Mnemo Mcp

Name: Mnemo Mcp
Author: n24q02m

by n24q02mcommunityv2.2.1

Mnemo MCP Server provides persistent AI memory with hybrid search capabilities and embedded synchronization. It allows for efficient memory management and retrieval without requiring API keys.

From the registry: Persistent AI memory with hybrid search (FTS5 + semantic) and cross-machine sync.

GitHub Repository

Install & configure

Prerequisites

required
Install from PyPI
pip install mnemo-mcp
```
$ pip install mnemo-mcp
```
https://pypi.org/project/mnemo-mcp/

Install in your client

Paste into the AI you're chatting with — it will figure out the rest

Please install the `mnemo-mcp` MCP server into my current AI client (that's you).

Required prerequisites (do these first if not already done):
- **Install from PyPI** — pip install mnemo-mcp Run: `pip install mnemo-mcp` (https://pypi.org/project/mnemo-mcp/)

Canonical MCP server config (stdio transport):
- command: `mnemo-mcp`
- args: []

Note: Persistent AI memory with hybrid search, knowledge graph, STM-to-LTM consolidation. Zero config by default with local Qwen3 embeddings.

Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.

Note: Persistent AI memory with hybrid search, knowledge graph, STM-to-LTM consolidation. Zero config by default with local Qwen3 embeddings.