Causality discovery DSL for the DeepCausality project.
Computational causality library. Provides causality graph, collections, context and causal reasoning.
Programmable ethics for DeepCausality.
AXON — the formal cognitive language: a deterministic, proof-carrying AI runtime. Native Rust lexer/parser/type-checker/IR generator (re-exported from axon-frontend) plus the runtime: typed channels (π-calculus mobility, capability extrusion), algebraic effects via Free Monad CPS handlers, lease kernel + reconcile loop, the Epistemic Security Kernel, Trust Types, Proof-Carrying Code (independently verifiable proof objects), and the closed-catalog extension mechanism. Crate publishes as `axon-lang`; library import is `use axon::*` so existing call sites keep working unchanged.
Computational causality algorithms and utils used in the DeepCausality project.
Neural network layers, models and training APIs for TenfloweRS
Spec-first Rust port of beads_viewer (bv) — graph-aware triage for beads issue trackers (CLI binary: bvr)
Neural forecasting models implemented using ruv-FANN for time series forecasting
CoreML inference engine for Candle tensors - provides Apple CoreML/ANE integration with real tokenization, safety fixes, and model calibration awareness
The invisible database: causal, consistent, and everywhere—without configuration
Rust bindings for the CoReason Hollow Data Plane.
A declarative Rust framework for automatic service management, event-driven triggers, and compile-time dependency injection.