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SmythOS

lastmod 2026-02-06created 2026-02-062 edits

A cloud-native runtime for agentic AI

SmythOS Runtime Environment

SRE is an open-source runtime and SDK for production AI agents. It provides OS-level abstractions for AI resources—LLMs, vector databases, storage, and caching—with a unified API that works identically across all providers. Write your agent logic once, scale it anywhere. Built-in security, observability, and 40+ production-ready components included. The operating system layer AI agents have been missing.

Inspired by the architecture of operating system kernels, SmythOS provides a robust and scalable foundation for agent orchestration and lifecycle management, giving every builder the tools to act, not just imagine.

About

  • An open-source runtime environment built to be the OS layer for agentic AI, providing a secure, modular, and scalable cloud-native platform
  • Lets you build, run, and manage AI agents across local, cloud, and edge environments
  • Abstracts various AI resources such as LLMs, VectorDBs, storage, and caches behind a single API, so they are accessed the same way regardless of provider
    • e.g., provides a consistent interface for all resources such as local files, S3, Redis, OpenAI, and Anthropic
  • Consists of the Smyth Runtime Environment (SRE), SDK, and CLI, allowing AI agents to be created, run, and managed in code
    • Smyth Runtime Environment (SRE): the kernel for AI agents
      • Agent-First design; a runtime optimized for AI workloads
      • Modular architecture: connectors for every service can be swapped or extended (Storage, LLM, VectorDB, Cache, etc.)
      • Security-first: built-in access control and credential management through the Candidate/ACL system
      • Agent orchestration: full agent lifecycle management
      • Includes 40+ production-grade components: AI/LLM, data processing, external APIs, logic, storage, code execution, etc.
    • SDK: TypeScript-based, providing type safety and IntelliSense support
      • Keeps code consistent between development and production environments
      • No business logic changes needed when the infrastructure changes
    • CLI tool supports automated project initialization and management
  • Runs the same anywhere: cloud, local, or edge
  • Built-in observability provides monitoring, logging, and debugging
  • Key design principles
    • Simplify production-grade AI agent development
    • Coexistence of autonomy and control
    • Security built in
    • Toward an open internet of agents
  • MIT license
  • An open-source version of the visual agent IDE (SmythOS Visual Agent Studio) is planned for release

See also

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