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 metaharness 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 metaharness -- npx metaharnessRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove metaharnessNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ metaharness ← 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: No source check recorded
Repository state: Not marked archived
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