Memforge Memory

io.github.volsier/memforge-memory · v1.0.1

Team engineering memory for AI coding assistants. 47 MCP tools, pgvector semantic search.

Set it up

Connect Runs on your machine

Terminal

claude mcp add memforge-memory -e DATABASE_URL=<DATABASE_URL> -e OPENAI_BASE_URL=<OPENAI_BASE_URL> -e OPENAI_API_KEY=<OPENAI_API_KEY> -e OPENAI_EMBEDDING_MODEL=<OPENAI_EMBEDDING_MODEL> -- npx -y @memforgeai/[email protected]

claude_desktop_config.json

{
  "mcpServers": {
    "memforge-memory": {
      "command": "npx",
      "args": [
        "-y",
        "@memforgeai/[email protected]"
      ],
      "env": {
        "DATABASE_URL": "<DATABASE_URL>",
        "OPENAI_BASE_URL": "<OPENAI_BASE_URL>",
        "OPENAI_API_KEY": "<OPENAI_API_KEY>",
        "OPENAI_EMBEDDING_MODEL": "<OPENAI_EMBEDDING_MODEL>"
      }
    }
  }
}

~/.cursor/mcp.json

{
  "mcpServers": {
    "memforge-memory": {
      "command": "npx",
      "args": [
        "-y",
        "@memforgeai/[email protected]"
      ],
      "env": {
        "DATABASE_URL": "<DATABASE_URL>",
        "OPENAI_BASE_URL": "<OPENAI_BASE_URL>",
        "OPENAI_API_KEY": "<OPENAI_API_KEY>",
        "OPENAI_EMBEDDING_MODEL": "<OPENAI_EMBEDDING_MODEL>"
      }
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "memforge-memory": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@memforgeai/[email protected]"
      ],
      "env": {
        "DATABASE_URL": "<DATABASE_URL>",
        "OPENAI_BASE_URL": "<OPENAI_BASE_URL>",
        "OPENAI_API_KEY": "<OPENAI_API_KEY>",
        "OPENAI_EMBEDDING_MODEL": "<OPENAI_EMBEDDING_MODEL>"
      }
    }
  }
}

Replace the values in angle brackets with your own. Keys stay on your machine; we never see them.

Tools

This server runs locally, so its tools are listed by your MCP client once it starts.

Environment variables

Name	Description
`DATABASE_URL` Required	PostgreSQL connection string
`OPENAI_BASE_URL` Required	Embedding API base URL (OpenAI-compatible)
`OPENAI_API_KEY` Required, secret	Embedding API key
`OPENAI_EMBEDDING_MODEL` Required	Embedding model name (e.g. BAAI/bge-m3)

Details

Package	`@memforgeai/[email protected]` (NPM, stdio)
First published	23 Apr 2026
Last updated	23 Apr 2026
Registry name	`io.github.volsier/memforge-memory`

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Live status

Local install

Installed and run on your own machine, so there is no public endpoint to check.

Pair it with live search

Agents that use Memforge Memory often also need current facts. NestDaddy MCP gives your AI today's internet: web search, real-time breaking news and full page reading in one connector.

See NestDaddy MCP

For maintainers

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