The amux control plane coordinates AI coding agents across shared boards, atomic tasks, schedules, and model switching.
Ouroboros
The Ouroboros project describes a self-creating AI agent created in 2026.

About Ouroboros
Ouroboros is an open-source, general-purpose AI agent that retains identity, durable memory and history across tasks and restarts. It works on external projects, coordinates specialist agents, and can rewrite its own code, architecture, prompts, tools and dependencies.
It runs as a native desktop app or headless CLI with its repository, memory, history and interface kept on the local machine. Model inference uses a configured remote API or a local GGUF model, and running tasks requires a Codex account, provider key, or local model.
Key features
- Retains identity, memory and history across restarts
- Works on external projects
- Coordinates a live swarm of specialist agents
- Rewrites its own code, prompts, tools and dependencies
- Runs as desktop app or headless CLI
- Uses configured remote APIs or local GGUF model
- Open-source with repository, memory, history and interface kept on the local machine
- Sends no telemetry by default with no official usage or crash-report collection
- Ships native packages for macOS, Windows and multiple Linux distributions with optional CLI
- Requires a Codex account, remote provider API key, or local GGUF model to run tasks
- Claude Code and Cursor subscriptions cannot be used as Main model sources
- Android build is experimental and requires Magisk-rooted ARM64 plus Python and adb for USB setup
Ouroboros at a glance
- Website
- github.com/razzant/ouroboros
- Category
- AI & Machine Learning › AI Agents & Automation
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Ouroboros FAQ
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