serve vs awesome-llm-apps
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| serve | awesome-llm-apps | |
|---|---|---|
| Tagline | Build multimodal AI applications with cloud-native stack | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
| Stars | 22k | 117k |
| Forks | 2.2k | 17k |
| Open issues | 25 | 6 |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Mar 24, 2025 | Jun 15, 2026 |
| Categories | Model Training, Inference & Serving, Developer Tools | AI Agents, LLM Frameworks |
serve
Jina-Serve is a framework for building and deploying AI services that support gRPC, HTTP, and WebSockets communication. It offers native support for major ML frameworks, high-performance service design, built-in Docker integration, easy deployment to Jina AI Cloud, and Kubernetes compatibility.
Python
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