InternLM/WildClawBench
An in-the-wild benchmark for AI agents in the production harness.
- Stars
- 533
- Forks
- 65
- Open issues
- 0
- Last push
- 1mo ago
About WildClawBench
WildClawBench is a free, open-source AI agent tool by InternLM, written mainly in Python. An in-the-wild benchmark for AI agents in the production harness. It has 533 GitHub stars and 65 forks, and was last updated 1mo ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Python
- Stars
- 533
- Last update
- 1mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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WildClawBench FAQ
Is WildClawBench free?
Yes. WildClawBench is open source and free to use. It's released under the MIT license, a standard open-source license.
Does WildClawBench run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does WildClawBench need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is WildClawBench still maintained?
It was last updated 1mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to WildClawBench?
Similar free, open-source tools include hermes-agent, paperclip, ruflo, anything-llm.