AI SDK AGENTS is a product built on Vercel AI SDK, built using Tailwind CSS and shadcn/ui, and provided as TypeScript source code. It provides a full-stack AI SDK mode, which is suitable for tool calling, streaming, proxy and other scenarios, helping developers quickly implement AI functions. The product is highly customizable and developers have full control over the style and layout of components. The product is available in free and Pro versions, with the Pro version including more advanced features. Its positioning is to provide developers with convenient and efficient AI development solutions, saving development time and costs.
Demand group:
["Developers: For developers who need to quickly integrate AI functions, AI SDK AGENTS provides ready-made code patterns and components, which can greatly shorten the development cycle and improve development efficiency. At the same time, its high degree of customizability allows developers to make personalized adjustments according to project needs.", "Enterprises: Enterprises can use this product to quickly build AI applications, such as chat robots, task management systems, etc., to improve business efficiency and competitiveness. The product supports multiple AI providers, and enterprises can choose appropriate services according to their own needs.", "Entrepreneurs: When developing new products, entrepreneurs often need to quickly verify ideas and implement functions. The full-stack model and rich components provided by AI SDK AGENTS can help entrepreneurs quickly build prototypes, saving time and costs."]
Example of usage scenario:
Developers use AI SDK AGENTS to quickly build a chatbot, integrate OpenAI's model, and achieve real-time interaction with users.
Enterprises use this product to build task management systems and realize automated assignment and management of tasks through tool calls and multi-step workflows.
Entrepreneurs use AI SDK AGENTS to develop a marketing analysis tool, using web search tools and data analysis tools to provide companies with market insights and decision support.
Product features:
A full-stack AI SDK model is provided, covering agent workflow and tool invocation. Developers can quickly implement related functions by copying and pasting code, saving development time.
Supports a variety of AI providers, such as OpenAI, Anthropic Claude, Google Gemini, etc. Developers can choose appropriate AI services according to their needs.
With interactive code blocks, developers can preview first, then copy the code and integrate it into their own projects quickly and easily.
Provides a variety of production-ready components, including chat interfaces, tool calls, streaming responses, etc., to meet the development needs of different scenarios.
The tool calling function is implemented, which can call specific tools when needed to enhance the processing power and flexibility of AI.
Supports streaming transmission and can display AI-generated results in real time to improve user experience.
Features multi-step workflows and human-in-the-loop (HIL) capabilities to enable complex task management and approval processes.
Provides rich documentation and tutorials to help developers get started quickly and receive corresponding support when encountering problems.
Usage tutorial:
1. Visit the official website of AI SDK AGENTS (https://www.aisdkagents.com/).
2. Register an account and log in. If you want to use the Pro version, you can choose the corresponding paid plan to subscribe.
3. Browse the documentation to understand the basic concepts, functions and usage of the product.
4. Find suitable code patterns and components in "All Patterns" based on your needs.
5. Preview the code block, and after confirming that it meets the requirements, copy the code to your own project.
6. Make necessary modifications and customizations to the code according to project requirements, such as adjusting styles, adding functions, etc.
7. Deploy the project, you can choose to deploy on Vercel or other supported platforms.
8. Test the project to ensure that the function is running normally. If you have any questions, you can refer to the documentation or contact the support team for help.