genkit vs awesome-llm-apps
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| genkit | awesome-llm-apps | |
|---|---|---|
| Tagline | Open-source framework for building full-stack AI apps in JavaScript, Go, and Python | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
| Stars | 6.2k | 117k |
| Forks | 779 | 17k |
| Open issues | 853 | 6 |
| Language | TypeScript | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jul 7, 2026 | Jun 15, 2026 |
| Categories | Developer Tools, LLM Frameworks | AI Agents, LLM Frameworks |
genkit
Genkit is an open-source framework developed by Google, enabling the creation of production-ready AI applications through multi-language SDKs and a unified interface to several model providers. It supports comprehensive capabilities such as multimodal content processing, structured output, tool calling, and agentic workflows.
TypeScript
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