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liyingze07-svg/EffectiveAutoResearch-EAR-

An open research workbench for idea discovery, autonomous mathematics, and evidence-grounded rebuttals.

Latest metrics (snapshot 2026-10-14)

stars148
forks7
issues0
pushed_at2026-10-08T08:23:12Z

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
2026-10-14148

ADC Momentum: 35/100

ADC Momentum 35 Leaderboard

Growth velocity33
Consistency27
Recency73
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

descriptionAn open research workbench for idea discovery, autonomous mathematics, and evidence-grounded rebuttals.
urlhttps://github.com/liyingze07-svg/EffectiveAutoResearch-EAR-
languagePython
licenseMIT
topicsai-agents
claude
codex
mathematics
rebuttal
research-automation
scientific-discovery
created_at2026-09-26T08:26:22Z

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