Why an AI Agent Without Memory Is an Expensive Calculator: Building Persistent Memory
The article explains why persistent memory is critical for production AI agents, detailing memory types (short-term, long-term, semantic, episodic, procedural) and practical implementation levels. It recommends starting with pgvector for vector search and storing extracted facts, not raw dialogue, and highlights the importance of separating retrieval and write decisions from the LLM to reduce errors.
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Habr — хаб ИИ31.07 · 18:02
