Memanto

{
  "mcpServers": {
    "memanto": {
      "command": "uvx",
      "args": [
        "memanto-mcp"
      ]
    }
  }
}

claude mcp add --transport stdio memanto -- uvx memanto-mcp

{
  "mcpServers": {
    "memanto": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "memanto-mcp"
      ]
    }
  }
}

{
  "servers": {
    "memanto": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "memanto-mcp"
      ]
    }
  }
}

Config formats checked against the official docs on Oct 7, 2026: modelcontextprotocol.io (opens in a new tab), code.claude.com (opens in a new tab), cursor.com (opens in a new tab), code.visualstudio.com (opens in a new tab).

• remember

  Persist a single new fact/preference/decision/goal/instruction.

• batch_remember

  Persist up to 100 memories in one call (e.g. extracted from a document).

• recall

  Semantic search — always check here before asking the user to repeat stable info.

• recall_recent

  "What did we just decide?" — newest-first, no query needed.

• recall_as_of

  Point-in-time recall — "what did we know on 2025-11-01?"

• recall_changed_since

  Differential — "what's new since I last checked?"

• answer

  RAG: grounded LLM answer synthesized over the agent's memories.

• create_agent

  Create a new memory namespace.

• list_agents

  List every agent the API key can see.

• get_agent

  Look up an agent's metadata.

• delete_agent

  Remove an agent's local metadata.

Persistent semantic memory for any MCP-compatible agent. This package exposes Memanto's memory primitives — remember, recall, answer, and friends — as Model Context Protocol (MCP) tools so any MCP client (Claude Desktop, Cursor, Windsurf, Cline, Continue, Goose, custom agents, …) can plug into long-term memory in a single config line.

• ai-agents
• memory
• moorcheh
• memanto
• agent-memory
• long-term-memory
• semantic-memory
• stateful-ai
• ai-memory
• ai-memory-system