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Kaibanjs
Overview :
KaibanJS is a framework designed specifically for JavaScript developers to build and coordinate AI agents. It allows developers to handle AI tasks in a microservices-like approach, where each agent is responsible for different tasks, such as data processing and output generation, all working together automatically. KaibanJS emphasizes ease of use and native JavaScript support, enabling JavaScript developers to enjoy the capability to build complex AI systems.
Target Users :
The target audience for KaibanJS is JavaScript developers, especially those who want to integrate AI features into their applications without leaving the JavaScript ecosystem. It lowers the barrier to AI development, allowing developers to leverage their existing skills and tools to build complex AI systems.
Use Cases
Build an AI-driven resume generator with KaibanJS that automatically extracts information from user input and generates a formatted resume.
Deploy KaibanJS on news websites to have AI agents search for sports information and write in-depth sports articles.
In a travel planning app, use KaibanJS agents to select cities based on user criteria and create personalized travel itineraries.
Features
Integrates various JavaScript frameworks: Easily add AI functionality to NextJS, React, Vue, Angular, and Node.js projects.
Kaiban Board: Provides a Trello-like visual interface, making AI workflows clear to the entire team and clients.
Robust state management: Utilizes Redux architecture to manage the states of AI agents, tasks, and overall workflows uniformly.
End-to-end support from creation to deployment: KaibanJS covers every step of the AI journey, from creating agents and visualizing workflows to integrating with deployment platforms like Vercel or AWS.
Supports multiple large language models (LLM): Optimizes AI solutions by integrating different domain-specific AI models.
Role-based agent design: Configures AI agents to perform different key functions in projects, enhancing task efficiency and effectiveness.
Tool integration: Enables AI agents to use search engines, calculators, and other tools to execute professional tasks with greater precision and efficiency.
Observability and monitoring: Built-in features allow you to track each state change, providing detailed statistics and logs to ensure system transparency and control.
How to Use
1. Initialization: Run `npx kaibanjs@latest init` in the terminal to quickly set up KaibanJS.
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2. Run: Start a local instance of Kaiban Board using the command `npm run kaiban`.
3. Install: Install KaibanJS through npm or your preferred package manager with the command `npm install kaibanjs`.
4. Import: Use ES6 or CommonJS syntax to import KaibanJS in your JavaScript files.
5. Create: Build workflows using agents, tasks, and teams as building blocks.
6. Start: Run team workflows, for example, `devTeam.start()`.
7. Access documentation: Get more setup and running information for KaibanJS by visiting https://docs.kaibanjs.com/get-started/Quick%20Start.
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