The Core of Agent Memory is Structure
Roger_M_Taylor · x · 2026-07-11
A repost analyzed Agent memory systems:
- Many existing solutions over-pursue "recall," but the real challenge is what to forget and what shouldn't be stored at all.
- A common practice is feeding raw text to an LLM for entity and relation extraction, which often turns knowledge graphs into "expensive vector databases": entity types collapse, and relationships degrade into generic RELATESTO.
- These systems don't fail due to weak retrieval, but because of flawed structural design. Like other parts of the AI stack, output structure needs constraints to improve queryability and precision.
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