Key Moments
Dreamer: the Agent OS for Everyone — David Singleton
Latent Space PodcastKey Moments
Dreamer is an OS for AI agents, enabling consumers to build, discover, and use AI apps.
Key Insights
Dreamer acts as an operating system for AI agents, providing a secure and integrated platform for consumers.
The platform allows users to discover, build, and use AI agents and agentic applications, regardless of technical background.
A core 'Sidekick' agent personalizes the user experience, helps manage other agents, and facilitates app building.
Dreamer features a gallery of community-built agents, a robust 'tools' layer for essential functions, and an 'Agent Studio' for creation.
Tool builders can monetize their contributions, and a 'Builders in Residence' program encourages creative development.
The platform emphasizes privacy and security, treating agents and apps like users within different security rings of an OS.
THE VISION BEHIND DREAMER
Dreamer is presented as a consumer-focused platform designed to democratize the creation and use of AI agents and agentic applications. Founded by individuals with deep experience in mobile OS development (Android) and large-scale payment systems (Stripe), the vision is to make powerful AI accessible to everyone, regardless of technical expertise. The platform aims to solve the accessibility and trustworthiness issues inherent in current AI technologies, creating a secure environment akin to an operating system.
CORE COMPONENTS AND USER EXPERIENCE
At the heart of Dreamer is the 'Sidekick,' a personalized agent that assists users across their daily activities. Users can name and customize their Sidekick's personality. The platform integrates a dashboard for managing agents, a feed to see agent activity, and widgets for quick access to app functions. A key feature is the 'gallery,' where users can discover and install agents built by the community, ranging from personal productivity tools to information management solutions.
BUILDING BLOCKS: TOOLS AND AGENTS
Dreamer's functionality is built upon a 'tools' layer that provides access to high-quality data and actions, including integrations with services like Google Search and Gmail, as well as specialized live data feeds for sports. Crucially, Dreamer is open to third-party tool builders, who can contribute their own tools to the platform and even earn revenue based on usage. Agents and agentic apps are then built using these tools, with the 'Agent Studio' providing an environment for their creation, guided by the Sidekick.
THE AGENT STUDIO AND DEVELOPMENT PROCESS
The Agent Studio allows users to build their own AI applications through natural language conversations with the Sidekick. The development process involves the Sidekick creating a plan, building the agent, and testing it. For more technically inclined users, an IDE is available to inspect and modify the generated code and prompts. Dreamer hosts all developed applications, eliminating the need for users to manage infrastructure, and allows for easy sharing and collaboration.
ECOSYSTEM AND MONETIZATION
Dreamer is positioned as a robust ecosystem that benefits all participants. Tool builders are compensated for their contributions, and the platform is exploring monetization options for agent creators. The 'Builders in Residence' program, inspired by the Lego Master Builder concept, actively seeks creative individuals to develop novel applications. A significant incentive for tool builders is a $10,000 prize for the best new tool by mid-April, aiming to foster community-driven innovation.
PRIVACY, SECURITY, AND MEMORY
Privacy and security are paramount, with the Sidekick acting as a 'traffic cop' to ensure agents operate within user-defined permissions and interests, functioning like an operating system's kernel. The platform handles user data securely, ensuring that agents access information only with explicit consent. Memory is a critical component, with the Sidekick building a long-term memory of user preferences and history to personalize agent recommendations and actions. While initial approaches involved vector databases and RAG, Dreamer has evolved its memory systems to continuously improve user experience.
TECHNOLOGICAL DEPTH AND FLEXIBILITY
Dreamer utilizes state-of-the-art AI models, abstracting the complexity of model selection for users. The platform offers a powerful SDK and a CLI for developers, allowing them to build agents directly or use their preferred tools like Cursor or CloudCode. TypeScript is highlighted as the primary language for building agentic experiences due to its strong typing, which aids in debugging and collaboration with coding agents. The system provides version control, workflow monitoring, and unique SQLite databases for each agent, all hosted and managed by Dreamer.
