A local, domain-agnostic workflow runtime that compiles decision graphs into durable, governed execution for agents, with recovery, operator control, and evidence-backed completion.
-
Updated
Jun 15, 2026 - Python
A local, domain-agnostic workflow runtime that compiles decision graphs into durable, governed execution for agents, with recovery, operator control, and evidence-backed completion.
Design grounded graphs of governed improvement loops.
🕸️ Field guide, open dataset & interactive atlas for graph-structured multi-agent systems and programmable AI-agent organizations.
Progress-aware execution for durable, grounded, token-efficient coding agents.
Build graph-structured multi-agent systems with this collection of research papers, datasets, and design patterns for programmable AI organizations.
Add a description, image, and links to the graph-engineering topic page so that developers can more easily learn about it.
To associate your repository with the graph-engineering topic, visit your repo's landing page and select "manage topics."