razzant/ouroboros
Ouroboros — self-creating AI agent. Born Feb 16, 2026. observed · 2026-09-03
Health v2 · maintenance only
79/100
- Activity 100
- Release rhythm 88
- Longevity 14
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 0.0
- age_days: 203
- days_rel: 1
- days_push: 0
- n_releases_24m: 93
Adoption not part of the score
1258 stars · 613 forks observed · 2026-09-03
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
application · maturity active
agent-framework llm-inference mcp developer-tools cli gui chat-interface artificial-intelligence large-language-models developer-tools self-hosted windows cli python self-hosted 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
4 sources
- readme: https://github.com/razzant/ouroboros · fetched 2026-09-03 · 2cd622c7e3e4
- homepage: https://ouroboros-agent.ai/ · fetched 2026-08-29 · ae1174f481b5
- site_page: https://ouroboros-agent.ai/install · fetched 2026-08-29 · 8a6b2e1a63d7
- site_page: https://ouroboros-agent.ai/about · fetched 2026-08-29 · 1bfd309c9ece
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| razzant/ouroboros | main | 79 |
For agents
markdown · JSON · MCP: product_card(name="razzant/ouroboros")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem