AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
Why it matters
Lays out the tradeoffs between vector, graph, and hybrid memory backends for AI agents and argues memory must be actively consolidated and pruned over time, not just accumulated, a practical framework for anyone building agents that need continuity across sessions.
postAgent Memory Architecture GuideAkshay 🚀
articleFilesystem-Based Memory for LLM Agents: Organization, Evolution, and SustainabilitySizhe Zhou, Sheldon Yu, Hui Wei, Junda Wu, Siru Ouyang, Yizhu Jiao, Shijia Pan, Julian McAuley, Yu Zhang, Tong Yu, Jiawei Han
postAI Memory Management PhilosophyMatt Van Horn