OfficeOS: Open-Source Infrastructure for Deploying and Managing AI Agent Fleets
Key Takeaways
- ▸Complete open-source control plane for AI agent deployment, management, and observation with dashboard interface
- ▸Agent isolation with individual virtual environments, browsers, managed tools, and persistent memory storage
- ▸Model-agnostic architecture supporting multiple LLM providers (Anthropic, OpenAI, Google, xAI, and compatible)
Summary
OfficeOS is an open-source infrastructure platform for deploying, hosting, and managing fleets of AI agents in production environments. The platform provides a complete control plane with dashboard capabilities, allowing teams to launch agents on demand with isolated virtual environments, attached browsers, managed tools, and persistent memory across their infrastructure.
The infrastructure supports both Docker Compose for local development and Kubernetes for production deployments. Each agent receives its own isolated workspace with filesystem and shell access, browser capabilities for web automation, access to MCP servers for integrations, structured logging for observability, and scoped credential access. The system is model-agnostic, supporting LLM providers including Anthropic, OpenAI, Google, xAI, and compatible models.
OfficeOS is designed for self-hosters who want to run agent infrastructure on their own cloud, eliminating vendor lock-in while providing enterprise-grade management capabilities. The platform includes fleet scaling from single agents to hundreds, persistent memory storage, credential management, and a comprehensive dashboard for deploying, configuring, and monitoring agents across teams and environments.
- Self-hosted deployment options via Docker Compose and Kubernetes for production-scale operations
- Fast agent launch with structured logging, credential management, and multi-team environment support
