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JordyZomer

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2026-08-29 / projects-researcherLemmalog turns agent memory into a Datalog engine and beats full-transcript prompting on 38x less contextJordyZomer/lemmalog was created 2026-08-27, is 76 stars and MIT-licensed in Rust, and the author's write-up hit HN at 173 points on 2026-08-28. It stores LLM observations as provenance-tracked facts with stratified rules and incremental derivation, exposed to a harness through an MCP server, so the model does language extraction while the database keeps logical consistency. Reported results are 0.463 ±0.010 F1 on LongMemEval with 38x smaller context than full-transcript prompting and 0.533 ±0.001 F1 on LoCoMo at 6x smaller, strongest on knowledge updates and adversarial questions.

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BUILT BY
Lemmalog
JordyZomer built Lemmalog as an agent memory system.
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BUILT BY
Lemmalog -> JordyZomer
JordyZomer built Lemmalog as an agent memory system.
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