Give AI coding agents (Claude Code, Cursor, Aider, Codex) a structured autonomous loop with guardrails — boundaries, 5 verification gates, 3-layer self-reflection, and autonomous remediation. pip install ouro-loop. Zero dependencies.
# Ouro Loop  > **"To grant an entity absolute autonomy, you must first bind it with absolute constraints."** [](https://opensource.org/licenses/MIT) [](https://pypi.org/project/ouro-loop/) [](https://www.python.org/downloads/) [](https://github.com/VictorVVedtion/ouro-loop/actions/workflows/test.yml) []() []() ## What is Ouro Loop? **Ouro Loop** is an open-source framework that gives AI coding agents (Claude Code, Cursor, Aider, Codex) a structured autonomous loop with runtime-enforced guardrails. It implements **bounded autonomy** — the developer defines absolute constraints (DANGER ZONES, NEVER DO rules, IRON LAWS) using the BOUND system, then the agent loops autonomously through Build → Verify → Self-Fix cycles. When verification fails, the agent doesn't ask for help — it consults its remediation playbook, reverts, tries a different approach, and reports what it did. Constraints are enforced at the runtime level through Claude Code Hooks (exit 2 hard-block), not by relying on the agent's "good behavior." Inspired by Karpathy's [autoresearch](https://github.com/karpathy/autoresearch), extended from ML to general software engineering. Zero dependencies, pure Python 3.10+. | | | |---|---| | **What it does** | Let AI agents code overnight without breaking things | | **How it works** | Define boundaries (BOUND) → AI loops: Build → Verify → Self-Fix | | **What you get** | `program.md` (method) + `framework.py` (runtime) + `sentinel.py` (24/7 review) + 5 ho
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