SmythOS

SmythOS is an open-source operating environment for building and running production AI agents, pairing a visual agent studio with a developer runtime, SDK and CLI. (★ 4.9 on Capterra)

Overview

Calling itself “the Linux of AI agents”, SmythOS provides the infrastructure layer that agent builders usually have to assemble themselves. Its Smyth Runtime Environment (SRE) abstracts LLMs, vector databases, storage and caching behind one unified API that behaves identically across providers, so agent logic is written once and can run locally, in the cloud or at the edge. Non-technical users can start in the drag-and-drop Visual Agent Studio, while developers get a TypeScript SDK and a CLI for code-first agents. Security is built in through an access-control system that governs exactly what every agent is allowed to touch, and observability is included from the start. Ready-made examples and code templates help teams go from installation to a running agent in minutes, and agents can be shared and reused as portable .smyth files across projects and environments.

Key Features

• Visual drag-and-drop Agent Studio for no-code agent building and debugging
• Open-source runtime (SRE) with unified APIs across LLM, vector database, storage and cache providers
• Connectors for OpenAI, Anthropic, Google AI, AWS Bedrock, Groq, Pinecone, Milvus and more
• 40+ production-ready components for AI, data processing and integrations
• SDK and CLI to build, import and run agents from code using .smyth files
• Built-in access control, secure credential vaulting and observability
• Deploy agents anywhere: local machines, cloud or edge environments
• Active open-source community with documentation, tutorials and examples

💳 Pricing

The SmythOS Runtime Environment, SDK and CLI are free and open source under the MIT license, so you can self-host at no cost. Hosted and enterprise arrangements are available from the SmythOS team on request. Pricing page not published; contact sales.

Who Is It For

Developers and technical teams building production AI agents, and operations teams that want a visual studio for agent workflows without surrendering control of their infrastructure, providers or data.