WebAssembly bindings for Midstream temporal comparison, scheduling, and meta-learning + real QUIC transport via agentic-flow
⚡ High-performance synthetic prompt generation with genetic evolution, streaming, and multi-model routing. 90%+ cache hit rate, <15ms P99 latency, no Redis required.
Real-time LLM streaming with inflight analysis
Dynamical systems and strange attractors analysis
Temporal logic with neural reasoning
QUIC multi-stream support for native and WASM targets
Ultra-low-latency real-time task scheduler
Self-referential systems and meta-learning
Temporal sequence comparison and pattern matching
High-performance HTTP/SSE proxy server for LLM guardrails with sub-10ms latency
Deep behavioral analysis layer for AIMDS with temporal neural verification
Fast-path detection layer for AIMDS with pattern matching and anomaly detection
Adaptive response layer with meta-learning for AIMDS threat mitigation
DSFB deterministic residual structuring framework for Upstream and Midstream Oil and Gas systems. A deterministic, read-only, observer-only augmentation layer for typed residual interpretation. The core engine is no_std + no_alloc. Unsafe code is forbidden in the library. Dataset loading, fleet evaluation, reporting, and executable examples are std-gated.