Danielxu0208/rsi_eval
Evaluate recursive self-improvement methods for AI agents.
- Stars
- 305
- Forks
- 14
- Open issues
- 0
- Last push
- 2d ago
rsi_eval star history
+102 this week
Get rsi_eval running
Setup: Hard · build from source, typically 1–3 hours
Full install steps in the README →Can I sell what I build with it?
Yes
A guide, not legal advice.
About rsi_eval
rsi_eval is a free, open-source AI agent tool by Danielxu0208, written mainly in Python. Evaluate recursive self-improvement methods for AI agents. It has 305 GitHub stars and 14 forks, and was last updated 2d ago. It's released under the Apache-2.0 license, a standard open-source license. According to the project, it runs on a regular CPU without a GPU.
- License
- Apache-2.0
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 305
- Last update
- 2d ago
- Runs on Mac
- Not stated
- GPU
- Not needed (runs on CPU)
- Paid API key
- Not required
- Self-hostable
- Yes
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rsi_eval FAQ
Can I use rsi_eval commercially?
Yes. Apache-2.0 is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is rsi_eval free?
Yes. rsi_eval is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does rsi_eval run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does rsi_eval need a GPU?
No. According to the project, rsi_eval runs on a regular CPU.
Is rsi_eval still maintained?
Yes. It was last updated 2d ago and has 0 open issues on GitHub.
How hard is rsi_eval to set up?
Hard: typically 1–3 hours, using build from source.
What are alternatives to rsi_eval?
Similar free, open-source tools include hermes-agent, AutoGPT, mem0, firecrawl.
Maintain rsi_eval?
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