KaibanJS
VerifiedJavaScript framework for building and managing multi-agent AI systems via Kanban boards.
What is KaibanJS?
KaibanJS is an open-source JavaScript library that brings Kanban-style task management to multi-agent AI systems. It lets users create agents, assign tasks, and connect tools within a structured team setup that runs on top of language models.
Workflows are defined in code using simple classes for agents and tasks, then executed either through a provided visual board or embedded directly in React or Node applications. Progress updates appear as tasks transition between states, with results collected at the end.
The tool targets JavaScript developers who need to prototype or deploy agent teams without building coordination logic from scratch, whether for internal automation or client-facing AI projects.
What you can build with KaibanJS
Research automation
Set up a researcher agent to gather information on topics and move findings through review stages on the board.
Content production pipelines
Coordinate multiple agents to research, draft, and edit material while tracking each step visually.
Custom application embedding
Integrate the library into existing React or Node projects to run agent teams without any UI.
Install KaibanJS
npx kaibanjs@latest initnpx kaibanjs@latest init- 1Run npx kaibanjs@latest init inside your project folder.
- 2Add your OpenAI API key to the generated .env file.
- 3Start the board with npm run kaiban.
- 4Click Start Workflow to execute the sample and watch tasks progress live.
- 5For code-only use, install via npm and import Agent, Task, and Team classes directly.
KaibanJS: pros & cons
Pros
- +Familiar Kanban visualization reduces the learning curve for task tracking.
- +Works in both browser-based boards and headless Node or React environments.
- +Quick initializer script gets a working example running in under a minute.
- +MIT license and active GitHub presence encourage community contributions.
Cons
- –Currently marked as beta, so API stability is not guaranteed.
- –Primarily tied to OpenAI keys in the quick-start example.
- –Visual board requires a separate dev server rather than running fully embedded.
Frequently asked questions
No, the core library can be used headless in any JavaScript environment.
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