THE ROLE OF THE TEAM AND FUTURE OF AI
The Dreamer company operates with a lean, high-talent-density team, emphasizing the power of small, focused groups. They leverage their own tools, including coding and marketing agents, to accelerate their operations. Hiring focuses on engineers adept at collaborating with AI agents rather than solely traditional coding. The company anticipates future advancements in LLMs, particularly in areas like taste, creativity, and individuality, which are currently not inherent in the models, suggesting a frontier for human-driven AI development.
Mentioned in This Episode
●Software & Apps
●Companies
●Organizations
●People Referenced
Common Questions
Dreamer is a new AI platform that allows anyone, regardless of technical background, to discover, build, and use AI agents and agentic apps. It aims to make intelligent software accessible for solving everyday problems.
Topics
Mentioned in this video
A platform designed for consumers to discover, build, and use AI agents and agentic apps. It aims to be accessible to everyone, regardless of technical background.
A payment processing solution from Stripe. Dreamer uses Stripe Connect to facilitate agentic commerce and payments within its platform.
A tool available on Dreamer that produces spectacular infographics and painterly images, showcasing advancements in image generation.
Mobile operating system. David Singleton and his co-founders worked on Android at Google in its early days, building core pieces and the Play Store ecosystem.
A podcast app where the daily briefing podcast generated by Calendar Hero can be listened to.
A tool published on the Dreamer platform that provides live snow conditions for ski resorts.
An AI-first code editor. It's mentioned as an option for engineers to use the Dreamer SDK on their local machines.
Ecosystem for third-party developers on Android. The founders drew parallels between the Play Store's success and their vision for Dreamer's agent app store.
A personal finance agent tool built by a community member and available on Dreamer, using Plaid to analyze purchases and manage money.
A lightweight, file-based database system. Dreamer spins up a unique SQLite database for each agent, handling multi-user access and permissions.
A hypothetical tool name suggested for SEO purposes on the Dreamer platform. It appears first alphabetically in the connected tools list.
An agentic app available on Dreamer that provides a daily briefing podcast and researches information for upcoming meetings.
A financial technology company. A tool named Attain Finance uses Plaid to securely access financial data for personal finance agents on Dreamer.
An AI music generation platform. Its impressive capabilities in creating music that is hard to distinguish from human-made tracks are highlighted.
A programming language. Mentioned as David Singleton's preferred language for personal coding but TypeScript is favored for Dreamer's stack.
A specific LLM model used by Dreamer. Haiku 45 was chosen for generating the conference schedule because it was high quality and fast.
A programming language. It's highlighted as the best language for building agentic experiences on Dreamer due to its strong typing and vast training data.
A version control system. Dreamer uses its own internal versioning system, which is more efficient than Git for agent manipulation, though Git is used for platform source code.
A tool for collaborative coding. It's mentioned as an option for engineers to use the Dreamer SDK on their local machines and is used in interviews.
Technology company. David Singleton and his co-founders worked on Android at Google in its early days.
A major AI research laboratory. Greg Brockman, mentioned as a speaker at the AI Engineer conference, is from OpenAI.
An online grocery delivery service. Dreamer allows for branded tools like the Instacart tool to be used for specific grocery shopping preferences.
A partner company providing a premium agentic web research tool on the Dreamer platform, which is pay-per-use.
A financial infrastructure platform. David Singleton was previously CTO at Stripe and worked with early AI agent systems there.
An AI safety and research company. Mentioned in the context of LLM-driven code review, with Dreamer having developed similar capabilities in-house previously.
A tool that was recently added to Dreamer, which can connect meeting commitments to to-do lists, enabling automated task completion.
A web-based platform for version control using Git. Its potential obsolescence is discussed in the context of Dreamer's native revision system.
Founder of DeepLearning.AI and Landing AI. His known interest in self-completing to-do lists is mentioned in the context of Dreamer's capabilities.
Co-founder of OpenAI. Mentioned as a speaker at the AI Engineer conference, with his session added to a custom schedule.
Co-founder of Microsoft. His quote about platforms creating more value for participants than the platform itself is cited.
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