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Tracked since2026
0 reviews trackedThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
No coding required, build agents by describing what you want
Biggest con
Still in beta, features and stability may change
TL;DR - Dreamer
- AI agent platform where anyone can build personal agents without code
- Founded by ex-Stripe CTO with $50M funding, formerly /dev/agents
- Free open beta with cross-platform agents, built-in AI tools, and agent-to-agent orchestration
Pricing: Free plan available
Best for: Growing teams
What is Dreamer?
Dreamer is an AI agent platform that lets anyone discover, build, and remix personal AI agents without writing code. Formerly known as /dev/agents, it was founded by David Singleton (ex-Stripe CTO) and Hugo Barra with $50M in funding. Users describe what they want in natural language, and an AI agent called Sidekick builds it in minutes. Agents can execute in the background, communicate with each other, access tools like Google Workspace and GitHub, and generate rich UIs across web, iOS, Android, and Chrome extension. Dreamer includes built-in speech recognition, image generation, and real-time data sources. Currently in free open beta.
Pros & Cons
Pros
- No coding required, build agents by describing what you want
- Backed by $50M and built by ex-Stripe CTO and Hugo Barra
- Agents can communicate and compose with each other autonomously
- Rich built-in tools: speech, vision, image generation, web data
- Cross-platform availability including mobile widgets
- Currently free in open beta
Cons
- Still in beta, features and stability may change
- No public pricing yet for post-beta subscription
- Requires JavaScript, website shows blank page without it
- Agent quality depends heavily on prompt clarity
- Ecosystem of third-party tools and agents is still growing
Preview
Key Features
No-code AI agent building through natural languageSidekick AI that builds agents from plain-text descriptionsAgent-to-agent communication and orchestrationBuilt-in speech recognition and image generationGoogle Workspace, GitHub, and Linear integrationsReal-time data sources: sports scores, transit, showtimesCross-platform: web, iOS, Android, Chrome extensionPrivacy layer controlling per-agent data accessAgent Gallery for sharing and discovering community agentsPersistent databases and background execution for agents
Pricing
Freemium
Dreamer offers a generous free tier with optional paid upgrades for advanced features.
Reviews
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Dreamer FAQ
How does Dreamer enable users to create AI agents without code?
Dreamer allows users to build AI agents by simply describing their desired functionality in natural language. An AI agent named Sidekick then constructs the requested agent in minutes, eliminating the need for traditional coding.
Which teams would benefit most from using Dreamer?
Teams looking to automate tasks, integrate AI into their workflows without development resources, or rapidly prototype AI solutions would find Dreamer beneficial. Its no-code approach and cross-platform capabilities support various operational and creative teams.
What kind of integrations does Dreamer support for its AI agents?
Dreamer agents can access and utilize external tools such as Google Workspace and GitHub. This allows agents to perform actions and retrieve information from commonly used business applications.
How is Dreamer priced?
Dreamer is currently available on a free tier during its open beta phase. After the beta, it will offer paid plans designed for increased usage and additional features, though specific pricing details are not yet public.
Can Dreamer agents interact with each other?
Yes, Dreamer agents are designed to communicate and compose with each other autonomously. This capability allows for the creation of complex, multi-agent workflows where different agents collaborate on tasks.
What are the main trade-offs to consider when adopting Dreamer?
Dreamer is still in beta, meaning its features and stability may evolve. Additionally, the quality of an agent's performance heavily relies on the clarity of the user's prompt, and its ecosystem of third-party tools is still expanding.
How does Dreamer compare to Langflow for building AI agent flows?
Dreamer focuses on a no-code approach where users describe agents in natural language for an AI to build them, and agents can communicate autonomously. Langflow, while also facilitating agent creation, typically involves a more visual, component-based approach to designing flows.
Source: dreamer.com