
KaibanJS
The JavaScript Framework for Building Multi-Agent Systems

Description
KaibanJS provides a JavaScript framework designed for building and managing complex multi-agent AI systems. It adapts the familiar Kanban methodology, commonly used in project management tools like Trello or Jira, to visually represent and coordinate the workflow of AI agents in real-time. This approach aims to simplify the development and monitoring of sophisticated AI agent interactions, making them more accessible for JavaScript developers.
The framework includes the Kaiban Board, a visual playground that transforms potentially complex agent operations into shareable, Trello-style workflows. It supports integration with popular JavaScript frameworks (React, Node.js, Next.js, etc.) and multiple Large Language Models (LLMs). Key capabilities include robust state management, role-based agent configuration, tool integration, and built-in observability features for monitoring performance and costs, all designed to run locally or on preferred infrastructure without vendor lock-in.
Key Features
- Kaiban Board: Visualizes AI agent workflows in a Trello-style interface.
- Multi-Agent System Framework: Build systems with multiple AI agents collaborating on tasks.
- JavaScript Framework Integration: Works seamlessly with React, Node.js, Next.js, Vue, Angular.
- Robust State Management: Redux-inspired architecture for managing agent and task states.
- Multiple LLM Support: Integrate models from providers like Google, Anthropic, OpenAI.
- Local/Self-Hosted Deployment: Run locally or deploy anywhere without vendor lock-in.
- Role-Based Agent Design: Configure agents with specific roles, goals, and backgrounds.
- Tool Integration: Equip agents with tools like search engines (supports LangchainJS tools).
- Observability and Monitoring: Track state changes, stats, logs, token usage, and costs.
Use Cases
- Automating sports news article generation.
- Creating personalized travel itineraries.
- Building tailored resumes from professional details.
- Developing AI-powered features in web applications.
- Managing complex AI workflows visually.
Frequently Asked Questions
What Is an AI Agent?
An AI agent is like a specialized team member with a specific job, such as answering questions, processing data, or giving recommendations, analogous to a developer or designer in a team.
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