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AIAppsOpenAITech

The ChatGPT app store is live and developers can now build inside chat

ChatGPT now hosts apps and that’s a big deal for the internet.

By
Shubham Sawarkar
Shubham Sawarkar's avatar
ByShubham Sawarkar
Editor-in-Chief
I’m a tech enthusiast who loves exploring gadgets, trends, and innovations. With certifications in CISCO Routing & Switching and Windows Server Administration, I bring a sharp...
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Dec 20, 2025, 5:15 AM EST
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Screenshot of ChatGPT’s new Apps (Beta) interface showing an in-chat app directory, with a featured “Create with Canva” banner at the top and a list of apps below including Apple Music, Booking.com, Expedia, OpenTable, Spotify, and Tripadvisor, along with category tabs for Featured, Lifestyle, and Productivity and a search bar for apps.
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OpenAI has quietly started turning ChatGPT into more than a chatbot: it’s now an app platform. This week, the company pushed an App Directory into the ChatGPT interface and opened up an Apps SDK so outside developers can build experiences that run directly inside the chat window. The change is small on the surface — a new “apps” view tucked into the tools menu and a developer submission flow — but it’s the kind of product move that rewires how people think about a service: from single-session assistant to a place where third-party services can live and be discovered inside a single conversational surface.

That matters because ChatGPT already sits where a lot of users start online: in the browser, on phones, as a habit. By giving developers a sanctioned way to put interactive widgets and linked functionality into that space, OpenAI is offering a shortcut around the old choreography of web life — open a tab, sign into a service, wrangle its interface, repeat. The new apps run inside iframes and can expose “tools” — little programmatic hooks that let the chat hand off tasks to the app and get structured results back. In practice, that means tasks that would once send you to five different sites (plan a trip, cobble together a grocery list, book a table) can be routed straight through a single conversational flow.

What used to be called “connectors” — the plumbing that allowed ChatGPT to reach into a user’s Google Drive or Dropbox — have been reorganized and relabeled as apps, with clear subtypes depending on what they do (file search, deep research, sync). That rebrand is more than cosmetics: it clarifies expectations for developers and users about the degree of integration and what an app is allowed to do inside a conversation. Apps that the user enables can also tie into ChatGPT’s Memory feature, so behaviors and preferences persist across sessions instead of starting from scratch each time. OpenAI also flags that app activity may be used to improve models if a user opts into the “improve the model for everyone” setting — a reminder that any platform that centralizes lots of third-party data also centralizes a lot of product-level tradeoffs.

Big consumer names are already demonstrating what this looks like in everyday use. Spotify’s ChatGPT app — which had been rolling out throughout the year — is now available in more markets and lets logged-in users ask the chat to find songs, build playlists, or surface podcasts without leaving the conversation. Apple Music appears in the directory too; its app can search the catalog, generate playlists, and, for subscribers, manage items in their libraries from inside the chat. DoorDash has taken a slightly different tack: its new grocery app turns recipe ideas or weekly shopping lists into a ready-to-checkout cart. Those examples show the range of possibilities — discovery (music), account-driven personalization (your library), and commerce (groceries delivered).

That functional diversity is the point: the chat becomes an orchestration layer. Ask ChatGPT for dinner ideas, and behind the scenes, an app could suggest recipes, add needed groceries to a DoorDash cart, and schedule the delivery — all inside one back-and-forth. For users, this feels convenient; for developers, it’s an attractive distribution channel. For platform owners, it’s strategic: whoever sits between users and the services they use becomes remarkably powerful. It’s also where the familiar platform questions come front and center — discovery (how do apps get surfaced?), neutrality (who pays for placement?), safety and privacy (how are user tokens and files handled?), and governance (what moderation and quality rules apply?).

OpenAI’s public messaging so far leans on experimentation rather than a fully baked commercial thesis. The company says it’s “exploring additional monetization options over time, including digital goods,” but the exact business model — whether it’ll be app store-style revenue shares, placement fees, subscriptions, or a new form of microtransactions inside chats — is still being worked out. That ambiguity is normal at this stage, but important: an app directory without transparent developer economics risks recreating the uneven marketplace problems we’ve seen on mobile and web platforms. How OpenAI balances openness with control — and how it shares economic value with third parties — will shape whether this becomes a bustling ecosystem or a curated storefront with only a handful of winners.

There are real benefits here, particularly if OpenAI can keep the integration experience smooth. Developers get a standard SDK and a submission path that leads to a directory inside a product millions already use; users get fewer context switches and potentially richer, more capable sessions. But there are also obvious risks: consolidated access to user accounts and files raises the stakes for data governance, and the temptation to favor partner apps could undercut competition. The immediate rollout — a mix of big brand partners and smaller developers plugging in through the SDK — will be a live test of whether the platform gives users genuine choice or funnels them toward whatever is promoted.

For product watchers, the launch is a useful case study in platform playbooks. The technical pieces are there: an SDK built on a Model Context Protocol, web components served in iframes, and an app review/submission process that mirrors older app store models. The human pieces are harder: trust, discoverability, fair economics, and the user experience of mixing human chat with transactional app logic. If OpenAI nails the mix, ChatGPT could become a default place to orchestrate many everyday digital tasks; if it flubs the governance or economic model, the directory risks becoming a noisy corridor where only the loudest or deepest-pocketed apps thrive.

At the moment, the ChatGPT app directory feels a bit like a freshly opened mall: bright storefronts, early anchors, and plenty of empty kiosks. It’s easy to imagine a future in which asking a single chat window to “organize my week” actually triggers a handful of specialized apps that coordinate calendars, travel, groceries, and entertainment. It’s also easy to imagine friction — authentication hurdles, mismatched UX between apps, and unresolved questions about data use. The next few months of developer submissions and user behavior will tell us which of those futures is more likely. For now, the core lesson is simple: ChatGPT has stopped being only an assistant and is trying on the trappings of a platform — and platforms change the rules of the game for everyone who builds on, or competes with, them.

If you’re a developer wondering whether to build for this new canvas, OpenAI has already posted the SDK docs and a submission flow; if you’re a user curious about the apps you’ll find there, the directory is discoverable from the tools menu or at chatgpt.com/apps. Either way, the most interesting thing about this app store isn’t that it exists — it’s the way it will shape how we expect software to behave inside a conversation.


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