awesome-llm-apps vs zenml
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| awesome-llm-apps | zenml | |
|---|---|---|
| Tagline | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. | One AI Platform From Pipelines to Agents |
| Stars | 117k | 5.5k |
| Forks | 17k | 632 |
| Open issues | 6 | 131 |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jun 15, 2026 | Jul 7, 2026 |
| Categories | AI Agents, LLM Frameworks | Model Training, Inference & Serving, LLM Frameworks |
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.
zenml
ZenML is a platform designed for ML or AI engineers working on traditional ML use-cases, LLM workflows, or agents. It enables writing and running pipelines across various infrastructure backends while managing code containerization, tracking metadata, simplifying infrastructure complexity, and integrating existing tools and services.