by kandada · Agent Tool · ★ 127
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FastClaw A lightweight but powerful AI Agent framework in Python. PyPI Installation (Recommended) Configure Agent After starting, visit http://localhost:8765 , click Settings in the top right corner to configure mainagent, recommended: deepseek-chat. Or edit the config file: CLI Usage Git Clone Configure Agent After starting, visit http://localhost:8765 , click Settings in the top right corner to configure mainagent, recommended: deepseek-chat. Or edit the config file: CLI Usage Design Philosophy FastClaw is built on the core concept of event-driven agent orchestration. Key design principles: Graph-based Agent: Uses a directed graph to orchestrate agent behavior, s
| Stars | 127 |
| Forks | 20 |
| Language | Python |
| Category | Agent Tool |
| License | GPL-3.0 |
| Quality Score | 69.2747241110984/100 |
| Open Issues | 2 |
| Last Updated | 2026-06-29 |
| Created | 2026-03-27 |
| Platforms | python |
| Est. Tokens | ~14k |
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fastclaw is A python-based light but strong lobster. A lightweight but powerful AI Agent framework in Python, with multi-channel support, tool calling, cron scheduling and streaming output. It is categorized as a Agent Tool with 127 GitHub stars.
fastclaw is primarily written in Python.
You can find installation instructions and usage details in the fastclaw GitHub repository at github.com/kandada/fastclaw. The project has 127 stars and 20 forks, indicating an active community.
fastclaw is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
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