Single source of truth for AI coding agent configuration — skills, commands and rules shared across OpenCode and Pi.

Agentic personal OS to automate high-leverage workflows with Codex, Claude Code, Pi, OpenClaw and other coding agents/ runtime platforms.

Create production-ready skills and agents for OpenClaw. 4-level memory, auto-improvement, 22 battle-tested pitfalls.

Up to 71.5x fewer tokens per session on Claude Code with Obsidian + Graphify. Persistent memory, codebase knowledge graphs, and chat import pipeline. 🇧🇷 PT-BR included.

Agentic game development taken to the next level: plan, build and test across major engines with any coding agent🤖

Native-session control plane for Codex, Claude Code, OpenCode, OMP and PI. Run, resume and hand off coding sessions across your machines.

a coding Agent, rpc plugin, sub-agents, hashline edits, and mcp

a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task

Public results and task definitions for FrontierHarness Eval

Headless product design for AI coding agents, backed by a transactional product graph | Design how it works, verify what you ship.

VexJoy AI Agent with Intelligent Routing - /do routes plain-English requests to the right specialist agent and gates the work with reviews, tests, and a learning loop.

Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.

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

Research and scraping agent skeleton: tool loop, loadable skills, fallback chains. No data included, configured via .env.