a94c96ca92a9d6b7b1232e9a", "archived": "obs_221ce3e0ddda349774089e19", "default_branch": "obs_28ae1aa5397be27685700ef1", "default_branch_updated_at": "obs_a15aa244bd38c7c2bfec2dbe", "maintenance_status": "obs_9b4c76d6d00b1d0383ab4254", "momentum": "obs_cf13b0936f50753d43418333", "repository_topics": "obs_033a8cda9edf3820f69deb89", "integrations": "obs_7b40d216e93da6e8a590bf17", "integration_fingerprint": "obs_1cfe05d717a0c3e3630da1b1", "deployment_models": "obs_919f767e0e5bf21e9bc0d527", "extensibility": "obs_a8e15c2e92849b656da4ba37" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-10-07" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 40374, "momentum": 10.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v2.0.0", "last_release_at": "2026-10-06T20:24:40Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v2.0.0", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-10-08T05:15:53.503430Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_8cc2f9ba4a05404bdcb95b96", "version": "obs_aee43fb9a3faa4cc73489efe", "last_release_at": "obs_bc418f5e9df0bb0bbc18b5f7", "last_release_url": "obs_e59b84acaa4e275075bf99fb", "pushed_at": "obs_987ab0e063d956947c37e2a1", "archived": "obs_6dd462f40e23a8e9ec7cac3f", "default_branch": "obs_59753a30106f995516d3fa33", "default_branch_updated_at": "obs_bc172be2c6a18a84f54bde13", "maintenance_status": "obs_3eca7561851ec5833f18aa4a", "momentum": "obs_b69653dc276fe15d4d1108b0", "repository_topics": "obs_ce85df21ed8b70187700ee4a", "integrations": "obs_52f13372a3b68f8bdcd67ce3", "integration_fingerprint": "obs_83f7575ddee961c8130732cb", "deployment_models": "obs_0e4e13bfa73f33cb380d94f8", "extensibility": "obs_327b5a9ae206dcd0c6316bb8" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-10-08" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 40747, "momentum": 9.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v2.0.0", "last_release_at": "2026-10-06T20:24:40Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v2.0.0", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-10-09T17:10:43.538271Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_28668eca1cd87abe3222b9ad", "version": "obs_d262bc94e8dd9c0674353111", "last_release_at": "obs_6ce097df90757b9dd49b2dec", "last_release_url": "obs_e7ee847b3ef4063ca28ce3e1", "pushed_at": "obs_ba3c5d9966b9d79ae2e52098", "archived": "obs_2bc3cac9e7807f752c83daf2", "default_branch": "obs_8a64447f44c69e13bea64b1b", "default_branch_updated_at": "obs_c8ba25c2531f8a9fd5c55590", "maintenance_status": "obs_ed90d5e92c09b27c39c7f330", "momentum": "obs_2ebfb811bb88c10d633c8a65", "repository_topics": "obs_edc3f687ff1e752e5868a197", "integrations": "obs_13cc5dbfd89c95e657352512", "integration_fingerprint": "obs_f24ffccf85e46106e978588e", "deployment_models": "obs_d9203ac3aec789036e45e3c9", "extensibility": "obs_c1c59168c244bb6ee2a617bc" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-10-09" }, { "id": "gh:justvugg/colibri", "score": 8.9, "popularity": 26472.0, "stars": 40955, "momentum": 9.0, "score_components": { "usefulness": 9.0, "novelty": 8.0, "momentum": 10.0, "maturity": 9.4, "open_source_build_quality": 8.4, "evidence": 7.2, "commercial_workflow_potential": 10.0, "setup_ease": 6.4 }, "tier": "Gold", "verdict": "try_now", "risk": "none", "verification_stage": "discovered", "pricing_fingerprint": null, "pricing_summary": null, "pricing_facts": [], "pricing_checked_at": null, "pricing_stale": null, "version": "v2.0.0", "last_release_at": "2026-10-06T20:24:40Z", "last_release_url": "https://github.com/JustVugg/colibri/releases/tag/v2.0.0", "maintenance_status": "active", "integration_fingerprint": null, "integration_count": 0, "integrations": [], "source_observed_at": "2026-10-10T17:09:29.745535Z", "observation_source_url": "https://api.github.com/graphql", "observation_extractor_version": "github-observer-v2", "observation_refs": { "stars": "obs_e7a66f6e2aedbe405deaccbf", "version": "obs_1236e725ad7863311cffde83", "last_release_at": "obs_38527f021fab5dfb2de6fb82", "last_release_url": "obs_3ddbaaa1932752a02b40b82b", "pushed_at": "obs_3f662af43ef9e8ad1742f385", "archived": "obs_4461d4fa2c51786d9bb62fd2", "default_branch": "obs_ea45c673329ba0f7041c8807", "default_branch_updated_at": "obs_1c333509a1da4be9cff386ed", "maintenance_status": "obs_99e7243a97801384bc4cca20", "momentum": "obs_908fa928ddd8fc772da1e7bc", "repository_topics": "obs_d080afd87c655320aa767acc", "integrations": "obs_734143514ef04b6569249db8", "integration_fingerprint": "obs_2cfee25f9c8d9e70da77d117", "deployment_models": "obs_5d79469dcc9fb23ab6c139a5", "extensibility": "obs_0f79ed04cadf75848e74b32e" }, "observed_fields": [ "integration_count", "integration_fingerprint", "integrations", "last_release_at", "maintenance_status", "momentum", "popularity", "pricing_checked_at", "pricing_facts", "pricing_fingerprint", "pricing_stale", "pricing_summary", "risk", "score", "score_components", "stars", "tier", "verdict", "verification_stage", "version" ], "date": "2026-10-10" } ], "changes": [ { "id": "evt_26db603cf1920f29cd9b", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-10-10T17:09:29.745535Z", "before": 40848, "after": 40955, "explanation": "Stars changed: 40848 → 40955.