AnamDB
The AI-Native, Differentiable Logic Kernel for Autonomous Agents.
AnamDB is a neurosymbolic database engine that natively integrates probabilistic neural inference with deterministic symbolic reasoning. Models are first-class citizens, logic is verifiable, and every query returns a provenance-backed reasoning trace.
Modules
- [
core] — Session API, Arrow schemas, and semiring provenance. - [
model] — AI-Tables, Function-as-Operator (FAO) registry, and inference adapters. - [
logic] — Differentiable Datalog engine (Scallop) and NL-to-Logic compiler. - [
execution] — Extended DataFusion operators, Pareto optimizer, and heterogeneous dispatch. - [
storage] — Lance-backed table provider with snapshot versioning. - [
hitl] — Human-in-the-Loop semantic monitoring, self-repair, and interactive triage. - [
sdk] — Logic Pack SDK for building distributable domain-specific rulesets.