by kstevica · Agent Tool · ★ 160
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Captain Claw An open-source AI agent with multi-agent orchestration, autonomous cognitive systems, and a full management dashboard. Runs locally, supports every major LLM provider, and ships with 45 built-in tools. What's New in 0.5.5 Self-aware in time — timing context, live token meters, and a calmer agent. A self-awareness + reliability release. Fully additive. Activity-timing context — every turn the agent now knows when: last user message, last reply, last scheduled/cron run, the next-run ETA for this session, plus a part-of-day/weekday hint and conversation cadence. Real user messages are tracked separately from automated runs. Live token meters — the
| Stars | 160 |
| Forks | 13 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 62.0693744276337/100 |
| Last Updated | 2026-08-01 |
| Created | 2026-02-17 |
| Platforms | cli, python |
| Est. Tokens | ~21k |
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captain-claw is Self-hosted framework for orchestrating fleets of specialist AI agents — ensemble reasoning and a full agentic coding pipeline, model-agnostic and local-friendly.. It is categorized as a Agent Tool with 160 GitHub stars.
captain-claw is primarily written in Python. It covers topics such as agent-orchestration, agentic-coding, agentic-workflow.
You can find installation instructions and usage details in the captain-claw GitHub repository at github.com/kstevica/captain-claw. The project has 160 stars and 13 forks, indicating an active community.
captain-claw is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to captain-claw on Agent Skills Hub include amux, swarmclaw, mate. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.