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io.github.jyswee/agenticmemory

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Publisher-provided description

Persistent memory for AI agents — history, context, semantic search, queues. 46 tools, stdio/SSE.

Summary by lookupd

Lets agents store and recall conversation history, key-value context, knowledge-graph entities, queues and scratchpads, with semantic…

Install

Claude Code, remote (sse)

claude mcp add --transport sse agenticmemory https://mcp.agenticmemory.ai/sse

Claude Code, npm package (stdio)

claude mcp add agenticmemory -- npx -y agmry

Codex, remote (sse)

codex mcp add agenticmemory --url https://mcp.agenticmemory.ai/sse

Codex, npm package (stdio)

codex mcp add agenticmemory -- npx -y agmry

Cursor, remote (sse) → .cursor/mcp.json

{
  "mcpServers": {
    "agenticmemory": {
      "type": "sse",
      "url": "https://mcp.agenticmemory.ai/sse"
    }
  }
}

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

{
  "mcpServers": {
    "agenticmemory": {
      "command": "npx",
      "args": [
        "-y",
        "agmry"
      ]
    }
  }
}

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

Tools (showing 30 of 46)

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