A JavaScript-native framework for building and managing multi-agent systems with a Kanban-inspired visual workflow.
KaibanJS is a JavaScript-native framework for building and managing multi-agent AI systems. It uses a Kanban-inspired approach to visualize and orchestrate AI agents, tasks, and workflows in real-time, solving the challenge of managing complex AI operations within the JavaScript ecosystem.
JavaScript developers who want to build and manage multi-agent AI systems without switching to Python, including those working with React, Vue, Angular, Next.js, or Node.js.
Developers choose KaibanJS because it's designed specifically for JavaScript, offering native integration with popular frameworks, real-time visual workflow management, and a comprehensive feature set for AI agent orchestration, all while being easy to use and learn.
KaibanJS is a JavaScript-native framework for building and managing multi-agent systems with a Kanban-inspired approach.
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Provides an intuitive, Trello-like board to visually monitor AI agent tasks moving from 'To Do' to 'Done' in real-time, making complex multi-agent workflows transparent and manageable directly from the browser.
Designed specifically for JavaScript, it offers seamless integration with React, Vue, Angular, Next.js, and Node.js, allowing developers to build AI agents without learning Python, as emphasized in the 'Why KaibanJS?' section.
Supports per-agent configuration of diverse models from OpenAI, Anthropic, and Google, enabling optimized performance and cost management for different roles within a single workflow, as shown in the 'Multiple LLMs Support' example.
Includes task result passing with `{taskResult:taskN}` syntax, configurable team memory, and WorkflowDrivenAgent for deterministic execution, facilitating complex, multi-step AI processes without relying solely on LLM calls.
Labeled as beta with a stability badge, the framework may have breaking changes, bugs, or incomplete features, making it risky for critical production deployments without thorough testing.
Mastering advanced features like memory management, Redux-inspired state architecture, and WorkflowDrivenAgent setup requires significant time investment, as the README notes the JavaScript ecosystem is 'a bit complex' and may need troubleshooting.
While it supports LangchainJS-compatible tools, it doesn't natively integrate with the broader, more established Python AI tooling ecosystem, potentially limiting access to specialized libraries or pre-trained models.