awesome-llm-apps vs deep-searcher
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| awesome-llm-apps | deep-searcher | |
|---|---|---|
| Tagline | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. | Open Source Deep Research Alternative to Reason and Search on Private Data |
| Stars | 117k | 7.9k |
| Forks | 17k | 767 |
| Open issues | 6 | 53 |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jun 15, 2026 | Nov 19, 2025 |
| Categories | AI Agents, LLM Frameworks | Vector Databases, AI Agents, Data & Retrieval, LLM Frameworks, Inference & Serving |
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
deep-searcher
DeepSearcher leverages advanced LLMs and Vector Databases for private data search, evaluation, and reasoning. It is ideal for enterprise knowledge management and intelligent Q&A systems.
Python