SmythOS/sre

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.

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00-creating-agents

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SmythOS/sre

Agent

The SmythOS SDK offers flexible ways to create and configure agents. This guide covers everything from basic agent creation to advanced model configuration.

1.3k 5mo ago A 0 tokens original MIT

01-skills

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SmythOS/sre

Agent

Skills are the building blocks that give agents their capabilities. Each skill is a function that the agent's LLM can decide to call based on the user's prompt.

1.3k 5mo ago A 0 tokens original MIT

02-agent-modes

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SmythOS/sre

Agent

Agent modes are pluggable execution strategies that augment how an agent processes and responds to tasks. Each mode adds specialized capabilities through additional behavior (system prompt) instructions and hidden skills, all managed transparently by the SDK.

1.3k 5mo ago A 0 tokens original MIT

03-planner-mode

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SmythOS/sre

Agent

Planner mode gives an agent systematic planning capabilities. When the agent receives a complex or multi-step task, it will create a structured plan, track each step's progress, and verify completion before finishing.

1.3k 5mo ago A 0 tokens original MIT

04-worker-mode

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SmythOS/sre

Agent

Worker mode allows an agent to dispatch complex, long-running tasks to background "copy" agents while the main agent stays fully interactive. When a worker finishes, its result is automatically surfaced back to the user through the main agent's conversation.

1.3k 5mo ago A 0 tokens original MIT