# Mem0 (Long-Term Memory)

> Use this tool when you need to equip AI agents with long-term memory capabilities to store, retrieve, and semantically search information across conversations. Mem0 integrates with multiple LLM providers and utilizes PostgreSQL for vector storage, solving problems of persistent memory in applications like personal assistants and knowledge management systems. It provides a robust interface for storing, retrieving, and searching memories, making it ideal for use cases requiring recall of past interactions and information.

Canonical page: https://skillsregistry.net/skills/coleam00-mem0  
JSON: https://api.skillsregistry.net/v1/skills/coleam00-mem0

## Description

MCP-Mem0 is a server implementation that integrates Mem0's long-term memory capabilities with AI agents through the Model Context Protocol. Developed by Cole Medin, it provides three essential memory management tools: storing information with semantic indexing, retrieving all stored memories, and finding relevant memories using semantic search. The server supports multiple LLM providers (OpenAI, OpenRouter, Ollama) and uses PostgreSQL for vector storage, making it particularly valuable for applications requiring persistent memory across conversations, such as personal assistants, knowledge management systems, or any AI agent that needs to recall past interactions and information.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/coleam00-mem0)
- **Repository:** <https://github.com/coleam00/mcp-mem0>

## 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": "coleam00-mem0"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/coleam00-mem0` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/coleam00-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