# Mem0 Memory Server

> Use this tool when you need to enhance context retention and recall in AI agents by storing, searching, and deleting persistent memories across sessions. It solves problems of knowledge loss and inconsistency by providing scalable and reliable memory management through seamless integration with cloud or self-hosted storage. Ideal for optimizing LLM applications, it offers advanced filtering, semantic search, and flexible storage modes with inputs of memories and outputs of retrieved information.

Canonical page: https://skillsregistry.net/skills/pinkpixel-dev-mem0-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/pinkpixel-dev-mem0-mcp-server

## Description

Enable AI agents to store, search, and delete persistent memories across sessions to enhance context retention and recall. Integrate seamlessly with Mem0.ai's cloud or self-hosted Supabase storage for scalable and reliable memory management. Optimize your LLM applications with advanced filtering, semantic search, and flexible storage modes tailored to your needs.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/pinkpixel-dev/mem0-mcp-server)

## 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-dev-mem0-mcp-server"
    }
  }
}
```

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