sie
Sie is an open-source inference server and production cluster that simplifies the deployment of machine learning models for AI agents
- •When you need to deploy and manage multiple machine learning models for your AI agent
- •When you want to improve the scalability and reliability of your AI agent's model inference
- •When you need to integrate your AI agent with a production-ready inference server
sie client --model my_model --input 'What is the meaning of life?'
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/sie && curl -fsSL https://workflowstacks.com/api/skills/sie/claude-skill -o ~/.claude/skills/sie/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Sie is a very large Python project (~337k lines across 969 code files, plus 518 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2AGENTS.mdThe instructions the AI actually follows
- 3Cargo.tomlDependencies and the commands it exposes
- 4examples/README.mdA worked example — copy this to get going
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/sie && curl -fsSL https://workflowstacks.com/api/skills/sie/claude-skill -o ~/.claude/skills/sie/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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