SelfMachines

On SelfMachines, you build ML agents by wiring up a graph instead of writing code. SelfMachines is a no-code AI developer tool for creating graph-based, trainable ML agents and compound multi-agent systems, then deploying them.

The company behind it is SelfMachines Inc.

The starting point is low level.

You can assemble a customized agent from its individual layers, then connect those pieces into deep learning and processing pipelines, including fairly complicated ones.

Graph visualization shows how models and processes fit together, and orchestration for both runs through the same view.

All of this sits on a hierarchical graph engine that the team developed in-house, which means the graph model is the core of the product and not a layer added on top of someone else's framework.

The selling point is accessibility: taking the work out of training and deploying AI.

It fits people who want control over architecture without a code-heavy workflow.

If you only need a quick prompt-based chatbot, this is likely more depth than you need.