Show HN: AnamDB – An AI-native, differentiable Datalog engine written in Rust

Category: database

Tags: datalog, rust, neurosymbolic, differentiable, ai-native, vector-database, explainability

Score: 7.3/10 (Innovation: 8, Technical: 8, Documentation: 7, Utility: 6)

AnamDB is a neurosymbolic database engine in Rust that integrates probabilistic neural models with Datalog-based symbolic reasoning, treating models as first-class citizens. It offers explainability via provenance tracing, safety guardrails against hallucinations, and a Pareto-optimized query planner, making it a novel approach to AI-native data processing. The project is ambitious with a well-structured architecture but currently has no stars and a restrictive BSL license, limiting immediate adoption.

Target audience: data engineers, ai-engineers, backend-devs

Repository: https://github.com/jam5991/anam · Rust · NOASSERTION

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