{"repo":"firstbatchxyz/mem-agent-mcp","free":true,"listed":false,"github":"https://github.com/firstbatchxyz/mem-agent-mcp","clone":"git clone https://github.com/firstbatchxyz/mem-agent-mcp.git","description":"mem-agent mcp server","language":"Python","stars":627,"topics":[],"license":"Apache-2.0","category":"mcp-servers","readme_excerpt":"mem-agent-mcp This is an MCP server for our model driaforall/mem-agent, which can be connected to apps like Claude Desktop or Lm Studio to interact with an obsidian-like memory system. Supported Platforms - macOS (Metal backend) - Linux (with GPU, vLLM backend) Platform note: aarch64 (ARM64) Linux - On ARM64 Linux, vLLM is not installed by default to avoid build failures (no stable wheels and source builds can fail). - Installation will succeed without vLLM; you can: - Use the default OpenRouter/OpenAI path (no local vLLM needed), or - Run vLLM on a compatible x86 64 host and point the client at it (see agent/model.py create vllm client). Running Instructions Using a LiteLLM proxy (OpenAI-compatible) - If you have a LiteLLM proxy running locally (e.g., on port 4000), configure the client via .env: - Verify connectivity: - Then use either of these: - CLI: make chat-cli - MCP over STDIO: make serve-mcp - MCP over HTTP: make serve-mcp-http Note: On ARM64 Linux, this is the recommended setup instead of vLLM. 1. make check-uv (if you have uv installed, skip this step). 2. make install : Installs LmStudio on MacOS. 3. make setup : This will open a file selector and ask you to select the directory where you want to store the memory. 4. make run-agent : If you're on macOS, this will prompt you to select the precision of the model you want to use. 4-bit is very usable as tested, and higher precision models are more reliable but slower. 5. make generate-mcp-json : Generates the mcp.jso","default_branch":null,"files":null,"tree":[],"storefront":"/r/firstbatchxyz","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/firstbatchxyz/mem-agent-mcp/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}