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.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
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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