Lemmalog: a Rust Datalog engine replaces vector stores for LLM agent memory
JeremyCMorgan · x · 2026-09-25
Lemmalog (318 stars on GitHub) argues agent memory should be a deductive database rather than a vector store: base facts are asserted at the LLM extraction boundary, rules derive closures, temporal projections, contradiction candidates and relevance diffusion.
- Rust Datalog engine with stratified rules, bi-temporal facts, provenance on every derivation, and why() proof trees
- Ships with an MCP server so your agent harness can use it as a shared brain, plus a REPL and agent skill
- README carries an honest status table of what actually shipped, alongside a design doc
A notable alternative take on agent memory architecture that's directly usable today.
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