ZJU-REAL/SDAR
Official code for "Self-Distilled Agentic Reinforcement Learning"
- Stars
- 372
- Forks
- 25
- Open issues
- 3
- Last push
- 8d ago
About SDAR
SDAR is a free, open-source AI agent tool by ZJU-REAL, written mainly in Python. Official code for "Self-Distilled Agentic Reinforcement Learning". It has 372 GitHub stars and 25 forks, and was last updated 8d ago. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Python
- Stars
- 372
- Last update
- 8d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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SDAR FAQ
Is SDAR free?
Yes. SDAR is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does SDAR run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does SDAR need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is SDAR still maintained?
Yes. It was last updated 8d ago and has 3 open issues on GitHub.
What are alternatives to SDAR?
Similar free, open-source tools include hermes-agent, ruflo, paperclip, taste-skill.