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mims-harvard/ToolUniverse

Democratizing AI scientists with ToolUniverse

Latest metrics (snapshot 2026-10-14)

stars1734
forks264
issues13
pushed_at2026-10-14T07:38:17Z

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
2026-10-141734

ADC Momentum: 25/100

ADC Momentum 25 Leaderboard

Growth velocity8
Consistency7
Recency98
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

descriptionDemocratizing AI scientists with ToolUniverse
urlhttps://github.com/mims-harvard/ToolUniverse
languagePython
licenseApache-2.0
topicsagents
ai-agents
ai-communication
ai-for-science
ai-scientists
automated-science
autonomous-agents
co-pilot
co-scientist
llms
lrm
mcp-servers
created_at2025-03-03T21:09:47Z
homepagehttps://aiscientist.tools

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