Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
ArtificialAnalysis/Stirrup matches RepoRadar's tracked scope on the repository's own declared topics (agents, ai, ai-agent, ai-agents, python), and is currently maintained: 649 stars and a push on 2026-10-12. This record states only what the repository states about itself; RepoRadar has not run it.
Where this stands now
artificialanalysis/stirrup ranks #263 of 1533 tracked Agent Infrastructure items by composite score (4.9 against a section median of 4.5). The section currently carries 1443 Bronze, 59 Silver, 31 Gold.
Who should use it
Who should skip it
Hold off on artificialanalysis/stirrup until it graduates from watchlist status with stronger evidence.
About this signal
artificialanalysis/stirrup is tracked by RepoRadar as an agent project in the Agent Infrastructure section. First seen 2026-10-12; the source record was last checked on 2026-10-12. The current verdict is 'watch' with a Bronze tier and unknown setup difficulty. The standout signals for artificialanalysis/stirrup are open-source/build quality (8.4) and evidence quality (7.2), while momentum (3.5) trails — that balance shapes where it fits best. This page summarizes the evidence RepoRadar captured from https://github.com/ArtificialAnalysis/Stirrup.
How this item is evaluated
The artificialanalysis/stirrup record combines a 4.9/10 composite score with separate popularity (0.0), risk (conditional), and setup (unknown) 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
Discovered automatically from GitHub metadata and not installed, run, or reviewed by RepoRadar; Scout-staged and not hands-on tested by RepoRadar. Evidence level is Official; confirm the vendor's current install, pricing, and access terms before adopting.