AIGET

Aiget is a term used in computing to describe tools and libraries that retrieve AI-generated content from multiple services through a single interface. In practice, aiget can refer to an open-source project that provides a command-line interface and a programming library, as well as to the broader class of tools designed to standardize access to AI endpoints.

The name combines AI, for artificial intelligence, and GET, reflecting the core operation of fetching data. Its usage varies across communities, with some projects branding themselves as 'aiget' or as 'AIGET' and adopting different scope and back-end designs.

Most implementations offer a modular backend with pluggable connectors for popular AI providers, support for authentication, rate limiting, and request retries. They typically expose a CLI that accepts service, endpoint, and parameter options, and a library API that returns structured results in JSON or other formats. Caching and concurrency controls are common to improve performance in data pipelines.

Developers use aiget to automate retrieval of responses from language models, image generators, or other AI services within workflows, tests, or research projects. The ecosystem ranges from lightweight scripts to larger adapters, with varying levels of documentation and maintenance.

Originating in the late 2010s as AI tooling expanded, the concept reflects a practical need to unify access to diverse AI services. Because there is no single standard, implementations are heterogeneous and project-specific.

See also: API client, HTTP client, AI service, data retrieval, automation scripting.