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2026-03-21AI agentsno-codeDreamerAI automationproductivity

Dreamer just launched an app store for AI agents — no code needed

Ex-Stripe CTO built a platform where anyone can build and share AI agents by just describing what they want. $56M raised, $500M valuation.


What if you could build your own AI assistant just by describing what you want — no coding, no technical setup? That's exactly what Dreamer does, and it just opened its doors to the public.

Built by David Singleton (former CTO of Stripe) and Hugo Barra (former VP at Meta and Xiaomi), Dreamer is a platform where you can discover, build, and share AI agents — like an app store where every app is powered by AI and can talk to every other app.

Dreamer dashboard showing AI agents

Tell your Sidekick what you want — it builds the agent for you

At the center of Dreamer is a personal AI called the Sidekick. Think of it as a master assistant that can create other assistants. You describe what you need in plain English, and the Sidekick plans, builds, and publishes a fully working AI agent — complete with its own database, scheduling, and integrations.

For example: say "I want an agent that tracks my favorite recipe websites and organizes them by cuisine." The Sidekick creates that app, connects it to the web, and lets you interact with it through chat, email, or your phone.

Building an AI agent in Dreamer by describing what you want

Dreamer at a glance

$56 million — seed funding (co-led by CapitalG and Index Ventures)

$500 million — company valuation

100+ tools — built-in integrations (Gmail, Google Search, GitHub, sports scores, transit data)

Zero code — required to build or use agents

Andrej Karpathy — among the angel investors

Agents that recruit other agents

What makes Dreamer unusual is that agents can automatically call on other agents. One early user built a news-tracking agent that noticed interesting articles, sent them to a separate read-it-later agent, which generated audio summaries and posted them to Slack — all without the user setting up any of those connections manually.

The company describes it as "software that rewrites itself at runtime" — agents can spawn temporary sub-agents to solve specific problems, then discard them when done.

Dreamer gallery of community-built AI agents

Who this is actually for

If you're a small business owner or freelancer: Build an AI that handles appointment scheduling, customer follow-ups, or invoice tracking — tailored exactly to how you work.

If you're a content creator or marketer: Set up agents that monitor competitors, summarize industry news, or draft social media posts based on trending topics.

If you're a developer: Dreamer's full-stack platform includes a TypeScript SDK (a set of programming tools), database management, and version control. You can download your agent's code and edit it in your preferred coding environment.

Where you can use it

Dreamer runs everywhere: web (dreamer.com), Chrome extension, iOS (via TestFlight), and even through email — you can forward tasks to your Sidekick's inbox and it handles them.

For tool builders, there's a revenue-sharing model: if your integration gets used by other people's agents, you earn money. Dreamer is also running a $10,000 prize for the best new tool submitted by mid-April.

Dreamer agent editor with code preview

The 40-year dream that finally has the tech to work

In Singleton's launch post, he traces Dreamer's vision back to Xerox PARC's Smalltalk in the 1970s — the idea that regular people should be able to customize their software, not just use what programmers give them. Previous attempts (HyperCard, Yahoo Pipes, Visual Basic) all failed because the technology wasn't ready.

Now, with large language models (the AI behind tools like ChatGPT and Claude), that dream is finally practical. As Singleton puts it: users no longer need to learn programming — they just need to describe what they want.

With $56 million in funding, a $500 million valuation, and backing from AI leaders like Andrej Karpathy and Alexandr Wang, Dreamer is betting that the future of software isn't apps — it's agents you build yourself.

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