---
type: entity
subtype: tool
title: "Mem0"
description: "Open-source Python library for building per-user long-term memory for AI agents via memory extraction, vector storage, and retrieval; the core tool of the video."
resource: "https://github.com/mem0ai/mem0"
tags: [memory, long-term-memory, open-source, python]
videos: [the-only-ai-tech-stack-you-need-in-2026, learn-90-of-building-ai-agents-in-30-minutes, the-official-archon-guide-10x-your-ai-coding-workflow, introducing-archon-the-revolutionary-operating-system-for-ai-coding, why-is-everyone-missing-this-with-ai-agents-memory-tools-that-scale, give-me-28-minutes-and-ill-completely-change-the-way-you-build-ai-agents, i-built-the-ultimate-rag-mcp-server-for-ai-coding-better-than-context7, the-ultimate-guide-to-building-your-own-mcp-servers-free-template, build-ai-agents-that-evolve-over-time]
created: 2026-07-21
updated: 2026-07-21
---

# Mem0

Mem0 (styled "Mem Zero") is the open-source Python library Cole reaches for whenever an agent needs to remember individual users across conversations. He introduces it as "self-learning agents using an open-source Python library called Mem Zero which is simple to use and built for exactly what we're trying to do building up knowledge, aka memories about individual users" - ["Build AI Agents that EVOLVE Over Time"](../../sources/build-ai-agents-that-evolve-over-time.md) [0:01:09]. It is the concrete realization of long-term [Memory Systems](../../concepts/memory-systems.md): rather than hand-rolling extraction and storage, Mem0 gives you two primitives on top of a vector database. "The core two functionalities for me zero, which you can integrate with any agent framework by the way, is adding memories and then searching for them" [0:22:03].

## How Cole uses it

Mem0 shows up as Cole's default long-term-memory layer across his agent builds. He frames it against the security-tooling analogy: "There are tools that you can use just like with security to help us with long-term memory, and mem is one of those. Mem is a completely open-source long-term memory agentic framework" - ["Learn 90% of Building AI Agents in 30 Minutes"](../../sources/learn-90-of-building-ai-agents-in-30-minutes.md) [0:21:53], praising how little code it takes to wire in: "That's what Memzero offers us. And it's so easy to include in our Python code" [0:23:11].

Two things make it his pick. First, storage flexibility: "I love Mem Zero because it integrates with really any database that I want. So I can use Mem directly with PG Vector" - ["The ONLY AI Tech Stack You Need in 2026"](../../sources/the-only-ai-tech-stack-you-need-in-2026.md) [0:14:34], and its `add` function can quietly build a graph as well: "when you add memories to the vector database, it itself is a graph" - ["Give Me 28 Minutes..."](../../sources/give-me-28-minutes-and-ill-completely-change-the-way-you-build-ai-agents.md) [0:10:18]. Second, deployment optionality: in his RAG MCP server he "set it up in a way where you can leverage both the cloud version of me zero and the self-hosted version and then manage that through environment variables" - ["I Built the Ultimate RAG MCP Server..."](../../sources/i-built-the-ultimate-rag-mcp-server-for-ai-coding-better-than-context7.md) [0:10:39].

Cole is not uncritical. When he built his own [MCP](../../concepts/mcp.md) server around Mem0, he noted the vendor's own release fell short: "Mem also did actually release their own MCP server... you can clearly see that they didn't quite understand how MCP really works. It only supports one transport" - ["The ULTIMATE Guide to Building Your Own MCP Servers"](../../sources/the-ultimate-guide-to-building-your-own-mcp-servers-free-template.md) [0:09:12]. Its docs also land in his [Knowledge Bases](../../concepts/knowledge-bases.md) for coding assistants alongside Pydantic AI and LangGraph.

## Realizes

- [Memory Systems](../../concepts/memory-systems.md) - Giving agents durable short- and long-term memory so conversations, user context, and facts persist across sessions and users.

## Works with

- [Pydantic AI](./pydantic-ai.md) - Cole's framework for the individual agents, structured around three parts: dependencies, the agent definition, and tools.
- [Supabase](./supabase.md) - A single platform providing Postgres for scalable chat memory plus the pgvector store for RAG embeddings, recommended over in-memory alternatives.
- [MCP](../../concepts/mcp.md) - An open protocol for packaging tools, data, and RAG capabilities as servers that any AI coding assistant or agent can connect to and call with a standard interface.

