# Telemem (MCP server)

> Telemem is an MCP server that adds search and knowledge tools to AI assistants such as Claude Desktop, Claude Code and Cursor. Long-term and multimodal memory for AI agents - character-aware, mem0-compatible, fully-local option. It has 493 GitHub stars, is released under the Apache-2.0 license and runs locally with uvx telemem.

TeleMem: Building Long-Term and Multimodal Memory for Agentic AI If you find this project helpful, please give us a ⭐️ on GitHub for the latest update.

## Key facts

| Fact | Value |
|---|---|
| Repository | https://github.com/TeleAI-UAGI/telemem |
| GitHub stars | 493 |
| License | Apache-2.0 |
| Language | Python |
| Transport | stdio |
| Packages | pypi: telemem |
| Remote URL | none |
| Needs API key | yes |
| Official | no |
| Works with | Claude Desktop, Claude Code, Cursor, VS Code |
| Category | AI & search |
| Latest release | v1.10.0 (Aug 15, 2026) |
| Last commit | Oct 5, 2026 |
| MCP registry name | io.github.TeleAI-UAGI/telemem |

## Install

### Claude Desktop (claude_desktop_config.json)

```json
{
  "mcpServers": {
    "telemem": {
      "command": "uvx",
      "args": [
        "telemem"
      ],
      "env": {
        "OPENAI_API_KEY": "your-value"
      }
    }
  }
}
```

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

### Claude Code

```sh
claude mcp add --env OPENAI_API_KEY=your-value --transport stdio telemem -- uvx telemem
```

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

```json
{
  "mcpServers": {
    "telemem": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "telemem"
      ],
      "env": {
        "OPENAI_API_KEY": "your-value"
      }
    }
  }
}
```

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

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

```json
{
  "inputs": [
    {
      "type": "promptString",
      "id": "openai_api_key",
      "description": "OPENAI_API_KEY",
      "password": true
    }
  ],
  "servers": {
    "telemem": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "telemem"
      ],
      "env": {
        "OPENAI_API_KEY": "${input:openai_api_key}"
      }
    }
  }
}
```

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

## Environment variables

- `OPENAI_API_KEY` (secret): API key for the default OpenAI LLM/embedder (not needed with a local TELEMEM_CONFIG)
- `TELEMEM_CONFIG`: Path to a TeleMem YAML/JSON config, e.g. the fully-local Ollama + FAISS setup (config/config.ollama.yaml)
- `TELEMEM_DEFAULT_USER_ID`: Default memory scope when tool calls omit userid/agentid/run_id (default: telemem-mcp)

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