by razzant · MCP Server · ★ 1.0k
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Ouroboros Ouroboros is an open-source, general-purpose AI agent whose identity, durable memory, and history continue across tasks and restarts. It works on external projects, coordinates a live swarm of specialist agents, and can rewrite the implementation it runs on, including its code, architecture, prompts,
| Stars | 1,015 |
| Forks | 581 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 64.05069299293/100 |
| Open Issues | 80 |
| Last Updated | 2026-08-09 |
| Created | 2026-02-11 |
| Platforms | mcp, python |
| Est. Tokens | ~23k |
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ouroboros is Ouroboros — self-creating AI agent. Born Feb 16, 2026.. It is categorized as a MCP Server with 1.0k GitHub stars.
ouroboros is primarily written in Python. It covers topics such as agentic-ai, ai-agent, ai-agents.
You can find installation instructions and usage details in the ouroboros GitHub repository at github.com/razzant/ouroboros. The project has 1.0k stars and 581 forks, indicating an active community.
ouroboros is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ouroboros on Agent Skills Hub include openyak, awesome-openclaw, awesome-openclaw. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.