KaibanJS

KaibanJS provides a JavaScript framework to build and run AI agents as a coordinated team. It targets developers who want to manage AI-powered workflows with a Kanban-like board and real-time visualization. The tool emphasizes local runs and vendor-neutral deployment so teams can iterate without lock-in.

The framework centers on creating agents, tasks, and a team as building blocks, then starting the workflow to see agents operate together. It integrates with common JavaScript environments and supports ES6 or CommonJS imports, facilitating adoption in existing projects.

KaibanJS presents a Kanban-like board for AI workflows, converting console logs into visual, shareable workflows. It aims to make AI agents and human collaborators clear to teams and clients, while enabling local runs and easy sharing.

The platform highlights observability features, showing state changes, logs, token usage, and costs to provide transparency and control over AI workflows. It emphasizes versatility across web apps and deployment options.

Use cases

• Trip Planning use case shows agents selecting cities, gathering local insights, and crafting itineraries.
• Resume Creation use case automates data extraction and resume writing.