tambo-ai/tambo

What it solves

Tambo is a React toolkit designed to create "generative UI," where AI agents can dynamically render and update specific user interface components based on user requests. It removes the need for developers to manually map every AI tool call to a specific UI element, allowing the agent to decide which component to render (e.g., a chart for sales data or a task board for adding tasks).

How it works

Developers register React components with Zod schemas that define the expected props. These schemas are converted into LLM tool definitions. When the agent identifies the need for a specific component, it calls the tool and streams the props directly to the component in the browser. The toolkit includes a React SDK and a backend (available via Tambo Cloud or self-hosted via Docker) that manages conversation state, agent orchestration, and streaming infrastructure.

Who it’s for

Frontend developers using React who want to integrate AI agents into their applications with dynamic, interactive interfaces rather than simple text-based chat.

Highlights

• Generative and Interactable Components: Supports both one-time renders (like charts) and persistent, stateful components (like spreadsheets) that can be updated as the user interacts with the agent.
• MCP Integration: Built-in support for the Model Context Protocol (MCP), allowing agents to connect to external tools like Slack, Linear, or databases.
• Local Tools: Ability to define browser-side functions (e.g., DOM manipulation or API fetches) that the agent can trigger.
• Broad LLM Support: Compatible with OpenAI, Anthropic, Google Gemini, Mistral, and any OpenAI-compatible provider.
• Fullstack Solution: Provides both the client-side SDK and the backend orchestration layer.