mem0: AI Memory Layer
Get universal memory for AI agents with mem0, for founders building AI-powered apps, backed by 59k+ GitHub stars
intermediate⏱ 30 minutes💵 Free (self-hosted)
59,398 stars6,863 forksPythonQuality 9/10Updated 6/25/2026100% free · open source What it is
Builds a universal memory layer for AI agents, giving them context and recall.
What you can make with it
Automations like a personal assistant that remembers your schedule and tasks.
How it helps
With a universal memory layer, your AI agent can recall previously learned knowledge and apply it to new situations.
Real use case example
"A founder building a mental health chatbot uses mem0 to create a memory layer that recalls patient conversations, diagnoses, and treatment plans."
If you're new
Choose this when you're just starting to learn about AI agents and want a simple way to build memory and context.
If you're senior
Reach for this when you need to create complex AI agents with long-term memory and recall.
Common confusion cleared up
Don't confuse this with traditional AI model storage – mem0 creates an AI agent's memory and context.
Best inside these AI tools
Claude DesktopClaude CodeGeminiGemini Code Assist
Pairs with
Claude DesktopClaude CodeClaude APIGemini
Why we list it on WorkflowStacks: mem0 is a widely-used, open-source library that simplifies the development of advanced AI agents.
Mem0 provides a universal memory layer for AI agents, enabling them to store and retrieve information in a flexible and scalable way
- •When building AI agents that need to retain knowledge over time
- •When integrating multiple AI models that require shared memory
- •When developing conversational AI that requires context persistence
- 1Import the mem0 library in your Python script with `import mem0`
- 2Create a new mem0 instance with `mem = mem0.Memory()`
- 3Store a value in memory using `mem.store(key='example_key', value='example_value')`
- 4Retrieve a value from memory using `mem.retrieve(key='example_key')`
- 5Configure mem0 using the `mem0.yaml` file for advanced settings
Ready-to-paste prompt mem.store(key='user_name', value='John Doe'); mem.retrieve(key='user_name')
Heads up: Mem0 requires Python 3.8 or later to run, so ensure your environment meets this requirement before installation
Saves to your device
Topics
agents
ai
ai-agents
application
chatbots
chatgpt
genai
llm
long-term-memory
memory
memory-management
python
rag
state-management
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