AIVAX provides a unified OpenAI-compatible gateway for running model inference, retrieval-augmented generation (RAG), tools, and moderation policies. It maintains a visible trail of requests, usage, and generation context so shared behavior and knowledge remain inspectable and reusable across applications. The platform is designed for developers building AI applications that require persistent memory, evolving instructions, and traceable operations without burdening client code.
AIVAX is an AI & ML project. It focuses on managing complex AI request flows with shared knowledge, tools, and traceable behavior across multiple applications. It is built as a B2B product for developers. It ships for the command line and API.
AIVAX Labs builds and maintains AIVAX, and it first shipped in 2025. Key capabilities include RAG retrieval, model inference, and usage tracking. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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