A team of former Google Android executives has unveiled a startup named /dev/agent, aiming to build a cloud-based operating system that supports AI agents. This initiative looks to shift AI development into a new phase, offering a platform capable of running across a wide range of devices, from smartphones to connected cars and other smart hardware. The goal is to provide a cohesive foundation for intelligent agents to operate reliably, securely, and efficiently in everyday life.
Founders include Hugo Barra, who formerly led Google’s Android division, and David Singleton, who held a similar executive role. They are joined by Ficus Kirpatrick, previously Meta’s vice president of AR and VR, and Nicholas Jitkoff, known for ChromeOS design leadership. The quartet envisions an Android-like framework for AI, but one that centers on the needs of modern intelligent agents, emphasizing scalable APIs, modular components, and robust privacy safeguards that protect users while empowering developers.
AI agents are already in use by large players such as Microsoft and OpenAI, handling tasks with limited human input. The /dev/agent team aims to extend this concept by introducing new interaction paradigms and privacy-oriented models, rethinking how users engage with AI on daily devices and across contexts. The approach seeks to make AI agents more approachable, reliable, and respectful of user preferences while maintaining strong security controls as workloads migrate to cloud-native environments.
A major funding round is anticipated, with the intention of accelerating development and broadening opportunities for collaboration with industry partners. The creators of /dev/agent believe the platform could become a foundational layer for future AI technologies, making it easier for developers to build, test, and deploy sophisticated agents that can coordinate tasks across ecosystems and devices. This confidence reflects a broader industry trend toward agent-driven computing and cross-device orchestration, where software abstracts the complexities of AI workloads so end users experience seamless, intelligent interactions.
Reported by VG Times, the project has started drawing attention from investors and technology observers who see potential in unifying AI agents across device ecosystems and scaling their capabilities for real-world use.