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_50a6fdd6bd386fa8f437", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-10-10T05:15:01.956756Z", "before": 40747, "after": 40848, "explanation": "Stars changed: 40747 → 40848.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_b020745930ef5465ab5a", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-10-09T17:10:43.538271Z", "before": 40612, "after": 40747, "explanation": "Stars changed: 40612 → 40747.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_3782a14d9e66557c3a2a", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-10-09T05:11:59.425720Z", "before": 40374, "after": 40612, "explanation": "Stars changed: 40374 → 40612.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_7add40c5ba4f6d17a4ca", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-10-08T05:15:53.503430Z", "before": 40251, "after": 40374, "explanation": "Stars changed: 40251 → 40374.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_f27a066752ddc24a1c4b", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-10-07T17:10:55.089768Z", "before": 40096, "after": 40251, "explanation": "Stars changed: 40096 → 40251.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_d7ff7349e96190012041", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "version_changed", "occurred_at": "2026-10-07T05:14:31.025401Z", "before": "v1.12.1", "after": "v2.0.0", "explanation": "Version changed: v1.12.1 → v2.0.0.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_c105df95daff76ce4481", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-10-07T05:14:31.025401Z", "before": 39949, "after": 40096, "explanation": "Stars changed: 39949 → 40096.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_e5ae2d138805d5bf65b9", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-10-06T17:10:49.497470Z", "before": 39892, "after": 39949, "explanation": "Stars changed: 39892 → 39949.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_91b2a7559d4e0d1666ad", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-10-06T11:51:05.323120Z", "before": 39713, "after": 39892, "explanation": "Stars changed: 39713 → 39892.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_3211aaa4bf0486d9154f", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-10-05T17:12:19.837870Z", "before": 39255, "after": 39713, "explanation": "Stars changed: 39255 → 39713.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_285005b030e0274ee8ee", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-10-03T17:13:14.190776Z", "before": 39202, "after": 39255, "explanation": "Stars changed: 39202 → 39255.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_278ac66ae0a9c86de6f8", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-10-03T11:14:47.510417Z", "before": 39007, "after": 39202, "explanation": "Stars changed: 39007 → 39202.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_e73f05940c0e4322b1c3", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-10-02T17:11:36.588066Z", "before": 38985, "after": 39007, "explanation": "Stars changed: 38985 → 39007.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_bc79b60b9b10c6940012", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-10-02T13:49:49.476083Z", "before": 38854, "after": 38985, "explanation": "Stars changed: 38854 → 38985.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_aabdac9f7d4bc964ca93", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-10-01T21:24:16.558226Z", "before": 38839, "after": 38854, "explanation": "Stars changed: 38839 → 38854.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_f67520f09888a9ade4e5", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-10-01T20:04:09.626108Z", "before": 38813, "after": 38839, "explanation": "Stars changed: 38813 → 38839.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_7e51d6cbf283d2dc97fd", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-10-01T17:20:20.713752Z", "before": 38516, "after": 38813, "explanation": "Stars changed: 38516 → 38813.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_6aaee864d3ed866c98d5", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-30T05:08:12.323055Z", "before": 38354, "after": 38516, "explanation": "Stars changed: 38354 → 38516.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_50b4d09f0518f379779e", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-29T17:08:16.498456Z", "before": 38181, "after": 38354, "explanation": "Stars changed: 38181 → 38354.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_17685f3cb7d39e8054b7", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-29T05:09:59.243338Z", "before": 38080, "after": 38181, "explanation": "Stars changed: 38080 → 38181.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_c658e1db547798e1f5ee", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-28T13:47:34.707135Z", "before": 37793, "after": 38080, "explanation": "Stars changed: 37793 → 38080.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_92080963c8c27d498865", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-27T01:47:58.533096Z", "before": 37691, "after": 37793, "explanation": "Stars changed: 37691 → 37793.