ouroboros MCP Server
razzant/ouroboros
[](https://agentrank-ai.com/tool/razzant--ouroboros/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Ouroboros — self-creating AI agent. Born Feb 16, 2026.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
razzant/ouroboros is a Python tool licensed under MIT. Ouroboros — self-creating AI agent. Born Feb 16, 2026. Topics: ai-agent, autonomous-agent, coding-agent, computer-use, desktop-agent, developer-tools, digital-being, general-purpose-agent, local-llm, multi-agent-systems, open-source-ai, persistent-memory, self-evolving-ai, self-modifying-ai, background-consciousness, agentic-ai, ai-agents, llm, mcp, self-hosted.
Ranked #659 out of 24846 indexed tools.
In the top 3% of all indexed tools.
Has 1,466 GitHub stars.
Has 43 contributors.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
1,466 stars → well-known project
Last commit 1d ago → actively maintained
515/823 issues closed → decent issue management
43 contributors → active community
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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[](https://agentrank-ai.com/tool/razzant--ouroboros/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) <a href="https://agentrank-ai.com/tool/razzant--ouroboros/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/razzant--ouroboros" alt="AgentRank"></a> Matched Queries
From the README
# Ouroboros <a href="https://github.com/oslook/github-trending/blob/1d61d20a46f66a9590286bf23a8ce8db99be3acf/2026-08-04/python_weekly_trending.json"></a> [][download-macos-arm64] [][download-windows-x64] 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, tools, and dependencies. Reflection can also change how it understands itself without severing that continuity. It runs as a native desktop app or through a headless CLI. The runtime keeps its repository, durable memory, history, and interface on your machine, while model inference can use remote APIs you configure or a local GGUF model. > **Changing Ouroboros? Coding agents and people must read [CONTRIBUTING.md](CONTRIBUTING.md) before editing.** It defines the required project contRead full README on GitHub →
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