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chutingyean/Agent-Cockpit

Evidence-chain whiteboard + MCP server for AI research agents: every claim traces back to the run and code that produced it. 讓 AI agent 做研究時,每個結論都能追到產生它的程式碼。Claude Code · Codex · Cursor · Gemini CLI

Latest metrics (snapshot 2026-11-07)

stars403
forks8
issues0
pushed_at2026-11-06T06:54:12Z

History

GitHub stars: 363 – 4032026-11-062026-11-07
DateGitHub stars
2026-11-07403
2026-11-06363

ADC Momentum: 76/100 (+7 since previous day)

ADC Momentum 76 Leaderboard

Growth velocity82
Consistency100
Recency95
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

descriptionEvidence-chain whiteboard + MCP server for AI research agents: every claim traces back to the run and code that produced it. 讓 AI agent 做研究時,每個結論都能追到產生它的程式碼。Claude Code · Codex · Cursor · Gemini CLI
urlhttps://github.com/chutingyean/Agent-Cockpit
languageJavaScript
licenseAGPL-3.0
topicsai-agents
claude-code
code-review
codex
developer-tools
knowledge-graph
mcp
mcp-server
model-context-protocol
nodejs
provenance
reproducibility
created_at2026-10-26T18:44:46Z

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