# mem0 **Repository Path**: zixing1/mem0 ## Basic Information - **Project Name**: mem0 - **Description**: https://github.com/mem0ai/mem0 - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-03-31 - **Last Updated**: 2025-03-31 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README
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# Introduction [Mem0](https://mem0.ai) (pronounced as "mem-zero") enhances AI assistants and agents with an intelligent memory layer, enabling personalized AI interactions. Mem0 remembers user preferences, adapts to individual needs, and continuously improves over time, making it ideal for customer support chatbots, AI assistants, and autonomous systems. ### Features & Use Cases Core Capabilities: - **Multi-Level Memory**: User, Session, and AI Agent memory retention with adaptive personalization - **Developer-Friendly**: Simple API integration, cross-platform consistency, and hassle-free managed service Applications: - **AI Assistants**: Seamless conversations with context and personalization - **Learning & Support**: Tailored content recommendations and context-aware customer assistance - **Healthcare & Companions**: Patient history tracking and deeper relationship building - **Productivity & Gaming**: Streamlined workflows and adaptive environments based on user behavior ## Get Started Get started quickly with [Mem0 Platform](https://app.mem0.ai) - our fully managed solution that provides automatic updates, advanced analytics, enterprise security, and dedicated support. [Create a free account](https://app.mem0.ai) to begin. For complete control, you can self-host Mem0 using our open-source package. See the [Quickstart guide](#quickstart) below to set up your own instance. ## Quickstart Guide Install the Mem0 package via pip: ```bash pip install mem0ai ``` Install the Mem0 package via npm: ```bash npm install mem0ai ``` ### Basic Usage Mem0 requires an LLM to function, with `gpt-4o-mini` from OpenAI as the default. However, it supports a variety of LLMs; for details, refer to our [Supported LLMs documentation](https://docs.mem0.ai/llms). First step is to instantiate the memory: ```python from openai import OpenAI from mem0 import Memory openai_client = OpenAI() memory = Memory() def chat_with_memories(message: str, user_id: str = "default_user") -> str: # Retrieve relevant memories relevant_memories = memory.search(query=message, user_id=user_id, limit=3) memories_str = "\n".join(f"- {entry['memory']}" for entry in relevant_memories["results"]) # Generate Assistant response system_prompt = f"You are a helpful AI. Answer the question based on query and memories.\nUser Memories:\n{memories_str}" messages = [{"role": "system", "content": system_prompt}, {"role": "user", "content": message}] response = openai_client.chat.completions.create(model="gpt-4o-mini", messages=messages) assistant_response = response.choices[0].message.content # Create new memories from the conversation messages.append({"role": "assistant", "content": assistant_response}) memory.add(messages, user_id=user_id) return assistant_response def main(): print("Chat with AI (type 'exit' to quit)") while True: user_input = input("You: ").strip() if user_input.lower() == 'exit': print("Goodbye!") break print(f"AI: {chat_with_memories(user_input)}") if __name__ == "__main__": main() ``` See the example for [Node.js](https://docs.mem0.ai/examples/ai_companion_js). For more advanced usage and API documentation, visit our [documentation](https://docs.mem0.ai). > [!TIP] > For a hassle-free experience, try our [hosted platform](https://app.mem0.ai) with automatic updates and enterprise features. ## Demos - Mem0 - ChatGPT with Memory: A personalized AI chat app powered by Mem0 that remembers your preferences, facts, and memories. [Mem0 - ChatGPT with Memory](https://github.com/user-attachments/assets/cebc4f8e-bdb9-4837-868d-13c5ab7bb433) Try live [demo](https://mem0.dev/demo/)