Lemmalog uses Datalog to build verifiable, traceable memory for AI agents

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Lemmalog is an open-source Rust project (MIT licensed, 313 stars) that proposes replacing vector stores in AI agent memory with a deductive database built on Datalog, a mature declarative logic language. Unlike vector stores, which return similarity-matched text with no source or truth verification, Lemmalog stores facts with full provenance linked back to their origin episodes. Its engine derives new knowledge through logical rules, supports incremental updates per conversation turn, and can flag contradictions within the knowledge base. The approach is particularly suited to use cases requiring auditability and trust, such as enterprise knowledge bases and compliance systems. The project currently ships a Datalog engine, MCP server, REPL, and agent skill, but remains early-stage infrastructure rather than a ready-to-deploy memory solution.

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