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.
Still active enough to matter. Good candidate for a fast stack test instead of a long evaluation loop.
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 85/100. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
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).
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: July 17, 2026
Repository state: Not marked archived
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