# Mem0 Memory Server

> Use this tool when you need to store and retrieve contextual information to inform decision-making in AI interactions. The Mem0 Memory Server solves problems of context loss and enables agents to make informed decisions based on past user interactions, accepting user data as input and outputting relevance-scored memories. It is ideal for use in conversational AI and chatbot applications where maintaining context is crucial.

Canonical page: https://skillsregistry.net/skills/big-omega-mem0-mcp  
JSON: https://api.skillsregistry.net/v1/skills/big-omega-mem0-mcp

## Description

Store and search user-specific memories to maintain context and enable informed decision-making based on past interactions. Seamlessly integrate memory capabilities into your AI tools with a simple and intuitive API. Enhance your agents with relevance-scored memory retrieval for improved contextual awareness.

## 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:** search
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/big-omega/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": "big-omega-mem0-mcp"
    }
  }
}
```

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