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io.github.volsier/memforge-memory

io.github.volsier/memforge-memory·v1.0.1·Search
Quality Score
75
/100

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

§01  Install
Claude Desktop (claude_desktop_config.json)
{
  "mcpServers": {
    "memforge-memory": {
      "command": "npx",
      "args": [
        "-y",
        "@memforgeai/memory-service"
      ],
      "env": {
        "DATABASE_URL": "<database_url>",
        "OPENAI_BASE_URL": "<openai_base_url>",
        "OPENAI_API_KEY": "<your-openai_api_key>",
        "OPENAI_EMBEDDING_MODEL": "<openai_embedding_model>"
      }
    }
  }
}
Cursor (.cursor/mcp.json)
{
  "mcpServers": {
    "memforge-memory": {
      "command": "npx",
      "args": [
        "-y",
        "@memforgeai/memory-service"
      ],
      "env": {
        "DATABASE_URL": "<database_url>",
        "OPENAI_BASE_URL": "<openai_base_url>",
        "OPENAI_API_KEY": "<your-openai_api_key>",
        "OPENAI_EMBEDDING_MODEL": "<openai_embedding_model>"
      }
    }
  }
}
Cline (cline_mcp_settings.json)
npx -y @memforgeai/memory-service
§02  Environment variables
DATABASE_URL
required

PostgreSQL connection string

OPENAI_BASE_URL
required

Embedding API base URL (OpenAI-compatible)

OPENAI_API_KEY
requiredsecret

Embedding API key

OPENAI_EMBEDDING_MODEL
required

Embedding model name (e.g. BAAI/bge-m3)

§03  MCP Quality Score  ·  methodology
freshness
25
completeness
5
installability
25
documentation
10
stability
10
§04  Alternatives in Search