The Superlinked Inference Engine, or SIE, is an open-source inference server on GitHub with about 3,416 stars under the Apache-2.0 license, actively developed in 2026. It solves a familiar production problem: an AI agent needs many different models, for embeddings, reranking, chat, transcription, vision, and more, and running a separate server for each one becomes a patchwork that is painful to operate.
SIE serves more than one hundred open models from a single self-hosted cluster behind one OpenAI-compatible API, with endpoints for embeddings, chat completions, completions, and responses, so migration from hosted APIs is close to drop-in. Its pre-configured catalog includes models such as Stella, SPLADE, Qwen3, GLiNER, and SigLIP, with embedding and retrieval models benchmarked on MTEB. Models load on demand and are evicted under an LRU policy, letting one cluster cover search and retrieval, document-to-markdown conversion, structured output, content safety, translation, transcription, and the agent loop itself. For production, it ships Kubernetes and Helm deployment configs, a load-balancing gateway, KEDA autoscaling, and Grafana dashboards, plus integrations with LangChain, LlamaIndex, Haystack, DSPy, CrewAI, and major vector databases. A Python SDK is published on PyPI for teams that prefer a client library, and because every task is served through the same gateway, authentication, scaling, and monitoring are handled once instead of separately for each model.
SIE itself is free and open source to self-host. Superlinked also offers a managed cloud platform with paid tiers for teams that prefer not to run the infrastructure themselves.
SIE is for platform and ML engineers consolidating model serving, and for teams building agents and RAG systems that need many specialized models behind one reliable API.