SIE

Overview

SIE is an open-source inference server and production cluster for serving models that agents need. It is written in Python and maintained by the community. It provides a runtime for deploying and managing model inference in agent-based systems.

Best for

Best for
Developers building self-hosted inference infrastructure for AI agents

Use cases

• Deploy models for AI agents in production
• Run a self-hosted inference cluster
• Manage model serving for agent workloads

Notes

SIE is an open-source inference server and production cluster for serving models that agents need. It is written in Python and maintained by the community. It provides a runtime for deploying and managing model inference in agent-based systems.

3,353 stars on GitHub. Last updated 2026-10-01. Licensed Apache-2.0.

Use cases

• Deploy models for AI agents in production
• Run a self-hosted inference cluster
• Manage model serving for agent workloads

Pros

• Open source with an active community
• Written in Python, easy to integrate
• Designed for production agent use

Cons

• Limited documentation or feature details available
• Community support may vary
• No clear enterprise backing

Indexed from awesome-llmops and enriched against its public facts.