Adding an AI assistant to a text editor might seem simple, but if you’ve ever tried it, you know what’s coming.
You’ll need to manage prompt context, handle streamed responses, keep the UX responsive, undo AI output cleanly, and somehow make it all work with multiplayer. And that’s before you think about LLM provider support or content change review flows.
We built Tiptap AI Agent to make this easy.
We built the Tiptap AI Agent to make this easy
Try it out
👉 Live demo
👉 Docs
What it does
The AI Agent lets you build powerful document workflows with just a few lines of code. You can plug in AI assistants that read and edit documents based on user-defined tasks, from simple rewrites to complex automations.
Think of it like "Cursor for rich text editing". Thanks to the new AI Agent toolkit, you can add the agentic features of modern AI-powered code editors into your text editor, in a few lines of code.
It’s designed to be flexible, so you can:
- Use Tiptap Cloud to get started instantly
- Bring your own LLM stack, RAG pipelines, custom tools and prompts.
- Integrate with Tiptap’s multiplayer engine and change tracking
- Let users review, accept, or reject AI-generated changes
- Build tools that feel native, not bolted-on
Why we built this
We’ve seen dozens of teams try to integrate AI into their editors and almost all of them hit the same wall. It’s not just about calling a model. It’s about making it useful, fast, and safe inside a real product.
Tiptap already gives you the infrastructure to build rich collaborative editing experiences. The AI Agent extends that foundation so you can layer in AI assistance without rebuilding your frontend or backend from scratch.
Got feedback, ideas, or questions?
We’d love to hear from you.
Thanks for building with us.
— The Tiptap Team
