Inference server for AI agents
Developed by Superlinked, SIE is an open-source inference server and production cluster used to run the models required by AI agents. This Python-based structure aims to manage complex model deployments and provide a scalable infrastructure.
Updates
- September 4, 2026: Stars 3,157 → 3,198, latest release v0.7.3 (September 3, 2026).
- September 3, 2026: Stars 3,155 → 3,157, latest release v0.7.2 (August 27, 2026).
What you get
- Manages open-source models through a single cluster
- Provides easy integration thanks to its OpenAI-compatible interface
- Supports tasks such as search, data extraction, and text generation
Installation
pip install sie-sdk # Python
npm install @superlinked/sie-sdk # TypeScript (pnpm and yarn work too)Running it
curl http://localhost:8080/v1/embeddings \
-H 'Content-Type: application/json' \
-d '{"model": "sentence-transformers/all-MiniLM-L6-v2", "input": "Hello world"}'
# {"object": "list", "data": [{"object": "embedding", "embedding": [-0.0344, 0.0310, ...If you don't write code
I want to run a model for an AI agent via the SIE server. How can I manage the tasks my agent needs, such as search, data extraction, and text generation, through a single API? How can I configure the embedding creation and text generation processes using the OpenAI-compatible endpoints provided by SIE?
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-09-03: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. This page was machine-translated from the Turkish original · the Turkish version prevails.