Tambo 1.0: Open-source toolkit for agents that render React components (github.com)
Hi HN — cofounder Michael here.
We've been building Tambo for about a year, and just released our 1.0.
We make are making it easier to register React components with Zod schemas, a build an agent picks the right one and renders the right props.
We handle many of the complications with building generative user interfaces like: managing state between the user, the agent, and react component, rendering partial props, and we handle auth between your user, and MCP. We also support adding MCP servers and most of the spec.
We are 100% open-source and currently have 8k+ GitHub stars, thousands of developers, and over half-millions messages processed by our hosted service.
If you're building AI agents with generative UI, we'd like to hear from you.
12 comments
[ 3.3 ms ] story [ 30.0 ms ] threadRelease: http://blog.modelcontextprotocol.io/posts/2026-01-26-mcp-app... . Announcement: http://blog.modelcontextprotocol.io/posts/2025-11-21-mcp-app... . Submission: https://news.ycombinator.com/item?id=46020502
is this the same category to CopilotKit? CPK is a AGUI proxy for similar topics, but here seems to be more emphasis on linked components?
My agents need a UI and I'm in the market for a good framework to land on, but as is always the case in these kinds of interfaces I strongly suspect there will be a standard inter-compatible protocol underlying it that can connect many kinds of agents to many kinds of frontends. What is your take on that?
Maybe I’m misunderstanding, but isn’t generating UI just-in-time kind of risky because AI can get it wrong? Whereas you can generate/build an MCP App once that is deterministic, always returns a working result, and just as AI native.
Edit: Announcement was more clear https://tambo.co/blog/posts/introducing-tambo-generative-ui
Can it also generate new components?
our use case is to allow other users to build lightweight internal apps within your chat workspace (say like an applicant tracking system per hire etc.)
It sounds promising, because it is on the outside reproducible deterministic component generation in a modern fashion as far as I understood it.
I build a large platform using a methodically comparable approach I suppose, albeit in the pre-AI time, and that's why I wanna have a closer look at the inner workings and results of your project - curiosity so to say.
You appear to be the only solid and promising endeavor in the GenUI domain with a solid approach other than simply relying on an LLM but using math in combination with AI.
Good luck!