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."

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, extended from ML to general software engineering. Zero dependencies, pure Python 3.10+.