Companies

/dev/agents

sdsa.ai

Cloud-based developer platform and operating system for building trusted AI-agent experiences across devices.

HQSan Francisco, California, United States
Employees1-10
Funding$56M
Profile 6mo agoJobs checked 3h ago
AI / MLAI ApplicationB2B SaaSSeed$50M-$200M

About

/dev/agents is building a cloud-based operating system and developer platform for trusted AI agents, aimed at developers creating robust consumer experiences. Its differentiation is an agent-oriented operating system designed to let users work with AI agents across devices, rather than offering only a standalone agent or model.

Market

/dev/agents competes in the emerging AI-agent operating-system and agent-platform market, spanning consumer personal assistants and developer infrastructure for agentic applications. Its differentiation is a consumer-first experience combining discovery, natural-language building, a personalized Sidekick, cross-device continuity, and full agentic apps with their own tools, memory, databases, serverless functions, and workflows. This positions it beyond narrower workflow builders or single-task agents, while bringing it into competition with developer platforms and major technology companies embedding autonomous agents into their products.

Target Customers

The platform targets two connected audiences: consumer end users—especially people seeking personal productivity and information-management help—and developers or product teams building consumer-facing agentic applications. Its intended go-to-market is B2B2C, serving both agent builders and the end users who interact with their agents.

At a Glance

Problem

Most software is still organized around apps, screens, and one-off chatbot conversations, forcing users to navigate among tools and repeatedly restate their preferences, history, and intent. /dev/agents targets the more ambitious problem of making software act collaboratively on a user’s behalf: instead of manually coordinating travel research, bookings, calendars, shopping, or other workflows, a user could delegate a complex goal to a group of specialized agents. The core economic opportunity is to capture value from completed transactions, although running persistent agents is compute-intensive and requires substantial cloud and AI-inference investment.

The clearest illustrative use case is a request such as “Plan my vacation to Hawaii.” Rather than returning a single conversational answer, the system could coordinate agents that search flights within budget, arrange lodging, and suggest activities while maintaining a shared understanding of the user. This addresses the pain of fragmented software and context switching while potentially creating a new commerce channel around agent-completed transactions.

Product / Service

/dev/agents describes itself as a next-generation operating system and developer platform for AI agents. Its cloud-based infrastructure is intended to let developers build and deploy agentic applications, coordinate multiple specialized agents, and provide new interface patterns that adapt to the user’s context rather than forcing every task through a conventional app or chat window.

The proposed experience is device-agnostic and continuous: a user might begin a task on a laptop, review it on a phone, and interact by voice in a car, with agents sharing the same user context across those environments. The business model is described as B2B2C, serving both developers and end users, with potential monetization through subscriptions and commissions on transactions completed by agents.

Market

/dev/agents competes in the emerging AI-agent infrastructure, agent-development-platform, and agentic operating-system categories. Its positioning is broader than a single assistant: it aims to become an ecosystem layer for agent creation, coordination, interfaces, and potentially an agent marketplace. Identified alternatives include OpenAI, LangChain, and n8n; Inflection AI’s Pi is a more vertically focused assistant-oriented comparison rather than a direct platform equivalent.

The company raised a reported $56 million seed round at a $500 million post-money valuation in November 2024. A third-party listing reports $36 million in 2025 ARR, but that figure is not corroborated by the primary company or investor material reviewed, so funding and valuation are more reliable indicators of traction than revenue. As of August 1, 2026, /dev/agents’ jobs page says that the Dreamer team joined Meta Superintelligence Labs and that the company is no longer hiring directly; Crunchbase likewise labels Dreamer as acquired by Meta, making its standalone operating status an important qualification to any current market assessment.

Founders & Leadership

David SingletonFounder
Co-founder & CEO
Hugo BarraFounder
Co-founder, Product
Ficus KirkpatrickFounder
CTO
Nicholas JitkoffFounder
Co-founder, Design

Funding History

2024-11
Seed$56M

Index Ventures, CapitalG

Recent News

2026-02-18product
Dreamer lets anyone build AI agents

The Neuron featured Dreamer, the product associated with /dev/agents, in a dated AI-news roundup. The company's official site describes /dev/agents as building a next-generation operating system for AI agents and more capable applications.

2026-02-17product
/dev/agents is out of stealth as Dreamer

A February 17, 2026 announcement stated that /dev/agents had emerged from stealth under the name Dreamer and characterized it as an ambitious full-stack consumer and coding-agent startup.

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Business Model

The company has publicly described a model based primarily on transaction fees and subscriptions. The available evidence does not disclose detailed pricing or the specific transaction flows involved.

Products

Dreamer personal agent operating systemSidekick personal agent that helps users customize and build experiences through natural languageAgent Studio for building agentic applications and sub-agentsCommunity Gallery for discovering, sharing, and using agents and agentic apps

Tech Stack

LLM-based agent reasoning and orchestrationCloud-based virtual-machine executionMCP-compatible tool integrationsPortable memory and shared user contextTriggers and notificationsPer-agent databasesServerless functionsWorkflow logging

Competitors

CrewAI
Relevance AI
LangGraph
Microsoft Copilot Studio
OpenAI Operator
Manus
Google Gemini Spark

Key Investors

Index Ventures, CapitalG