EnergeticAI

EnergeticAI is an open-source project that repackages TensorFlow.js for serverless and edge-style environments. In a serverless function, overall latency is usually dominated by cold start: loading the runtime and initialising a model can take seconds before any inference happens. EnergeticAI attacks that problem directly, cutting initialisation time dramatically and shrinking the module size so functions start and respond faster.

The project ships pre-trained models rather than only a runtime. English sentence embeddings let you build recommendations, semantic similarity, and search-style features, while English classifiers let you categorise text using just a handful of training examples. The documentation, API reference, and blog are all published alongside the code on the project's site and GitHub.

Because everything runs locally in Node.js, inference happens inside your own application instead of being sent to a third-party API, which is attractive for privacy-sensitive workloads. Installation is a single npm command and EnergeticAI is Apache 2.0 licensed, so it can be used commercially, though individual dependencies may carry different terms. Planned features include question-answering backed semantic search.