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_f76236af38a4cdf7b6f4", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-26T09:47:30.421436Z", "before": 37617, "after": 37691, "explanation": "Stars changed: 37617 → 37691.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_8583455805f5fde6687f", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "version_changed", "occurred_at": "2026-09-25T13:50:57.994663Z", "before": "v1.12.0", "after": "v1.12.1", "explanation": "Version changed: v1.12.0 → v1.12.1.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_1506f140bb2f9f8e76cd", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-25T13:50:57.994663Z", "before": 37529, "after": 37617, "explanation": "Stars changed: 37529 → 37617.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_4943da7966348a51927d", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-24T21:49:16.463298Z", "before": 37381, "after": 37529, "explanation": "Stars changed: 37381 → 37529.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_441f0afba17146e540fe", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-24T05:09:18.096595Z", "before": 37324, "after": 37381, "explanation": "Stars changed: 37324 → 37381.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_94a8fdbb352297ba190a", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-23T19:48:29.703424Z", "before": 37088, "after": 37324, "explanation": "Stars changed: 37088 → 37324.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_ef669b3e48bded41dcad", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-22T17:06:39.688103Z", "before": 36955, "after": 37088, "explanation": "Stars changed: 36955 → 37088.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_72fe3eed184ce38b29b2", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-22T07:47:03.349413Z", "before": 36859, "after": 36955, "explanation": "Stars changed: 36859 → 36955.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_e9fe209bb6b3ea029118", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-21T23:47:16.337043Z", "before": 36839, "after": 36859, "explanation": "Stars changed: 36839 → 36859.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_95d3255c2ac2035d74b4", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-21T21:47:01.452749Z", "before": 36629, "after": 36839, "explanation": "Stars changed: 36629 → 36839.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_bc7f41115a9d300d30c7", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "version_changed", "occurred_at": "2026-09-21T05:07:13.847315Z", "before": "v1.11.0", "after": "v1.12.0", "explanation": "Version changed: v1.11.0 → v1.12.0.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_0bf726d2456497cc1971", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-21T05:07:13.847315Z", "before": 36552, "after": 36629, "explanation": "Stars changed: 36552 → 36629.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_989ef897be8a14aa2afd", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-20T17:06:32.868873Z", "before": 36444, "after": 36552, "explanation": "Stars changed: 36444 → 36552.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_478a22400b0149682596", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-20T05:06:31.934582Z", "before": 36341, "after": 36444, "explanation": "Stars changed: 36341 → 36444.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_f8e26d4223dfa45d1bf7", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-19T17:06:40.081307Z", "before": 36241, "after": 36341, "explanation": "Stars changed: 36241 → 36341.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_58f00c14d75163f7e5b1", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-19T07:48:56.009844Z", "before": 35704, "after": 36241, "explanation": "Stars changed: 35704 → 36241.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_7ee934ce9a3964df6525", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-17T21:45:13.795340Z", "before": 35412, "after": 35704, "explanation": "Stars changed: 35412 → 35704.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_8234e6b8e355ce80b308", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-17T11:46:10.011992Z", "before": 33022, "after": 35412, "explanation": "Stars changed: 33022 → 35412.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": true }, { "id": "evt_a27d1de0ca95c9d55897", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-15T11:46:09.382347Z", "before": 28691, "after": 33022, "explanation": "Stars changed: 28691 → 33022.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": true }, { "id": "evt_4ea25ea8ffb05fd0d8bc", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "version_changed", "occurred_at": "2026-09-15T11:46:09.382347Z", "before": "v1.10.2", "after": "v1.11.0", "explanation": "Version changed: v1.10.2 → v1.11.0.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_9c9d66e9b6ee85408c78", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-13T05:04:21.529456Z", "before": 28344, "after": 28691, "explanation": "Stars changed: 28344 → 28691.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_266d8e5ffcb34c78ea31", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-12T17:04:32.267494Z", "before": 28044, "after": 28344, "explanation": "Stars changed: 28044 → 28344.