## Contrasts with

- [Graphiti](./graphiti.md) - A knowledge-graph tool Cole names as a candidate for a future agentic-RAG-with-knowledge-graphs strategy.

## Related

- [Redis Iris](./redis-iris.md) - A preview Redis product that wraps the database with a Context Retriever (auto-generated MCP tools over defined entities/schema) and Agent Memory (short/long-term with background promotion to vector-indexed memory), demoed as the production-agent substitute for markdown second brains.
- [Knowledge Bases](../../concepts/knowledge-bases.md) - Curated bodies of knowledge an agent can retrieve from, distinct from raw model weights, that ground responses in trusted source material.
- [Retrieval-Augmented Generation (RAG)](../../concepts/rag.md) - Grounding an LLM's answers by retrieving relevant documents from an external knowledge base and injecting them into the prompt at query time.
- [Knowledge Graphs](../../concepts/knowledge-graphs.md) - Structuring knowledge as entities and relationships (often temporal) so agents can traverse connections a vector store can't express.
- [Human in the Loop](../../concepts/human-in-the-loop.md) - Keeping a human as the approver and steerer of agentic work rather than fully automating, so AI augments engineers instead of replacing them.
- [Planning with AI](../../concepts/planning-with-ai.md) - Using the AI to produce a detailed plan before implementation so execution follows a reviewed blueprint instead of improvising.

## Sources

- [Build AI Agents that EVOLVE Over Time](../../sources/build-ai-agents-that-evolve-over-time.md) - "[0:01:09] self-learning agents using an open-source Python library called Mem Zero which is simple to use and built for exactly what we're trying to do building up knowledge, aka memories about individual users"
- [Learn 90% of Building AI Agents in 30 Minutes](../../sources/learn-90-of-building-ai-agents-in-30-minutes.md) - "[0:21:53] There are tools that you can use just like with security to help us with long-term memory, and mem is one of those. Mem is a completely open-source long-term memory agentic framework"
- [The ONLY AI Tech Stack You Need in 2026](../../sources/the-only-ai-tech-stack-you-need-in-2026.md) - "[0:14:34] I love Mem Zero because it integrates with really any database that I want. So I can use Mem directly with PG Vector"
- [Give Me 28 Minutes and I'll Completely Change the Way You Build AI Agents](../../sources/give-me-28-minutes-and-ill-completely-change-the-way-you-build-ai-agents.md) - "[0:10:18] Usually you'll want to implement something like the mem zero library for long-term memory. And you can see with their add function when you add memories to the vector database, it itself is a graph."
- [I Built the Ultimate RAG MCP Server for AI Coding (Better than Context7)](../../sources/i-built-the-ultimate-rag-mcp-server-for-ai-coding-better-than-context7.md) - "[0:10:39] It set it up in a way where you can leverage both the cloud version of me zero and the self-hosted version and then manage that through environment variables."
- [The ULTIMATE Guide to Building Your Own MCP Servers (Free Template)](../../sources/the-ultimate-guide-to-building-your-own-mcp-servers-free-template.md) - "[0:09:12] Mem also did actually release their own MCP server... you can clearly see that they didn't quite understand how MCP really works. It only supports one transport."
- [Why is Everyone Missing This with AI Agents?! (Memory + Tools that Scale)](../../sources/why-is-everyone-missing-this-with-ai-agents-memory-tools-that-scale.md) - "[0:23:27] You could also integrate with me zero, which is a long-term memory solution that's open source and I've covered on my channel a lot."
- [The OFFICIAL Archon Guide - 10x Your AI Coding Workflow](../../sources/the-official-archon-guide-10x-your-ai-coding-workflow.md) - "[0:16:16] mem zero for example, which is a tool for agentic memory. They have a sitemap. And so I can do just/sitemap.xml."
- [Introducing Archon - The Revolutionary Operating System for AI Coding](../../sources/introducing-archon-the-revolutionary-operating-system-for-ai-coding.md) - "[0:07:30] I've got the documentation for Pydantic AI, mezzero, LangGraph, and then Claude Code."
