#174 · Primary category： LLM Application Frameworks
agency
🕵️♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.
Project last updated：01/08/25
GitHub Stars
514
Forks
36
Contributors
4
License
MIT
Why we included this project
Go developers who want to build on LLMs without dragging Python into their stack will find this library a natural fit. Its core lets you define operations, chain them into processes, and observe each step with interceptors, all using standard Go typing. The library separates business logic from provider details, so swapping models or adding custom operations doesn't force a rewrite. It already handles text, images, speech, and RAG-backed multimodal workflows, with autonomous-agent orchestration on the roadmap. If you're building a chat interface, an internal assistant, or a simple agent pipeline in Go, this is a lightweight, composable base worth trying.
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