LLM-Agents-Ecosystem-Handbook

by oxbshw · Python · ★ 514

One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.

#ai#ai-agent#ai-agents#fine-tuning#finetuning-llms#freamework#llm#llmops#local-development#mcp-server#memory#rag#rag-chatbot#voice-agent

Install

pip install git+https://github.com/oxbshw/LLM-Agents-Ecosystem-Handbook.git

Claude Desktop config

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "llm-agents-ecosystem-handbook": {
      "command": "uvx",
      "args": [
        "git+https://github.com/oxbshw/LLM-Agents-Ecosystem-Handbook.git"
      ]
    }
  }
}

From the README

A unified handbook for building, deploying and understanding LLM agents and the wider ecosystem A polished, curated collection of **Large Language Model (LLM) agents**, tutorials and ecosystem insights. This handbook highlights projects that push the boundaries of generative AI, multi-agent collaboration, retrieval-augmented generation (RAG), voice and game agents, and more. It goes beyond simple link aggregation, aiming to be a one-stop reference for building, deploying, and understanding LLM applications across the entire stack. > **Tip:** If you enjoy this list, please consider starring t…

Read full README on GitHub →

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