tambo
An AI orchestration framework for React. Open-source.
282 followers
An AI orchestration framework for React. Open-source.
282 followers
Tambo is the interface layer between AI and React, giving AI the ability to generate and interact with your components, including charts, forms, dashboards, and workflows. It's open-source, used by developers, startups, and Fortune 1000 companies.
Free
Launch Team
Render: Get up to $100K in startup creditsCloud infrastructure for founders who want to move fast and NOT break things
Promoted
The future's UI will be dynamic and task-specific. The ultimate just-in-time UI ("LCARS" from Star Trek) will be implemented in all platforms, and we will get there with Tambo.
Tambo bridges AI and React giving models the power to generate and interact with real components like charts, forms, dashboards, and workflows. Open-source and already trusted by startups and Fortune 1000s, it’s the interface layer that makes AI truly usable in production.
👏 Awesome launch, Tambo team! I’m really curious — how does Tambo decide which React components to generate vs. reuse (when users issue natural-language prompts)? 🤔 And in cases where the AI’s understanding is fuzzy or ambiguous, what’s your fallback — tell the user, offer choices, or degrade gracefully?
@sneh_shah these are great questions!
1. Tambo passes the component metadata, and the LLM just chooses which to render. Most of our magic is around how we help you handle streaming, and passing state back to the LLM after user interaction.
2. LLMs are really good at understanding fuzzy needs. For example, if you try our AI assistant on our dashboard, tambo.co/dashboard, you can ask it to update the "prompt" of a project it and it will correctly render the custom instructions UI. No magic here, just the LLM understanding intent.
https://youtu.be/NOb3o05856o
2.b In the future, we are planning to add systems that help product teams improve it through prompts, knowledge bases, and memory.
3. We have been thinking a lot about how to support multiple choices, tuning responses over time (gets it wrong once, then remembers and gets it right all subsequent requests, etc.)
Great questions keep them coming!
Wow, Tambo sounds like a game-changer for making intuitive apps with AI! I love the idea of turning natural language into seamless UI workflows. It's great to see a tool that not only saves developers time but also enhances user experience. Can't wait to see all the creative apps people build with this! 🌟
@alex_cloudstar here are a few from our most recent hackathon:
https://x.com/AdvicebyAimar/status/1966285618582892682
https://x.com/weebhek/status/1966281139225768108
Great work by tambo team, been using this loved the components
@atharva_mhaske thank you for your support. I'm looking forward to seeing what else you build.
Must have product when you have ambiguous LLM data! Love to see it live.
@ckor Thanks! We are cruising.
As a backend engineer, I’ve always found building UI workflows a bit cumbersome and time-consuming. Tambo seems like the perfect solution — turning natural language into working UI flows feels almost magical. It’s impressive how quickly you can go from idea to interactive app without worrying about the usual front-end boilerplate. Definitely a huge time-saver for anyone who wants to focus on core logic while still delivering polished UI experiences!