Ultimate Guide to Crafting AI Agents with Persistent Memory
Learn to design and build AI agents with persistent, context-aware memory using both from-scratch implementations and frameworks like LangMem, Mem0, and Supabase, progressing from fundamentals to real-world projects such as customer support and health coach agents.
What you'll learn
- Understand why memory is critical for AI agents and how it shapes user experience
- Build memory-enabled AI agents from scratch without external frameworks
- Use frameworks like LangMem, Mem0, and Supabase to implement persistent memory
- Develop real-world agents such as customer support and health coach assistants with adaptive behavior
Skills you'll gain
- Build AI agents that can store and recall information dynamically
- Master frameworks and libraries like LangMem and Mem0 to enhance agent memory capabilities
- Implement persistent memory strategies to create adaptive AI agents for real-world applications
- Explore advanced concepts like background memory updates and cognitive language agents
- Design and implement AI agents with memory using frameworks such as LangMem, Mem0, and Supabase
Prerequisites
- • Basic programming knowledge
- • Basic AI knowledge
- • Familiarity with Python for hands-on development
Who this course is for
- → AI enthusiasts with basic programming and AI knowledge
- → Learners familiar with Python who want hands-on AI agent development
- → People interested in building customer support, health coach, or other adaptive AI agents
Provider
Coursera
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