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Danielxu0208/rsi_eval

A lightweight Python SDK and CLI for evaluating recursive self-improvement (RSI) methods across agent benchmarks. Why it matters: worth a look if you build or run autonomous agents.

GitHub description: A lightweight Python SDK and CLI for evaluating recursive self-improvement (RSI) methods across agent benchmarks.

Stars

444

Last 24h

+15

Last 7 days

+145

Forks

19

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Star history

GitHub stars over time. A steeper line means the repo is gaining attention faster.

Last 48 hours · +45 stars

Hourly star count for Danielxu0208/rsi_eval444399Nov 5, 8 PM UTCNov 8, 10 AM UTC

Daily, since Nov 1, 2026 · 299 → 444

Daily star count for Danielxu0208/rsi_eval444299Nov 1, 2026Nov 8, 2026

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About rsi_eval

Danielxu0208/rsi_eval is a Python project in the AI agents category, created 27 days ago. It has 444 GitHub stars and 19 forks, and gained +145 stars over the last 7 days, ranking #95 of 99 AI agents repos tracked by OSS Radar this week.

See more trending AI agents repos or the top AI repos this week.

Language
Python
Category
AI agents
License
Apache-2.0
Created
Oct 12, 2026
Last code push
8 days ago (Oct 30, 2026)
Latest release
No releases yet

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rsi_eval is #371 of 450 on today's leaderboard.