An agent's memory is really an information retrieval problem. That's the argument of this perspective paper by Qingyao Ai of Tsinghua University. Title: Agentic Memory Management Is the Next Frontier of Information Retrieval URL: 🧠 Overview IR grew up assuming a human reads the results. Agents instead use retrieved information as their own internal state. The paper organizes this as agentic memory management (AMM). ❓ Problem Agent-memory research is ad hoc, borrows inconsistent terms from human psychology, and relies on weak evaluation. 🧩 Proposed framework ・constants: facts (matched by content) ・functions: skills and workflows (matched by applicability) ・operators: preferences and style (matched by scope) Five operations (add, update, delete, search, use) are grouped into learning, forgetting and utilization. Systems such as RAG, MemGPT and Mem0 are classified, with reusable skills and principled forgetting found to be underexplored. 🔭 Research agenda ・Benchmarks covering all three layers and forgetting ・The "observability inversion": diagnosing with downstream task outcomes ・Human control and security, such as memory poisoning There are no experiments; it offers a framework and conjectures. #AgentMemory# #InformationRetrieval#