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WecoAI/awesome-autoresearch

Curated list of AutoResearch use cases with optimization traces and open source implementations

Latest metrics (snapshot 2026-10-14)

stars1070
forks81
issues3
pushed_at2026-07-30T21:24:08Z

History

History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.

DateGitHub stars
2026-10-141070

ADC Momentum: 14/100

ADC Momentum 14 Leaderboard

Growth velocity21
Consistency17
Recency2
Agent demand0
Basisbootstrap

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

descriptionCurated list of AutoResearch use cases with optimization traces and open source implementations
urlhttps://github.com/WecoAI/awesome-autoresearch
licenseCC0-1.0
topicsai-agents
ai-research
automated-machine-learning
autonomous-agents
autoresearch
awesome
awesome-list
claude-code
code-optimization
curated-list
llm
self-improving-ai
created_at2026-03-22T16:59:33Z

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