Meet CopilotKit: an open source Copilot platform for seamless AI integration into any application

What is CopilotKit?

CopilotKit is an open source framework designed to make it easier to integrate ai into applications. With 4.4k+Git Stars, has received great recognition within the open source community. Helps create personalized ai co-pilots, including in-app ai chatbots and agents capable of dynamically interacting with the app environment. The framework is designed to streamline ai integration by handling complex aspects such as application context awareness and interaction.

Highlight CopilotKit to support your work:

https://github.com/CopilotKit/CopilotKit

Challenges resolved through CopilotKit

These are the four challenges of many that CopilotKit helps with:

CopilotKit Components
CopilotKit offers many components that you can use for your applications. It has native support for LangChain, LangGraph and LangServe and also provides built-in native UI/UX components that you can use as part of your applications:

• CopilotChat: This tool enables the creation of app-friendly ai chatbots that can interact with the frontend and backend of the app, as well as third-party services.
• CopilotTextarea: Acts as a direct replacement for any '' and offers ai-assisted text generation and editing.
• Agents in the app: CopilotKit enables real-time contextual access to applications and allows agents to act within applications.
• Coagents: It will be released soon and will be able to allow end users to intervene and restart agent operations if necessary.
• Specific Purpose LLM Chains: Customize language model chains for specific applications.
• Integrated UI Components: It also includes components such as 'Copilot sidebar' and 'Copilot popup' for user interface customization.

How does CopilotKit work?

Let's look at the key points about how CopilotKit works:

1. Frame first– A framework to connect every component of your application to the copilot engine.
2. The copilot engine: It receives the user's request, extracts the relevant application context, formats it for the LLM, and then initiates the action in the application on behalf of the user. It integrates deeply with the front and backend.
3. ai components: Customizable, headless UI components for native ai features: chatbots, ai agents, and ai-powered text areas.
4. Generative UI: Custom interactive user interfaces rendered within the chat, rendered along with ai-initiated actions.
5. Agents in the app: Bring LangChain agents as interactive application components. They can see the application context in real time and initiate actions within the application.
6. Copilot cloud: Turnkey cloud services to scale and produce co-pilots: co-pilot memory and chat histories, guardrails, self-learning (co-pilot gets smarter with use)
7. Simplicity in Integration: Integrating CopilotKit into existing application infrastructures is facilitated through simple entry points, making applications with advanced ai capabilities easy to use.

Use Case: CoPilotKit Presentation Builder

Let's create something cool using CopilotKit, a text to PowerPoint creation app.

We have to meet some prerequisites before continuing:

Now, let's follow the essential steps to get the desired slideshow making app using the following steps:

git clone https://github.com/CopilotKit/presentation-demo

• Navigate to the cloned repository and install the packages:

npm install 

• Create a “.env.local” file in the root directory of the project and mention the two API keys obtained in the prerequisite part:

OPENAI_API_KEY = "...."
TAVILY_API_KEY = "........"

npm run dev

• Open http://localhost:3000 in your browser to view the application:

• There will be a Copilot sidebar here. Let's enter this message: “Create a slide about the benefits of ai in healthcare.” You will get the desired slide:

This is what CopiloKit did on the backend:

• Take the message and send it to TAVILY to investigate the issue.
• The response can then be forwarded to OpenAI to create the slide content.
• CopiloKit then places the OpenAI LLM output in the desired locations, using its update capabilities.

CoipilotKit App Trend Examples

1. Chat with your resume: ai-powered resume builder app using Nextjs, CopilotKit, and OpenAI.
2. Apply text to PowerPoint: This ai-powered PowerPoint app can search the web to make a presentation on any topic automatically. Integrate ai into your app using Next.js, OpenAI, LangChain & Tavily, and CopilotKit.
3. ai Powered Blogging Platform: ai-powered blogging platform that can search the web and research any topic for a blog article using Next.js, OpenAI, LangChain & Tavily, CopilotKit, and Supabase.

Conclusion
The introduction of CopilotKit reveals a robust and promising framework for seamlessly integrating ai capabilities into your applications. By incorporating CopilotKit, developers gain access to a toolset that provides a simplified method for creating interactive ai functions with user enhancements through intuitive interfaces such as CopilotChat, CopilotSidebar, and CopilotTextarea. The initial installation process, comprehensive documentation, and illustrative code examples ensure that even a non-tech savvy person new to ai can embark on this journey with confidence. Whether you're trying to create ai-powered chatbots, enrich text areas with intelligent completions, or create fully custom ai interactions within your apps, CopilotKit can help.