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_0950e8bc1b478dba3b8a", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-12T11:11:34.373380Z", "before": 27624, "after": 28044, "explanation": "Stars changed: 27624 → 28044.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_460332cbf0bff3360985", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-11T09:31:02.897429Z", "before": 27035, "after": 27624, "explanation": "Stars changed: 27035 → 27624.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": true }, { "id": "evt_612b2123bbe9605dc9b2", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-08T05:09:03.158117Z", "before": 27029, "after": 27035, "explanation": "Stars changed: 27029 → 27035.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_a2bdba505274ccfb7ed5", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-08T02:51:30.075268Z", "before": 26828, "after": 27029, "explanation": "Stars changed: 26828 → 27029.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_57d1f7d743f2bad2e4f2", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-07T00:00:00Z", "before": 26809, "after": 26828, "explanation": "Reconstructed from adjacent retained daily snapshots; no upstream cause is inferred. Stars changed: 26809 → 26828.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_dcfc84525e84c92adf66", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-04T19:00:49.017076Z", "before": 26647, "after": 26809, "explanation": "Stars changed: 26647 → 26809.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_5c9761e7ded0766e3832", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-03T00:00:00Z", "before": 26610, "after": 26647, "explanation": "Reconstructed from adjacent retained daily snapshots; no upstream cause is inferred. Stars changed: 26610 → 26647.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_0ff173a4d60c1064a045", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-01T19:29:45.039717Z", "before": 26589, "after": 26610, "explanation": "Stars changed: 26589 → 26610.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_e10a9c0a822d450f8e6f", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-01T14:56:19.711844Z", "before": 26572, "after": 26589, "explanation": "Stars changed: 26572 → 26589.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_f7492bc11eabb459aa17", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-01T10:18:32.140826Z", "before": 26563, "after": 26572, "explanation": "Stars changed: 26563 → 26572.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_d8ef842fb5d7ceba96c7", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "maintenance_changed", "occurred_at": "2026-09-01T10:18:32.140826Z", "before": "source_activity_not_yet_measured", "after": "active", "explanation": "Maintenance changed: source_activity_not_yet_measured → active.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_c5dfd879b46de3b293c4", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "version_changed", "occurred_at": "2026-09-01T10:18:32.140826Z", "before": null, "after": "v1.10.1", "explanation": "Version changed: not recorded → v1.10.1.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_370cc48dc6fcab1cb484", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-01T09:30:48Z", "before": 26557, "after": 26563, "explanation": "Stars changed: 26557 → 26563.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_17df53e1e694ec49b480", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "stars_changed", "occurred_at": "2026-09-01T06:21:40Z", "before": 26472, "after": 26557, "explanation": "Stars changed: 26472 → 26557.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false }, { "id": "evt_1ef324ab19330d571615", "entity_id": "gh:justvugg/colibri", "item_url": "/item/colibr-pure-c-inference-engine-that-runs-744b-to-2-8t-moe-models-by-trea/", "title": "colibrì — pure-C inference engine that runs 744B to 2.8T MoE models by treating disk, RAM and VRAM as one memory hierarchy", "category": "other", "kind": "new_entity", "occurred_at": "2026-08-30T18:07:43Z", "before": null, "after": "try_now", "explanation": "Newly added to RepoRadar's decision catalog.", "explanation_scope": "catalog_snapshot_delta", "evidence_refs": {}, "tier": "Gold", "risk": "none", "verdict": "try_now", "score": 8.9, "entity_kind": "open_source", "verification_stage": "discovered", "type": "Tool", "section": "Local Inference", "local_ai": true, "local_model_compatible": true, "discovery_topic": "inference_runtime", "discovery_topic_status": "candidate", "setup_ease": 6.4, "best_for": [ "developers who want to run frontier-scale open-weight models on hardware they already own", "people evaluating whether expert streaming is fast enough for their workload before buying GPUs" ], "risk_categories": [], "search_text": "colibrì — pure-c inference engine that runs 744b to 2.8t moe models by treating disk, ram and vram as one memory hierarchy justvugg open_source other inference_runtime gold none try_now developers who want to run frontier-scale open-weight models on hardware they already own people evaluating whether expert streaming is fast enough for their workload befo", "material_mover": false } ] }