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areal-project/AReaL

The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.

Latest metrics (snapshot 2026-10-15)

stars5834
forks625
issues136
pushed_at2026-10-15T04:49:01Z

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
2026-10-155834

ADC Momentum: 67/100

ADC Momentum 67 Leaderboard

Growth velocity76
Consistency61
Recency100
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

descriptionThe RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
urlhttps://github.com/areal-project/AReaL
languagePython
licenseApache-2.0
topicsagent
llm
llm-agent
llm-reasoning
machine-learning-systems
mlsys
reinforcement-learning
rl
created_at2025-02-24T07:23:43Z
homepagehttps://areal-ai.io

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