# AetherLabsAI/RSIAgent

> A training-free framework for recursive self-improvement of agents in new digital environments: Curriculum, Actor, and Verifier agents explore the environment and accumulate reusable memory while model parameters stay fixed.

- Magnitude: 0.6 out of 10 — Steady
- Stars: 442 total · +2 stars on 2026-09-29 (UTC)
- Star trust: star growth looks organic
- Category: AI agents · Language: Python · License: Apache-2.0 · Created: 2026-09-13 · Last push: 2026-09-16
- GitHub: https://github.com/AetherLabsAI/RSIAgent · Page: https://gitnova.dev/en/r/AetherLabsAI/RSIAgent

## Useful for

- Run the OSWorld benchmark via run_osworld.py to evaluate the agent on 108 tasks
- Build reusable procedure and script memory for a new program through the BRS and DRS phases
- Check the RSI contribution by comparing results with self-improvement on and off

## Why it’s here

- 2 stars today.
- The repository is 16 days old and already has 442 stars.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 47
- Issues and pull requests: 12
- Watchers: 1
- Average over the last week: 6 per day
- Usual pace: 23 per day

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-10-04 … 2026-11-02: None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None

## Magnitude by day, last 14 days

09-16 5.5, 09-17 4.2, 09-18 3.5, 09-19 2.6, 09-20 2.1, 09-21 2.0, 09-22 1.6, 09-23 1.4, 09-24 1.3, 09-25 1.1, 09-26 1.2, 09-27 1.1, 09-28 0.9, 09-29 0.8

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-09-29 23:45 UTC, updated every 30 minutes.