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Researcher Builds Datalog Memory Engine for LLM Vuln Analysis

This story is from 2026-08-30. It is preserved in the archive; the latest stories are on the live feed.

Forensic Summary Security researcher Jordy Zomer has developed a Datalog-backed memory system for LLM agents that maintains a structured, causally-consistent knowledge graph during multi-hour vulnerability research sessions — automatically invalidating dependent conclusions when a base fact changes…

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  1. 2026-08-30 20:31 · DEV Community — AI
    Researcher Builds Datalog Memory Engine for LLM Vuln Analysis

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