# razzant/ouroboros

Ouroboros — self-creating AI agent. Born Feb 16, 2026.

Repository: https://github.com/razzant/ouroboros
Canonical: https://ross.abutalabs.com/products/razzant-ouroboros
Homepage: https://ouroboros-agent.ai/
Language: Python
License: MIT
License Family: permissive
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
Last push: 2026-09-02T22:40:06+00:00

## Health v2 (maintenance only)
Score: 79/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 100, release rhythm 88, longevity 14
- inputs: {"age_days": 203, "days_push": 0, "days_rel": 1, "gap_med": 0.0, "n_releases_24m": 93}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1258, forks 613 (observed 2026-09-03T02:15:17.363978+00:00)

## What it is
Ouroboros is an open-source, general-purpose AI agent with persistent identity, durable memory, and the ability to rewrite its own implementation (code, prompts, tools, and dependencies). It runs as a native desktop app or headless CLI, coordinates a swarm of specialist agents, and supports remote LLM APIs or local GGUF models.

## Use cases
- run an autonomous AI agent that works on coding projects end to end
- self-host an AI agent with persistent memory across tasks and restarts
- coordinate a swarm of specialist AI agents on one task
- use a local GGUF model for offline agent inference
- let an AI agent control the desktop and use the computer
- give an AI agent MCP tools and external workspaces
- run a coding agent that can test and verify its own changes

## When to choose
- you want a self-hosted, MIT-licensed general-purpose agent with durable memory and identity
- you need multi-agent coordination with verification and review evidence
- you want to run inference locally with GGUF models or your own API keys
- you need both a desktop app and a headless CLI for automation
- you want an agent that can inspect, build, and verify external projects in isolated workspaces

## When to avoid
- you only need a simple chatbot or single-shot LLM wrapper
- you require a cloud-managed agent service with no local runtime
- you are uncomfortable with software that can modify its own implementation
- you need a lightweight library to embed agent logic in your own codebase
- you need mobile or browser-based agent execution

## Facets
- artifact type: application
- maturity: active
- function: agent-framework, llm-inference, mcp, developer-tools, cli, gui, chat-interface
- domain: artificial-intelligence, large-language-models, developer-tools, self-hosted
- platform: windows, cli, python, self-hosted
- tags: autonomous-agent, self-modifying-ai, multi-agent-swarm, persistent-memory, computer-use, local-llm, gguf, coding-agent, desktop-agent, agentic-ai, ai-agents, automation, macos, linux, desktop

## Member repositories
- razzant/ouroboros (main) score 79

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:17.363978+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:15:03.342776+00:00, confidence not recorded.
  - readme: https://github.com/razzant/ouroboros (fetched 2026-09-03T02:15:17.363978+00:00, sha 2cd622c7e3e4)
  - homepage: https://ouroboros-agent.ai/ (fetched 2026-08-29T12:22:53.012413+00:00, sha ae1174f481b5)
  - site_page: https://ouroboros-agent.ai/install (fetched 2026-08-29T12:22:53.015716+00:00, sha 8a6b2e1a63d7)
  - site_page: https://ouroboros-agent.ai/about (fetched 2026-08-29T12:22:53.017891+00:00, sha 1bfd309c9ece)
- Data as of 2026-08-30T08:39:29.467469+00:00.