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.

The scaffold for your multi-model, personalized Natural Language AI Harness (NLAH) .

Tau Coding Agent - like Pi, but twice as much

AI Harness Engineering Template — guardrails, gates, and boundaries for AI coding agents. One-command install. Zero dependencies.

A declarative UI framework for Blender addons and much more. 🥣

Hecate is an open-source AI gateway, coding-agent console, and agent-task runtime for routing OpenAI- and Anthropic-compatible traffic across cloud and local models, running external coding agents as supervised local adapters, controlling spend, and running agent work behind policy, approvals, and OpenTelemetry.

🐦‍⬛ SMTP for AI agents. No middleman.

Local AI harness/workstation: local AI image editor, Ollama image generation routing, SDXL inpainting UI, CivitAI model imports, 8GB VRAM Stable Diffusion.

Claude Code plugin & Gemini cli extension to keep ai running, keep data safe, plan better, and keep running until tasks are done.

(Beta) The Ultimate AI Coding Harness (Built on top of by Pi.dev)

🤖 Official Interactive Tutorial for OpenHarness – Zero to Hero in 12 Chapters | Learn OpenHarness like Claude Code: Agent Loop, Tools, Memory, Multi-Agent | 面向零基础的 AI Agent 交互式教程

Run Claude, Cursor, Copilot, and Gemini on the same codebase without rule-file chaos. Bilingual (EN/KO) AGENTS.md-first seed prompts for bootstrap, migration, and multi-agent coordination.

AI Assistant - The Good One

A pluggable exploration-memory system for any agent

Diagnose and fix the harness around your AI agent — the system that decides whether it succeeds or fails. Skills for Claude Code, Codex, Cursor, and 41+ tools.

Rapid Development, aided by your fav agent: Claude, Codex

Values ingrained, sovereignty sustained — governance framework for endogenous AI workflows

Prompt Cloud Intent Compression

A self-learning, self-correcting, LLM-powered harness creation and management system with FAISS-powered RAG, sandboxed execution, and autonomous improvement modes. Powered by Ollama and offline models.

An AI-native, local-first learning harness for deep reading, synthesis, and research workflows.