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Telys — on-device memory

MCP server · by thyn-ai

Knowledge & Memory Python v0.1.9

Private on-device memory & retrieval for AI assistants — offline vector + lexical search.

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Install

Run one of the commands below, then add the client config underneath.

Pythonuvx telys

Client configuration

Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.

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

About this server

Telys — on-device memory is listed in the Knowledge & Memory category of the MCPNav directory. It is distributed as Python and can be loaded by any client that speaks the Model Context Protocol.

Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.

Frequently asked questions

What is the Telys — on-device memory MCP server?

Telys — on-device memory is an MCP server by thyn-ai. Private on-device memory & retrieval for AI assistants — offline vector + lexical search.

How do I install Telys — on-device memory?

Install it with: uvx telys. Then add the JSON config to your client's MCP settings and restart the client.

Is Telys — on-device memory free to use?

The MCP server itself is free to install. The source is public on https://github.com/thyn-ai/telys-sdk. Any third-party API it calls (such as a search or maps API) may require its own key and billing.

Which clients support Telys — on-device memory?

Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.