The Complete AI Agent Operating System

SmythOS is the leading open-source provider of enterprise-grade AI agent infrastructure, designed to take teams from prototype to production with unprecedented speed and security. Whether you're building your first agent or deploying an autonomous workforce at scale, SmythOS provides the foundational infrastructure to build, run, and scale AI agents across any environment—cloud, on-premises, edge, desktop, or mobile.

Who It's For

SmythOS serves engineering teams, CTOs, and enterprises who need to move beyond simple AI experiments into production-ready autonomous systems. It's built for developers who want the flexibility of code combined with the speed of visual workflows, and for organizations that require enterprise-grade security, governance, and multi-tenancy from day one.

Key Features & Capabilities

• Visual Agent Studio: Drag-and-drop interface with Agent Weaver for no-code/low-code agent building, perfect for rapid prototyping and testing
• Agent SDK: Developer toolkit optimized for modern IDEs (Cursor, Windsurf) that lets you code agents 10X faster with pure code, workflows, or visual workflow skills
• Agent Runtime (SRE): Production-grade runtime with strict sandboxing, ACL enforcement, and state-of-the-art security that runs agents from cloud to edge
• Build Once, Deploy Anywhere: Single specification deploys to API, web chat, mobile, desktop, MCP Server, voice assistants, and more—eliminating vendor lock-in
• Enterprise Security: Built-in secrets management, encrypted storage, resource-level access control, and systematic governance with human-in-the-loop approvals
• Multi-Tenancy & Collaboration: Project spaces, role-based permissions, per-space key vaults, and team collaboration features designed for complex organizational structures
• Agent Teams: Create cooperative multi-agent systems where agents delegate, specialize, and collaborate autonomously
• Observability & Testing: Walk through each step of agent reasoning, inspect decisions, and monitor performance with comprehensive debugging tools

Typical Workflows

Teams use SmythOS to automate entire departments: customer support agents that handle inquiries 24/7, research assistants that process thousands of documents, operational agents that run on schedules, and bulk processing workflows that handle massive datasets with a single click. The platform supports chat interfaces for natural agent interaction, scheduled automation for recurring tasks, and project spaces that keep experiments organized while maintaining strict data isolation.

What Sets It Apart

Unlike frameworks that focus solely on building chains and workflows, SmythOS is a true Agent Operating System—providing the runtime infrastructure, orchestration, deployment, and governance that production AI workloads demand. It's open source (MIT license) with the Runtime Environment, CLI, SDK, and Visual Studio all available on GitHub, democratizing enterprise AI agent development. Integration shouldn't fragment your stack: SmythOS provides a unified connector layer so all agents share the same drivers for models, APIs, and tools.

With over 20,000 developers already building on the platform and deployment options ranging from free Docker images to hosted SaaS to on-premises enterprise installations on AWS and Azure, SmythOS eliminates the gap between prototype and production.