a-mem-mcp

Package (pypi 0.2.1)

uvx a-mem

Or add to your MCP client config:

{
  "mcpServers": {
    "a-mem-mcp": {
      "command": "uvx",
      "args": [
        "a-mem"
      ],
      "env": {
        "OPENAI_API_KEY": "<YOUR_VALUE>"
      }
    }
  }
}

• LLM_BACKEND — LLM backend to use (openai, ollama, sglang, or openrouter)
• LLM_MODEL — LLM model name (e.g., gpt-4o-mini, llama2, etc.)
• OPENAI_API_KEY required secret — OpenAI API key (required if LLM_BACKEND=openai)
• EMBEDDING_MODEL — Sentence transformer model for embeddings
• CHROMA_DB_PATH — ChromaDB storage directory path