Open source software factory infrastructure for advanced AI coding workflows

Multi-Agent Harness for Production AI

Autonomous game development for Godot, Bevy, and Babylon.js with Claude Code and Codex

Multi-agent orchestration for Claude Code with 15-30% token optimization, self-improving agents, and automatic verification

Run multiple agents in parallel sandboxed VMs, with a single command, on your PC or in the cloud

A lightweight agent harness you bolt onto your app so an LLM can operate it — safely, and cheaply.

A ready-to-fork Claude Code template for academics using LaTeX/Beamer + R. Multi-agent review, quality gates, adversarial QA, and replication protocols.

Turn product ideas into production launches with Spec-Driven Development. Repeatable Claude Code workflows with quality gates, token budgets, and auditable artifacts.

Local-first, self-hosted AI agent runtime and MCP bridge with sandboxed sessions, memory, credentials, audit/replay, and a local Console.

Practical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani and Boris Cherny). Includes loop-audit, loop-init, loop-cost.

Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration

Turns AI coding tools into reliable software delivery systems. Drop a .gaai/ folder into any project — Discovery defines what to build, Delivery executes autonomously until criteria pass. Works with Claude Code, Codex CLI, Gemini CLI, Cursor, and more. No SDK. No package. Markdown + YAML + bash.