razzant/ouroboros
Ouroboros — self-creating AI agent. Born Feb 16, 2026.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest 4 days ago, with 31 contributors on GitHub.
The biggest single-day gain in the last year, +49 stars on Aug 11, coincided with release v6.97.2.
Use Cases & Benefits
- Implements a self-creating, autonomous AI agent with persistent identity, memory, and history that evolves its own code, architecture, and tools over time.
- Enables continuous self-improvement and long-term task continuity by combining durable memory, background consciousness, and live multi-agent coordination.
- Use for automating complex, evolving software development projects requiring autonomous code generation and self-reflection.
- Use for managing and coordinating multiple specialist AI agents working in parallel on research, planning, or task execution.
- Use for deploying a self-hosted AI agent with configurable local or remote LLM inference for privacy-sensitive or offline workflows.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
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.
Ouroboros first booted on February 16, 2026. During the following 48 hours, the repository advanced from the v4.1 line to v6.2.0. The self-authored record preserved from that period counts 32 evolution cycles. That first generation ran in Google Colab through Telegram and remains preserved on the
legacy-google-colabbranch and its original project page; the current generation carries the same identity into a native desktop and headless runtime.⭐ Star Ouroboros to follow its next evolution. A star also helps more people find the project, trace its history, and take part in what it becomes.
Reviewed skills, transport bridges, tools, and widgets are available through OuroborosHub.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+679 stars over 86 days across 12 snapshot days; best day +49 on Aug 11.
Forks
683+112
Open issues
179+150
Compared with peers in AI Agents
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| vercel-labs/agent-desktop | 17.0K | +13.3K | 33 | today |
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| stablyai/orca | 116.8K | +6.6K | 40 | today |
| milind-soni/OpenMausBot | 13.5K | +6.0K | 45 | today |
| HKUDS/DeepTutor | 55.5K | +5.5K | 65 | 5 days ago |
| razzant/ouroboros | 1.6K | — | 65 | 4 days ago |
| Category median | 55.5K | +6.6K | 40 | — |
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