Type-safe DAG execution engine for AI workflows
-
Updated
Jan 22, 2026 - TypeScript
Type-safe DAG execution engine for AI workflows
Lightning-fast Rust workflow engine for building scalable agentic automation pipelines.
Framework for Modeling Phased Reactive Systems.
FROG is a fully open graphical dataflow language designed for secure, deterministic, and hardware-agnostic orchestration. With an open JSON expression, IR core, and multi-target compilers, FROG separates language, runtime, and IDE to create a true open foundation for graphical programming.
Amadeus-AI is python framework for autonomous AI agents with planning, execution graphs, and plugins.
Big Data streaming processing engine
TensorFlow 2 graph execution (@tf.function, optional JIT) and a compact ResNet built with the Keras Functional API
Multi-Engine (PyTorch & JAX/XLA) Zero-Branching Geometric Acceleration Core. Enforces 0% Graph Breaks & Real-time Fault-Isolation via hardware-native bitwise MUX operations (torch.where / jax.lax.select) to permanently eliminate 'jmp' instructions and host-device synchronization fences.
Refactorings for optimizing imperative TensorFlow clients for greater efficiency.
Add a description, image, and links to the graph-execution topic page so that developers can more easily learn about it.
To associate your repository with the graph-execution topic, visit your repo's landing page and select "manage topics."