Building a Sub-Millisecond Neurosymbolic Memory Engine for AI Agents
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Autonomous AI agents are increasingly bottlenecked by long-term memory. Most existing memory frameworks compress interaction history into opaque vector embeddings stored in a vector database. While vector search is effective for semantic text retrieval, it exhibits severe operational flaws when app…
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- 2026-10-21 16:51 · DEV Community — AI
Building a Sub-Millisecond Neurosymbolic Memory Engine for AI Agents