# Memanto (MCP server)

> Memanto is an MCP server that adds tools to AI assistants such as Claude Desktop, Claude Code and Cursor. MCP server for Memanto - persistent semantic memory for any MCP-compatible agent. It has 2,318 GitHub stars, is released under the MIT license and runs locally with uvx memanto-mcp.

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.

## Key facts

| Fact | Value |
|---|---|
| Repository | https://github.com/moorcheh-ai/memanto |
| GitHub stars | 2,318 |
| License | MIT |
| Language | Python |
| Transport | stdio |
| Packages | pypi: memanto-mcp |
| Remote URL | none |
| Needs API key | no |
| Official | no |
| Works with | Claude Desktop, Claude Code, Cursor, VS Code |
| Category | Other |
| Latest release | v0.2.26 (Oct 2, 2026) |
| Last commit | Oct 6, 2026 |
| MCP registry name | io.github.moorcheh-ai/memanto |

## Install

### Claude Desktop (claude_desktop_config.json)

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

Settings > Developer > Edit Config. macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\. Restart Claude Desktop afterwards.

### Claude Code

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

### Cursor (.cursor/mcp.json)

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

Project file; use ~/.cursor/mcp.json to enable it in every project.

### VS Code (.vscode/mcp.json)

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

Config formats checked against the official docs on 2026-10-07.

## Tools

- `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.

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---

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