Launching today
Cognitum Metaharness
AI meta-harness: npx/MCP, memory, learning & signed releases
3 followers
AI meta-harness: npx/MCP, memory, learning & signed releases
3 followers
🛠️ The meta-harness for AI agents — scaffold your own focused, branded agent harness with its own npx CLI, MCP server, memory, learning loop, and witness-signed releases. Works with Claude Code, Co...
Hey Product Hunt! 👋
Meet MetaHarness — an open-source toolkit for turning your repository into a custom, branded AI agent harness.
The idea is simple: your agent should understand your project, work within your rules, and ship under your name.
🛠️ Build: Generate a harness with its own CLI, MCP server, project memory, and repository-specific skills.
🛡️ Govern: Set tool permissions and policies, with release verification and witness-signed provenance.
🧬 Evolve: Darwin Mode tests changes to the harness and keeps improvements that pass evaluation and safety gates. The harness evolves while the underlying model stays the same.
🚀 Ship: Customize it, package it, and give your team a shared starting point they can run with one command.
It works with Claude Code, OpenAI Codex, pi.dev, Hermes, OpenClaw, and more.
Try it: MetaHarness Studio
Explore the code: GitHub
Learn more: MetaHarness
What would you build a harness for first? We’d love to hear which workflows and integrations would make it useful for your team.
Your repo. Your rules.
Nick is the man!