SmythOS SRE (Smyth Runtime Environment) is an open-source runtime and development platform designed for building and operating production-grade AI agents. It provides a foundational infrastructure layer that functions similarly to an operating system for agentic AI systems, managing resources such as language models, storage, vector databases, and caching through a unified interface. Developers can use the runtime to create, deploy, and orchestrate intelligent agents across local machines, cloud environments, or hybrid infrastructures without rewriting their application logic. The platform includes a software development kit and command-line interface that allow developers to define agent workflows, manage execution environments, and automate deployment processes. SRE is designed with modular architecture so that connectors to external services or infrastructure providers can be swapped or extended without changing the agent’s core logic.

Features

  • Cloud-native runtime environment for building and running AI agents
  • Unified API for accessing LLMs, vector databases, storage, and caching
  • Modular connector architecture for integrating external services
  • Command-line interface and SDK for agent development and deployment
  • Built-in monitoring, logging, and debugging for agent workflows
  • Security and zero-trust access controls for managing agent resources

Project Samples

Project Activity

See All Activity >

License

MIT License

Follow SmythOS

SmythOS Web Site

Other Useful Business Software
Try Google Cloud Risk-Free With $300 in Credit Icon
Try Google Cloud Risk-Free With $300 in Credit

No hidden charges. No surprise bills. Cancel anytime.

Use your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of SmythOS!

Additional Project Details

Programming Language

TypeScript

Related Categories

TypeScript Large Language Models (LLM)

Registered

2026-03-09