KaibanJS

Configure AI agents with distinct roles and goals to excel in specialized tasks and functions.

Build and manage collaborative teams of AI agents to tackle complex problems efficiently.

Utilize a familiar Kanban-style interface (Kaiban Board) to visualize, manage, and share AI agent workflows.

Manage every step of the AI journey, from creating agents and visualizing workflows to integrating with deployment platforms.

Enable AI agents to utilize specialized tools like search engines and calculators for enhanced precision and efficiency.

Integrate and optimize a range of specialized AI models from diverse providers tailored to project aspects.

Support all LangchainJS-compatible tools, offering a versatile approach to tool integration.

Easily add AI capabilities to existing JavaScript projects built with NextJS, React, Vue, Angular, and Node.js.

Run the Kaiban Board locally for rapid development, testing, and iteration of AI agent systems.

Deploy AI agents anywhere, including private servers or cloud platforms like Vercel and AWS.

Maintain complete control over AI projects and deployment without reliance on specific vendors or SaaS platforms.

Users retain full ownership of their AI projects, data, and infrastructure.

Track every state change with detailed stats and logs, ensuring full transparency and control over agent operations.

Gain real-time insights into token usage, operational costs, and LLM usage statistics for informed decision-making.

Utilize a unified, consistent state management architecture for AI agents, tasks, and overall workflow within applications.

Monitor the status of individual tasks within agent workflows, providing clear visibility into progress and execution.