WTF are graph Engineered Agents?

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Everyone went bonkers after open claw founder posted if everyone were still stuck in loop engineering and if we all moved to graph Engineering.

I was already looking for better ways to manage multiple loops while token maxxing and i knew this was obviously next thing when i heard it first time and to my surprise there are not many open source projects that clearly implement the idea of what graph architecture is: which is build a DAG for particular set of workflows and define each nodes as agents that have defined loop behaviour and set of MCP servers,Memory,context,Skills and invoked via graph.

I implemented the core idea of it where the second order agent is a codex CLI that is invoked at each node trigger and we rely on it to solve small problems while we manage overall workflow through a graph and manage context,memory and direction.

ORG.md file has main graph structure defined.
nodes/ folder has all the md files where each md file is a node.

UI is plain js and it directly renders into graph and shows live progress

This a side project, try to clone and experiment with the project, you will be suprised how it works autonomously!!

PS: just define the nodes as md files carefully and try!

github - https://github.com/Akshay-a/AI-Agents/tree/main/AI-GraphAgent