Your autonomous engineering team in a CLI. The agent loop produces senior-level code that you can actually trust in prod because of non-negotiable feedback from independent reviewers. Supports Claude Code, OpenAI Codex, OpenCode, and Gemini CLI with trivial setup.

An agent-native setup kit for turning a well-scoped repo into a supervised multi-agent coding loop, with Beacon loop planning. Stop prompting coding agents one task at a time. Give your repo a loop.

Personal AI agent — tell it what you want, it figures out how. Runs locally, plans autonomously, writes code, browses the web, and gets things done.

Documentation control room for the era of AI agent loops

Language-agnostic best practices for building reliable agentic loops. Pillar-by-pillar guide to goals, persistent state, verification gates, guardrails, and anti-patterns. Zero dependencies.

AI coding assistant built for real developer workflows.

Agent loop patterns and reusable Codex queue-loop template

A closed agent loop you can verify — runs in an EigenCompute TEE, signs every result, verified in your browser

Loops, not prompts. A curated list of loop engineering patterns, tools and templates for AI coding agents.

Predefined, reusable agent loops for Pi — declarative YAML pipelines with review gates, scoring, and goal-loop convergence. Built on pi-subagents.

9 reusable SKILL.md files for Claude Code and AI agents — keep-green, prod-watch, hill-climb, adversarial-verify, closed-loop, fleet-loop, and more.

AI agent patterns in C# / .NET 10 — 6 working projects covering tool orchestration, ReAct loops, RAG with grounded retrieval, MCP server implementation, and agent memory systems. Docker-ready, OpenAI/Claude/Gemini compatible.