AI RESEARCH
[D] Why do we keep pretending that AI agent continuity is a prompt engineering problem?
r/MachineLearning
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Every few months someone posts about "long-term memory for LLMs" and the thread fills with retrieval strategies, vector databases, and context window tricks. Good engineering. Wrong level of abstraction. The continuity problem for deployed AI agents is not a retrieval problem. It is an infrastructure problem. Here is the distinction: Retrieval-level continuity: The agent can surface relevant context from past interactions. This is solved well enough with embedding search, hierarchical summaries, and compaction strategies.