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jwuthri-cloud/Tracely-ai

Trace-native CI/CD for AI agents: grade production traces, cluster failures, freeze them into replayable regression tests, and block PRs that regress. Self-hostable.

Latest metrics (snapshot 2026-10-28)

stars1206
forks141
issues21
pushed_at2026-10-26T18:09:41Z

History

GitHub stars: 945 – 12062026-10-182026-10-28
DateGitHub stars
2026-10-281206
2026-10-271191
2026-10-261174
2026-10-251168
2026-10-241163
2026-10-231154
2026-10-221166
2026-10-211155
2026-10-201099
2026-10-191039
2026-10-18945

ADC Momentum: 59/100 (-7 since previous day)

ADC Momentum 59 Leaderboard

Growth velocity50
Consistency90
Recency93
Agent demand0
Basisarchive

ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method

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Details

descriptionTrace-native CI/CD for AI agents: grade production traces, cluster failures, freeze them into replayable regression tests, and block PRs that regress. Self-hostable.
urlhttps://github.com/jwuthri-cloud/Tracely-ai
languagePython
licenseMIT
topicsagent-evaluation
ai-agents
ai-testing
ci-cd
clickhouse
developer-tools
llm-evaluation
llm-observability
llmops
mcp
observability
python
created_at2026-10-11T15:38:03Z
homepagehttps://tracely-ai.com

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