# Mem0

> Use this tool when you need to integrate persistent memory storage with semantic search capabilities into AI assistants, enabling them to recall user preferences and conversation history across conversations. It solves problems of information retention and retrieval, providing tools for creating, searching, and managing memory streams. The server accepts user and agent IDs as input and outputs searched memories and stream data, making it ideal for use cases requiring contextual information recall without interface switching.

Canonical page: https://skillsregistry.net/skills/sadiuysal-mem0  
JSON: https://api.skillsregistry.net/v1/skills/sadiuysal-mem0

## Description

mem0-mcp-server-ts is a TypeScript implementation of the Model Context Protocol server that integrates with Mem0's memory storage and semantic search capabilities. The server provides tools for creating memory streams, appending content, searching memories using semantic queries, reading from streams, and deleting streams. It maintains an in-memory representation of streams while persisting data to Mem0's backend when user and agent IDs are provided. This implementation is particularly valuable for AI assistants that need persistent memory storage with semantic search capabilities across conversations, enabling them to recall user preferences, conversation history, and other contextual information without switching interfaces.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sadiuysal-mem0)
- **Repository:** <https://github.com/sadiuysal/mem0-mcp-server-ts>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sadiuysal-mem0"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sadiuysal-mem0` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sadiuysal-mem0/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt