DAG agent orchestration with GraphWorkflow: same workflow in half the code
KyeGomezB · x · 2026-09-08
GraphWorkflow orchestrates agents as nodes in a DAG, supporting parallel branches, fan-in/fan-out, dependencies, and convergence points with automatic topological sorting and parallelization, NetworkX/rustworkx backends, and Graphviz visualization.
An example ETL pipeline with three agents (datacollector/processor/analyzer) shows the same diamond workflow in 20 lines vs 40 in LangGraph — roughly 50% less code — making complex multi-agent pipelines easier to build and maintain.
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