axiom-aether is an open-source CLI tool providing online test-time-training inference and a self-healing runtime for AI models. It enables adaptive inference and runtime correction, supporting advanced AI research and deployment scenarios. Suitable for developers and researchers in machine learning.
axiom-aether sits in PulseGate's Other AI category. It focuses on automating online test-time-training and runtime self-healing for AI inference workflows. It is built as an open-source project for AI researchers and developers needing adaptive inference tools. The project is open source (Apache-2.0). It runs on the command line, and it can be self-hosted.
Behind axiom-aether is fernandogarzaaa, and it first shipped in 2026. Development happens publicly on GitHub with 290 commits in the last 90 days. Key capabilities include test-time training, self-healing runtime, and CLI interface.
Summary written by a language model from the project’s public pages.
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