#809 · Primary category: AI Agents & Automation

sre

agent-framework agents agi ai ai-agents artificial-intelligence autogpt autonomous-agents chatgpt langchain llm llmops mcp multi-agent multi-agent-systems n8n openai orchestration rag retrieval-augmented-generation

The SmythOS Runtime Environment (SRE) is an open-source, cloud-native runtime for agentic AI. Secure, modular, and production-ready, it lets developers build, run, and manage intelligent agents across local, cloud, and edge environments.

Project last updated:04/03/26

GitHub Stars

1.3K

Forks

202

Contributors

23

License

MIT

Why we included this project

Most agent frameworks stop once you have built the agent; running those agents reliably in production is the harder part, and that is where SmythOS SRE focuses. It is a runtime kernel plus an SDK and CLI that handle the full lifecycle, from orchestration to credential management, behind one API that abstracts LLMs, vector stores, storage, and caching. Because that API behaves the same across OpenAI, Anthropic, Bedrock, and other providers, you can write agent logic once and switch infrastructure without rewriting business code. The runtime is modular, with pluggable connectors and built-in access control, and it deploys the same way on a laptop, in the cloud, or at the edge. Code-first teams get CLI scaffolding and a typed SDK; the companion visual studio serves those who prefer drag-and-drop building.

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