vendo

ace, theme, routes, and more. These are used so that the apps Vendo creates (1) look on-brand and native and (2) have the ability to read data and perform actions directly through the company's API - When a user asks for a feature, we have a custom Vendo harness that writes a React component with a bunch of Vendo add-ons and guardrails (ex. ability to make calls to the host API + our component library). Every save is compiled, type-checked, run against real API responses, and rendered before the user sees it. We just released a benchmark and write-up here with more info for anyone interested: https://vendo.run/blog/generating-product-ui-measured - We use QuickJS to make sure that anything the agent creates is sandboxed and can't mess with the company's site. Vendo compiles the component and runs it with Preact inside a QuickJS VM with no access to the DOM, network, or clock. The VM returns a UI tree, which the host renders using the product’s registered components. When the user clicks something, QuickJS emits a tool call; the host executes it through Vendo’s guard and passes the result back into the same VM, preserving the screen’s local state. There's a lot of generative UI right now: streaming developer-written components into a chat (Vercel AI SDK, CopilotKit, Thesys), or rendering your app inside someone else's assistant (OpenAI Apps SDK, MCP Apps). We differ on two things. Vendo lives in your product and acts through your API as the signed-in user, so what it makes is durable: real apps users keep, pin, and run on triggers while they're away, and not components that are merely confined to a chat. Plus, it's not capped at putting together a bunch of prebuilt components: the agent can build arbitrary apps, from a quick dashboard out of your own components to real custom code running in a sandbox, and either way data only ever comes from tool calls to your API. Here are some things customers are using Vendo for today: - Letting their users create custom dashboards and reports. These are mainly UI-based and focused on letting the user see the exact graphs and metrics they care about - Letting their customers create recurring automations. A big thing as well that has been used for these automations is the fact that we connect to external connections, so users have been automating many of their inter-tool workflows (ex. an automation that sends a slack alert based off of something in the product) - B2B customers letting their customers customize the product with specific business logic. Often this is simple things like an extra field on a form, or an extra permission, but it is hard for a business to keep up with them otherwise. - Creating and sharing custom dashboards/apps across an organization. Since the apps Vendo creates are durable, they can be shared, reused, and forked (which can’t be done with many of the other in-chat generative UI solutions) We've spent a lot of time thinking about how AI and agents will change the way people consume software. We think the answer is personal(ized) software: you see the UI you need to see, you tell an agent exactly what you need, and the product molds to how you work. The key insights that have enabled the product to work are: - A rule in code always beats a rule in a prompt. - Invent as little syntax as possible. Generation got faster and more reliable when the output looked like what models already know (JSX-shaped markup) instead of a clever custom format. - Deterministic beats model wherever you can get away with it. Theme extraction is pure static analysis, and a remix starts as a copy of your component, no model call. Vendo is completely open-source (Apache-2.0) and can be self-hosted, so feel free to check out all the source code here: https://github.com/runvendo/vendo. Would love you to try it out and give us your feedback: https://docs.vendo.run/. Or if you’re a company looking to embed Vendo in your product feel free to book a call here: https://cal.com/team/vendo/intro-call

ugh to convince users to switch to us, and people just wanted to customize what they already use. So we pivoted to what Vendo currently is. We now give businesses the ability to let their users personalize the product directly. Users can generate their own custom micro-apps, customize existing components, create automations, connect to external tools, and more! And the goal is not just to generate UIs, but full-on micro-apps and features that can do real stuff for users. Everything your users create is built within your existing brand/theming, security guardrails, and API. All the code your users create is run in secure sandboxes, so the application's source code is not touched at all. We have some demo GIFs here if you would like to see how it works: https://github.com/runvendo/vendo We are open-source (as seen from above) and we can integrate with existing agents (or set up a production-ready one with everything needed) all with one command! That one command lets Vendo learn your brand, components, and API. We currently support Vercel AI SDK but are adding support for other agent frameworks soon. Please check out the repo, and am happy to discuss how everything works under the hood! Two of the hardest problems we've been working on are (1) generating high-quality and on-brand UIs fast and (2) securing everything while still giving users a lot of power, and would love to share more technical details.