CheetahClaws is an open-source, Python-native agent system designed for creating autonomous workflows that leverage multiple language models. It supports extensibility, tool use, and integration with various LLMs, making it suitable for developers and researchers building advanced AI agent applications.
CheetahClaws sits in PulseGate's Autonomous agents & workflows category. Enabling developers to build and orchestrate autonomous AI agent workflows using multiple language models. It is built as an open-source project for AI developers and researchers. CheetahClaws is open source under the Apache-2.0 license. CheetahClaws is available on the command line and API, and it can be self-hosted.
It is developed by SafeRL-Lab, and the product first shipped in 2026. Development happens publicly on GitHub with 750 stars and 414 commits in the last 90 days. Key capabilities include extensible architecture, multi-model support, and autonomous agent workflows. It exposes integrations via an MCP server and a public API.
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