Wabi AI Messenger: A New Chapter for the App Maker
Wabi, the startup that let anyone build apps using prompts, is changing direction. The company announced this week that it is becoming a Wabi AI messenger — one that can still build apps to help you get things done.
The new experience is called Wabi 2.0. Founder Eugenia Kuyda, who previously founded the AI companion startup Replika, described it as a “personal agent that does stuff for you and builds the interface you need in the moment.”
It’s a similar value proposition to the original Wabi, but users interact with it differently. Instead of competing with other vibe-coding tools, the Wabi AI messenger aims more directly at agents that combine conversation and productivity in a single interface.
Why Wabi Is Making the Shift
The pivot comes as demand for AI agents takes off. Meta’s Muse and Instinct are among the agents gaining traction, and companies like OpenAI are rethinking how apps work inside general chatbot interfaces. At its Dev Day, OpenAI announced an update to ChatGPT’s plugins that lets apps offer interactive experiences within ChatGPT, with the app’s name pinned more visibly on the sidebar.
Kuyda explained on X why the new experience makes more sense for consumers who want to do more than just type to an agent.
“The more you use a chat-only agent, the worse the experience gets. Your history and ongoing tasks end up buried in one endless scroll. People don’t just want to type-type-type; They want to tap-tap-tap, scroll, and look. They love what agents can do, but they also like software,” she wrote. “The most powerful agent will be the one that combines both.”
That insight drives the Wabi AI messenger’s design. Rather than forcing users into a single endless chat, Wabi 2.0 creates structure inside the conversation itself.
How Wabi 2.0 Works in Practice
The core idea is simple: when a user asks the agent to perform a task, it can create a user interface on demand to help complete that request.
Kuyda offered a few examples of what this looks like:
In a health-related thread, users could build a calorie tracker, a weightlifting log, and a weight tracker.
In a family-focused thread, users could create a calendar of the kids’ activities, a language learning app, an app that keeps up with local kid-friendly events, and other tools for parenting, household management, or the kids’ interests.
This approach keeps related tools inside the conversation where they’re needed, rather than scattered across separate apps. Each thread becomes a workspace tailored to a part of life.
“The future is your agent, your apps, and your people in one place, running the parts of life that matter most, together,” Kuyda wrote.
Competing in a Crowded Agent Market
The Wabi AI messenger enters a space where several major players are converging on similar ideas. OpenAI’s plugin update signals that chatbot interfaces are becoming platforms for interactive apps. Meta’s Muse and Instinct show that agent demand is shaping product roadmaps across the industry.
Wabi’s differentiator is the combination of conversation and on-demand interface building. Rather than choosing between a chat-only agent and traditional software, Wabi 2.0 aims to blend both. That positions it against agents that focus mainly on conversation, as well as against traditional productivity apps that lack an agent layer.
For users, the appeal is practical. Instead of juggling multiple apps and a separate chatbot, everything related to a topic lives in one place — the agent, the tools it builds, and the history of what you’ve done together.
Availability and Invite Codes
The new Wabi 2.0 app is currently only available by invite code. Those codes are being distributed on X.
For now, access is limited, which suggests the company is testing the experience with a smaller group before a broader rollout. That’s a common approach for AI products that need real-world usage to refine how agents behave.
What This Means for Wabi Users
If you used the original Wabi to build apps through prompts, the shift changes how you’ll interact with the product. The app-building capability remains, but it now lives inside a messaging-style agent that can generate interfaces as needed.
That could make the Wabi AI messenger more useful for ongoing tasks and personal organization, where a single chat thread holds related tools and history. It also positions the company to compete with the broader agent ecosystem rather than just the vibe-coding niche.
For anyone who liked the idea of building apps but found chat-only agents limiting, the new approach offers a middle ground. You still describe what you want in plain language, but you get software you can tap, scroll, and look at — not just text.
Wabi’s move from AI-powered app maker to AI messenger reflects where the market is heading. As agents like Meta’s Muse and Instinct gain users, and as OpenAI makes ChatGPT a home for interactive apps, combining conversation with on-demand software is becoming the central bet.
Kuyda’s framing is simple: people like what agents can do, but they also like software. The Wabi AI messenger is her attempt to deliver both in one place.
