Building AI Agents Part 2B: Memory Systems That Make AI Agents Smarter Over Time
Towards AI
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Generative AI
AI Research
How short-term memory, long-term memory, vector recall, and user context help agents learn, adapt, and personalize decisions In Part 1, we built the foundation of an AI agent: defining purpose, designing prompts, and selecting the right model. Those decisions determine what your agent should think. In Part 2A, we explored tools - the APIs, databases, enterprise systems, and workflows that allow an agent to take real-world action. Those capabilities determine what your agent can do. But even intelligent models with powerful tools can still fail.