Most AI agent tools still require users to write prompts, call APIs, and assemble workflows. SmythOS Studio directly provides a visual canvas.

The left side is the component panel, and the right side is the workspace. Agent Skill, Image Generator, API calls, database operations — these modules are like nodes in a flowchart. Drag them in, connect the lines, and the logic works.

This is their core philosophy: "Creating AI agents should be as intuitive as drawing a flowchart."

It supports one-click Docker deployment and local development. Configure the MySQL database, modify the .env file, run pnpm install && pnpm dev, and it will start. Deployment is even easier: just click a button to push directly from the development environment to production.

The tech stack is React (frontend) + Prisma ORM + MySQL. The architecture is divided into three packages: app (frontend + visual builder), middleware (API layer + database), and runtime (execution engine). You can also extend it by writing code yourself. The official says "No-Code to Pro-Code": start with visualization, and customize with code when needed.

The underlying layer uses the SRE Core Engine to execute agent tasks. It supports multi-step workflow orchestration and can deploy agents as chatbots, APIs, or various integrated forms.

It’s licensed under MIT. Documentation and Docker configurations are complete. Those interested can clone it and run it. Access http://localhost:6060 locally to start tinkering.

For business analysts who don’t want to touch code, this does lower the barrier to AI agents. However, how complex the agents can be and their stability still need to be tested in actual use.