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io.github.swapnanil/vectr

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Publisher-provided title

Vectr

Publisher-provided description

Semantic codebase search + persistent working memory for AI code editors. Local, no API key.

Summary by lookupd

Lets an agent run semantic search over a codebase and store persistent working memory locally without an API key.

Install

Claude Code, pypi package (stdio)

claude mcp add vectr -- uvx vectr

Claude Code, pypi package (stdio)

claude mcp add vectr -- uvx vectr

Codex, pypi package (stdio)

codex mcp add vectr -- uvx vectr

Codex, pypi package (stdio)

codex mcp add vectr -- uvx vectr

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

{
  "mcpServers": {
    "vectr": {
      "command": "uvx",
      "args": [
        "vectr"
      ]
    }
  }
}

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

{
  "mcpServers": {
    "vectr": {
      "command": "uvx",
      "args": [
        "vectr"
      ]
    }
  }
}

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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