A locally compiled runtime for governed domain-agnostic agent graphs.

Desktop app for harness engineering, loop engineering, graph engineering—and whatever comes next in local AI-agent workflows.

🕸️ Field guide, open dataset & interactive atlas for graph-structured multi-agent systems and programmable AI-agent organizations.

Design grounded graphs of governed improvement loops.

Graph Engineering for Agent Skills: a specification and toolchain for dynamically discovering context and building observable, testable, and recoverable agent workflows.

Python toolkit for multi-step AI/agent systems as explicit graphs — define nodes/edges, structural validate (V1–V9), Mermaid visualize, pattern init, and skeleton walk. Vendor-agnostic. Runtime agent execute later.

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.