agency vs awesome-llm-apps
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| agency | awesome-llm-apps | |
|---|---|---|
| Tagline | Library for exploring Large Language Models (LLMs) through a clean, effective, and Go-idiomatic approach | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
| Stars | 512 | 117k |
| Forks | 36 | 17k |
| Open issues | 4 | 6 |
| Language | Go | Python |
| License | MIT | Apache-2.0 |
| Last pushed | Jan 8, 2025 | Jun 15, 2026 |
| Categories | LLM Frameworks | AI Agents, LLM Frameworks |
agency
Agency provides developers with tools to create autonomous AI agents using a lightweight, statically typed language like Go. It includes OpenAI API bindings and enables users to build custom operations and processes with interceptors.
Go
awesome-llm-apps
A repository containing a collection of AI agent and Retrieval-Augmented Generation (RAG) applications that are ready to be cloned, customized, and deployed. The projects cover various aspects such as AI agents, always-on agents, multi-agent teams, RAG techniques, voice agents, fine-tuning for specific use cases, and more.
Python