Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for researchers, operator teams, and AI builders who need a practical deep-research loop that can execute source-gathering, filtering, and synthesis with LLM orchestration, because it shortens evidence hunting and reduces the overhead of manually coordinating multiple retrieval and summarization steps.
Where this stands now
assafelovic/gpt-researcher ranks #73 of 3231 tracked Radar items by composite score (8.6 against a section median of 4.9). The section currently carries 2115 Bronze, 645 Gold, 471 Silver. RepoRadar has retained observations for this record since 2026-06-21 (111 days in the current window). Signal extremes versus the section: momentum at the 85th percentile; novelty at the 85th percentile.
Who should use it
Who should skip it
Skip assafelovic/gpt-researcher unless the captured evidence suggests it solves a problem you are actively working on.
About this signal
assafelovic/gpt-researcher is tracked by RepoRadar as a developer tool in the Radar section. First seen 2026-06-21; the source record was last checked on 2026-06-21. The current verdict is 'try now' with a Gold tier and moderate setup difficulty. Across RepoRadar's eight signals, assafelovic/gpt-researcher is strongest on workflow potential (10.0) and practical usefulness (9.0) and weakest on setup ease (6.4) — a profile worth weighing against your own priorities. 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 assafelovic/gpt-researcher record combines a 8.6/10 composite score with separate popularity (8.5), risk (low), and setup (moderate) signals. See the scoring methodology for the current weights and evidence definitions.
Questions worth asking before you adopt this
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
It performs external research and can pull data from many sites, so keep source allowlists, secrets, and output review policy explicit before giving it sensitive user tasks.