Ouro
Description
Ouro is an open-source AI agent — run it as a Coding agent CLI or deploy it as a bot just like JARVIS.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
[](https://pypi.org/project/ouro-ai/) [](LICENSE) []()
*An open-source AI agent — run it as a Coding agent CLI or deploy it as a bot just like JARVIS.*
Ouro is derived from Ouroboros—the ancient symbol of a serpent consuming its own tail to form a perfect circle. It represents the ultimate cycle: a closed loop of self-consumption, constant renewal, and infinite iteration.
At Ouro AI Lab, this is our blueprint. We are building the next generation of AI agents capable of autonomous evolution—systems that learn from their own outputs, refine their own logic, and achieve a state of infinite self-improvement.
Two Modes, One Agent
Ouro ships with a unified agent core and two deployment modes:
| CLI Mode | Bot Mode | |
|---|---|---|
| What | Interactive REPL + one-shot task execution | Persistent IM assistant (Lark, Slack) |
| Install | uv tool install ouro-ai |
uv tool install ouro-ai |
| Run | ouro-cli |
ouro-bot |
| Guide | CLI Guide | Bot Guide |
Architecture
Ouro is organized into three layers with strict downward-only imports:
*Each layer has its own README — start with the [umbrella overview](ouro/README.md), then drill into [`core`](ouro/core/README.md), [`capabilities`](ouro/capabilities/README.md), or [`interfaces`](ouro/interfaces/README.md).*
Features
🤖 Agent Swarm — Multi-Agent Swarm with Persistent Tasks
The flagship feature. Enable with `ENABLE_AGENT_SWARM=true` in `~/.ouro/config`.
- Persistent Task Store — SQLite-backed tasks with dependency graphs (
task_create,task_claim,task_update,task_list, `task_ge
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