graph-engineering

The context orchestration layer powered by hypergraphs. Build a unified semantic context layer where agentic outcomes are deterministic and agent behavior is not just traceable, but cryptographically verifiable.

An open-source graph engineering runtime that keeps orchestration in TypeScript and delegates semantic work to replaceable Agent runtimes.

A Survey on Ontology Engineering, Graph Engineering, Loop Engineering, Harness Engineering, Context Engineering and Prompt Engineering

[Up-to-date] A curated list of resources on graph-empowered agents and agent-facilitated graph learning (Graphs Meet Agents & Agentic Graph Engineering).

agent wiki +engineering skills

AI Agent Skills, Loops and Dynamic Workflows for Security Auditing, Pentesting and Research

Build stateful agent workflows with typed outputs, reusable tools, session forks, and ordinary TypeScript.

The structured context layer for AI agents. Build self-learning specialised agents that are context aware.

Turns repeatable, domain-agnostic workflows into graph-driven loops.

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

Long-horizon agent skill for Claude Code / Cursor / Codex / Grok Build — multi-task ledger loop, host-portable, clean-context supervisor, verified gates. Markdown library (loop-graph), not a framework.

An end to end implementation of Graph Engineering as proposed by Andrew NG and Peter Steinberger

Graph Engineering, simplified — with GraphCode. #graphcode

Personal-memory-driven AI work twin that uses Codex to work inside real projects.

A context graph which is based on confidence-aware belief that drives more determinstic reasoning in long-horizon agents.

🕸️ Engineer the organization, not just the agent. 565 curated resources · 9 design layers · 11 sections · 255 papers & preprints — a field guide, CC0 open dataset, and interactive atlas for graph-structured multi-agent systems: roles, topologies, handoffs, work graphs, state, gates, reliability, observability.

A graph-engineering agent harness for long-horizon, research-level autoformalization.

This repository serves as the comprehensive workspace for Quarter 4-5 academic endeavors, encompassing assignments, technical documentation, experimental implementations, and applied projects.

A playbook framework for Claude Code and the sprint loop built on it — deterministic state machinery, model-driven steps, plain-markdown vault

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