# Danielxu0208/rsi\_eval

<https://repo.masters-masters.com/en/repos/Danielxu0208/rsi_eval>

[Home](https://repo.masters-masters.com/en) › [Danielxu0208](https://repo.masters-masters.com/en/owners/Danielxu0208) › [rsi\_eval](https://repo.masters-masters.com/en/repos/Danielxu0208/rsi_eval)

Danielxu0208/rsi\_eval has 367 stars on GitHub. Its RepoMasters card: Alpha tier. A lightweight Python SDK and CLI for evaluating recursive self-improvement…

| Field | Value |
| --- | --- |
| Owner | [Danielxu0208](https://repo.masters-masters.com/en/owners/Danielxu0208) |
| Stars | 367 |
| Forks | 15 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2026 |
| Topics | ai-agents, benchmarking, llm-evaluation, python, recursive-self-improvement, rsi |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [Danielxu0208/rsi\_eval](https://github.com/Danielxu0208/rsi_eval) |

## Repository

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

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.