SafeRL-Lab/cheetahclaws
A Python-based agent harness framework for building long-horizon, multi-model AI systems that integrate with Claude and support tool-use capabilities.
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CheetahClaws provides infrastructure for developing and running autonomous AI agents capable of handling complex, multi-step tasks across extended time horizons. It supports multiple AI models, tool integration, and skill-based task execution. The framework includes security hardening, memory management, plugin/MCP sandboxing, and bridge integrations to platforms like QQ.
Frequently asked
- What is SafeRL-Lab/cheetahclaws?
- A Python-based agent harness framework for building long-horizon, multi-model AI systems that integrate with Claude and support tool-use capabilities.
- Is cheetahclaws open source?
- Yes — SafeRL-Lab/cheetahclaws is open source, released under the Apache-2.0 license.
- What language is cheetahclaws written in?
- SafeRL-Lab/cheetahclaws is primarily written in Python.
- How popular is cheetahclaws?
- SafeRL-Lab/cheetahclaws has 760 stars on GitHub.
- Where can I find cheetahclaws?
- SafeRL-Lab/cheetahclaws is on GitHub at https://github.com/SafeRL-Lab/cheetahclaws.