aire-ai is a Python library that offers a unified interface for creating, evaluating, and deploying AI agents and systems. It supports LLM orchestration, RAG pipelines, workflows, and evaluation tools in a consistent manner from prototype to production. It is designed for developers building AI applications who want to avoid framework fragmentation.
aire-ai is an AI & ML project. It focuses on building and deploying AI agents and RAG systems without juggling multiple incompatible frameworks and interfaces. It is built as an open-source project for developers. aire-ai is open source under the Apache-2.0 license. It ships for the command line and API.
Behind aire-ai is desenyon, and it first shipped in 2026. The project is developed in the open on GitHub with 173 commits in the last 90 days. Among its 5 catalogued features are Agent Framework, LLM Workflows, and RAG Support. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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