awesome-harness-engineering

by ai-boost · Python · ★ 672

Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.

#agent-harness#agent-memory#agent-orchestration#ai-agents#awesome-list#context-engineering#harness-engineering#mcp

Install

pip install git+https://github.com/ai-boost/awesome-harness-engineering.git

Claude Desktop config

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "awesome-harness-engineering": {
      "command": "uvx",
      "args": [
        "git+https://github.com/ai-boost/awesome-harness-engineering.git"
      ]
    }
  }
}

From the README

Awesome Harness Engineering Curated resources, patterns, and templates for building reliable AI agent harnesses. Deutsch | English | Español | Français | 日本語 | 한국어 | Português | Русский | 中文 **Harness engineering** is the discipline of designing the scaffolding — context delivery, tool interfaces, planning artifacts, verification loops, memory systems, and sandboxes — that surrounds an AI agent and determines whether it succeeds or fails on real tasks. This list focuses on the *harness*, not the model. Every comp…

Read full README on GitHub →

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