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io.github.NeerajG03/vector-memory

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Publisher-provided description

Semantic document memory using Redis vector store. Save and recall files with natural language.

Summary by lookupd

Lets an agent store documents and recall them through natural language queries using semantic similarity search.

Install

Claude Code, pypi package (stdio)

claude mcp add vector-memory -- uvx mcp-server-vector-memory

Codex, pypi package (stdio)

codex mcp add vector-memory -- uvx mcp-server-vector-memory

Cursor, pypi package (stdio) → .cursor/mcp.json

{
  "mcpServers": {
    "vector-memory": {
      "command": "uvx",
      "args": [
        "mcp-server-vector-memory"
      ]
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

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