CopilotKit Working Memory: Easily Manage Projects & Tasks with AI (Step-by-Step Guide)
Tired of juggling multiple project management tools? Discover how CopilotKit's Working Memory leverages AI to streamline your workflow and boost productivity. This guide provides a clear, concise walkthrough of how to set up and use this powerful tool.
What is CopilotKit Working Memory?
Working Memory is an example implementation showcasing the capabilities of CopilotKit for integrating AI into project management applications, like Linear. It allows you to manage tasks and projects using an AI assistant, directly within your application. Forget endless scrolling and manual updates!
Key Benefits of Using CopilotKit Working Memory
- AI-Powered Assistance: Get answers and perform actions within your project management app using the CopilotKit AI assistant.
- Real-Time Chat Interface: Experience live, interactive chat driven by
@copilotkit/react-ui
for dynamic updates and agent responses. - Smooth State Management: Benefit from robust agent state management thanks to
@copilotkit/react-core
. - Responsive Design: Enjoy a seamless user experience across all devices with the Tailwind CSS powered UI. Everything looks good, no matter the screen size.
Core Features That Will Transform Your Workflow
- CopilotKit AI Chat Interface: Interact with an AI assistant capable of answering questions and executing tasks. Imagine having a smart teammate available 24/7.
- Real-Time Interactivity: Engage in a dynamic chat experience with live state changes and agent responses. See changes happen instantly.
- State Management & Agent Coordination: Seamlessly manage agent states for smooth travel and research function integration. Never lose track of where you are in a process.
Tech Stack: The Power Behind the Performance
Here's a breakdown of the technologies that make CopilotKit Working Memory tick:
- Framework: Next.js - for a robust and performant application.
- UI Library: React, CopilotKit UI - create a dynamic and engaging user interface.
- State Management: CopilotKit React Core - Ensures smooth and predictable application behavior.
- Styling: Tailwind CSS - For a modern and responsive design.
Additional Libraries:
- React Query for efficient data fetching.
- Framer Motion for smooth and engaging animations.
- Radix UI for accessible and user-friendly components.
- React Flow for visualizing complex workflows with flow diagrams.
Get Started: Installation and Setup in 3 Easy Steps
Setting up CopilotKit Working Memory is simple. Follow these steps to get up and running quickly:
-
Prerequisites: Make sure you have Node.js (LTS version recommended) and either npm, yarn, or pnpm installed.
-
Installation:
- Clone the repository:
- Install dependencies:
-
Environment Setup: Create a
.env
file in the root directory and add your OpenAI API key:OPENAI_API_KEY = YOUR_API_KEY
Run the Development Server
- Run the development server using one of these commands:
- Open your browser and navigate to
http://localhost:3000
. You should now see the CopilotKit Working Memory interface!
Project Structure: A Quick Tour
Understanding the project structure makes customization and extension easier:
/src/app
: Contains Next.js components, layouts, and global styles. The core of your application's presentation./src/components
: Houses reusable components like agent interfaces (Travel, Research, Chat, Map, Sidebar) and UI elements. The building blocks of your interface./src/providers
: Wraps global state providers for managing agent states. Keeps your application state organized./src/lib
: Includes utility functions and configuration files. Helpful tools and settings./src/hooks
: Custom React hooks for shared functionality. Reusable logic for your components./src/contexts
: React context providers for global state management. Centralized data management.
Development: Linting and Building
Make sure your code is clean and ready for production:
- Linting:
- Building for Production:
Deployment Made Easy
The easiest way to deploy this project is with Vercel. Build and start your application with:
Follow Vercel's deployment guide for detailed instructions.
Contributions Welcome!
Want to make CopilotKit Working Memory even better? Fork the repository and submit a pull request with your improvements, bug fixes, or new features. Your contributions are highly valued!
License
This project is distributed under the MIT License. See the LICENSE
file for more information.