Small tutorial example of an AWS Lambda custom runtime
AXON v1.5.1 — first crates.io publication of the AXON language full-stack runtime. Lexer/parser/type-checker/IR generator (re-exported from axon-frontend) plus the native Rust runtime: typed channels (TypedEventBus with QoS×5, π-calculus mobility, capability extrusion via shield D8 — Fase 13.f.2), Free Monad CPS handlers (Fase 2), lease kernel + reconcile loop (Fase 3+5), Epistemic Security Kernel (ESK Fase 6), Trust Types + ReplayLog (Fase 11.a+11.c), Stateful PEM over WebSocket (Fase 11.d), Ontological Tool Synthesis (Fase 11.e), Mobile Typed Channels (Fase 13). Crate publishes as `axon-lang` to mirror the Python PyPI package; library import remains `use axon::*` so existing call sites keep working unchanged.
Self-Optimizing Neural Architecture - Runtime-adaptive learning for LLM routers with two-tier LoRA, EWC++, and ReasoningBank
A type-safe framework for AWS AppSync Direct Lambda resolvers
A GraphQL server library implemented in Rust
A GraphQL server library implemented in Rust
Ultra low latency transformer inference with mincut-gated coherence control
Memory, power, and latency profiling hooks with CSV emitters for benchmarking attention mechanisms
Rust http interface for AWS lambda API gateway events
Rust http interface for AWS lambda API gateway events (attr macros)
Mechanically rewrites ruby/spec files into the assert_eq / assert_raises shape rubyrs's micro-runner understands.
Predictive Coding Actor-Critic reinforcement learning framework — pure Rust, zero ML dependencies
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.