The meta-harness for AI agents — scaffold your own focused, branded agent harness with its own npx CLI, MCP serve...
Copy the install, test the workflow, then decide if it earns a permanent slot.
The signal is softer here. Treat it like a pattern source unless it solves a very specific gap.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health unknown. no security policy. 0 open issues make this testable, but not something to trust blind.
AI Agent
Multiple
Model
Claude
Fastest way to find out if agent-harness-generator belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
claude mcp add agent-harness-generator -- npx agent-harness-generatorRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove agent-harness-generatorNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ agent-harness-generator ← registers here
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, Codex, pi.dev, Hermes, OpenClaw, and RVM (hardware-isolated sandbox).