What problem does it solve? AI chatbots and agents forget users between sessions, forcing repetitive re-explanation and blocking personalization. This Skill guides the integration of Mem0's managed memory layer so applications can store, search, and manage long-term user memories via API. ## Core Features & Use Cases - Memory CRUD Operations: Add, search, update, delete, and batch-manage memories scoped by user, agent, app, or session using Python or TypeScript SDKs. - Framework Integrations: Ready-made patterns for LangChain, CrewAI, OpenAI Agents SDK, LangGraph, LlamaIndex, AutoGen, and Pipecat voice pipelines. - Platform Features: Hybrid semantic + BM25 retrieval, entity linking, custom categories, webhooks, memory export, and multimodal input support. - Use Case: A support chatbot retrieves a customer's past preferences with client.search(), injects them into the LLM prompt, then stores the new conversation with client.add() for future sessions. ## Quick Start Ask the assistant to set up Mem0 in your project and add persistent memory to your chatbot using the MemoryClient SDK.