# Mem0 (Autonomous Memory)

> Use this tool when you need to enable AI assistants to store and retrieve information across conversations, providing persistent user context and personalized interactions. It solves problems of information loss and lack of continuity in AI conversations, allowing for more natural and human-like interactions. The mem0 server takes in conversation data and outputs relevant memories and user information, making it ideal for applications requiring long-term memory capabilities, such as chatbots and virtual assistants.

Canonical page: https://skillsregistry.net/skills/pinkpixel-mem0-autonomous-memory  
JSON: https://api.skillsregistry.net/v1/skills/pinkpixel-mem0-autonomous-memory

## Description

The mem0 MCP server provides a memory capabilities layer for AI assistants, enabling them to store, retrieve, and utilize information across conversations. Built with FastAPI and the mem0ai library, it features an autonomous memory system that automatically extracts user information from conversations without requiring explicit commands, categorizes it appropriately, and injects relevant memories into future interactions. The implementation supports multiple LLM providers including OpenAI, Anthropic, Google, and Ollama, with configurable embedding models for semantic search. This server is particularly valuable for applications requiring persistent user context, personalized interactions, and long-term memory capabilities that enhance the natural flow of AI conversations.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/pinkpixel-mem0-autonomous-memory)
- **Repository:** <https://github.com/pinkpixel-dev/mem0-mcp>

## 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": "pinkpixel-mem0-autonomous-memory"
    }
  }
}
```

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

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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