Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for AI engineering teams and platform teams who need a unified control plane to observe / push / pause / steer / resume production agents across Claude Code / Codex / LangGraph / CrewAI / AutoGen, for organizations that need durable-agent semantics (resume an agent that crashed mid-run) without writing the durability layer themselves, and for anyone evaluating an Apache-2.0 alternative to
Who should use it
Who should skip it
Consider omnara-ai/omnara lower priority if you already have a working solution in this category.
About this signal
omnara-ai/omnara is tracked by RepoRadar as a developer tool in the Agent Infrastructure section. First seen 2026-08-12; the source record was last checked on 2026-08-12. The current verdict is 'try now' with a Gold tier and moderate setup difficulty. The standout signals for omnara-ai/omnara are workflow potential (9.4) and open-source/build quality (8.4), while maturity (6.3) trails — that balance shapes where it fits best. This page summarizes the public evidence on the linked source page and states where additional review is still needed.
How this item is evaluated
The omnara-ai/omnara record combines a 7.9/10 composite score with separate popularity (2.7), risk (low), and setup (moderate) signals. See the scoring methodology for the current weights and evidence definitions.
Putting this into practice? Read How to vet an AI agent or MCP server before you wire it in for the checklist behind this score.
Risk explanation
Risk label is still being reviewed from the captured evidence. Treat the item as unknown-risk until you review the linked source, permissions, setup path, and data access.