What is Frontend AI?
Frontend AI is a framework created by Bruncsoft for building the frontend layer of AI agent products. It solves one problem well: giving any AI agent a beautiful, accessible, and fully functional user interface in the shortest time possible.
What it is, exactly
Frontend AI is a React component (ChatInterface) that you drop into your existing app. It gives users a full chat experience: text input, voice recording, file and image attachments, conversation history with a sidebar, and an account panel. Your backend receives the full message history and returns a reply string — that is the entire integration surface.
Universal by design
Frontend AI does not care what is behind it. OpenAI, Anthropic, a local Ollama instance, your own proprietary model — as long as it speaks HTTP, Frontend AI speaks to it. The same applies to tools, databases, and third-party APIs your agent relies on.
Frontend only — intentionally
Frontend AI is a pure frontend framework. It handles nothing on the server side. You own your backend, your data, your infrastructure. Frontend AI is the polished face your users see, not the engine room.
Production-ready from day one
The component ships with conversation history persisted to localStorage, multi-modal input (text, voice, files, camera), account management hooks, error handling, loading states, and a fully responsive layout. You are not starting from scratch — you are customizing a finished product.
Built for developers
Every component is overridable. Colors, layout, copy, icons — all exposed as configuration. No black boxes. The codebase is clean TypeScript you can read, fork, and extend. Exports include ChatInterface, Sidebar, useConversationHistory, useVoiceRecorder, and all relevant types.
Access via private API
Frontend AI is not an open-source project. Access is granted via API key. This lets us maintain quality, provide direct support, and iterate quickly based on real usage.
Why not just use an existing solution?
There are plenty of options. Here is why none of them quite fit when you are building your own AI product.
Component libraries (assistant-ui, shadcn-chatbot-kit)
Building blocks, not a finished product. You still have to wire up every interaction, handle state, manage voice recording, and assemble the layout yourself.
Frontend AI
Frontend AI is a complete, working component. One import, one prop.
Full-stack templates (Vercel chatbot, chatbot-ui)
Standalone apps with their own routing, auth, and database. Hard to embed in an existing product without a major rewrite.
Frontend AI
Frontend AI is a React component that lives inside your app — no separate service, no iframe, no extra infrastructure.
SaaS platforms (Chatbase, Intercom, Drift)
Your conversation data lives on their servers. You are locked into their UI, their pricing, and their roadmap. Customization is limited to what their settings panel allows.
Frontend AI
You own the full source code and choose where data lives. No vendor lock-in — the UI is yours to extend without platform limits.
Self-hosted chat apps (LibreChat, Open WebUI)
Designed as complete ChatGPT replacements for end users — not embeddable UI components. You get a whole separate app, not a frontend layer for your own product.
Frontend AI
Frontend AI is a UI component, not an app. It embeds inside your existing product and connects to your backend.