How do I install the local memory mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

What credentials does it need?

It reads `OLLAMA_API_URL`, `POSTGRES_HOST` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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Local Memory MCP Server

Ever wanted the ChatGPT memory feature but **across all your LLMs** and stored on **your own hardware**? Ever hate how there's a **limit to how many

Local serverstdioPython

What is the Local Memory MCP Server?

Ever wanted the ChatGPT memory feature but across all your LLMs and stored on your own hardware? Ever hate how there's a limit to how many memories

What you get

🧠 Remembers across sessions - User preferences, project details, conversation history
🎯 Finds relevant context - Semantic search surfaces the right memories at the right time
🏢 Organizes by domain - Separate contexts for work, health, personal life (PostgreSQL)
🔒 Stays private - All data stored locally under your control
⚡ Works immediately - Drop-in compatibility with Claude Desktop and MCP clients

Configuration and credentials

Docker (for containerized deployment) or Python 3.12+ (for local installation) - Ollama with nomic-embed-text model (optional but recommended for enhanced semantic search)

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
store_memory
update_memory
search_memories
summarize_memories

How to install the Local Memory MCP Server

{
  "mcpServers": {
    "localMemoryMCP-SQLite": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-v",
        "/path/to/your/memory-data:/app/data",
        "cunicopia/local-memory-mcp:sqlite"
      ]
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.

Configuration

Docker (for containerized deployment) or Python 3.12+ (for local installation) - Ollama with nomic-embed-text model (optional but recommended for enhanced semantic search)

Example prompts to try

“Use Local Memory MCP to store memory.”
“Use Local Memory MCP to update memory.”
“Use Local Memory MCP to search memories.”

Frequently asked questions

Ever wanted the ChatGPT memory feature but **across all your LLMs** and stored on **your own hardware**? Ever hate how there's a **limit to how many memories** Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.