OfficeOS: Open-source infrastructure for scaling and managing AI agents (github.com)

OfficeOS has launched a new open-source infrastructure designed for the deployment and management of AI agents across various platforms. This innovative stack allows users to self-host and rapidly launch agents equipped with their own virtual environments, attached browsers for web workflows, and tools for automation, all while maintaining persistent memory for context and credential management. The central dashboard serves as the control plane, enabling seamless deployment, configuration, and monitoring of agents, making it suitable for both individual and fleet-scale operations. The significance of OfficeOS lies in its potential to democratize access to advanced AI agent capabilities, providing teams with the tools necessary to scale their AI implementations effectively. Its model-agnostic approach allows users to integrate their preferred large language models (LLMs) from providers like OpenAI, Google, and others. Technical features such as structured logging, isolated workspaces, and easy deployment via Docker or Kubernetes enhance its functionality, ensuring that teams can operate complex AI workflows more efficiently while retaining full control over their infrastructure.