GitHub Trending · AI Apps & Models · Updated
Shubhamsaboo/awesome-llm-apps
100+ AI Agent & RAG apps you can actually run
- Stars
- ★ 123.7k
- Language
- Python
- Chart appearances
- 3
- On-chart tracking
- 0 days tracked
What it does
A giant library of LLM app templates: 100+ hand-built, end-to-end-tested AI agents, agent skills and RAG apps, all Apache-2.0 (commercial use OK). Works with Claude, Gemini, GPT, DeepSeek, Llama, Qwen and more — clone, install deps, run. The motto: 'clone, customize, ship'.
What's inside
Organized by difficulty and form: agent_skills/ (one-line npx installs), starter_ai_agents/ (single-file starters), advanced_ai_agents/ (multi-agent teams), voice_ai_agents/, always_on_agents/, RAG tutorials and more; each template ships a README and requirements, covering travel planning, financial analysis, podcast generation, home renovation…
Tech stack
Mostly Python, usually a Streamlit frontend over OpenAI/Gemini/Anthropic SDKs, some CrewAI/AG2 multi-agent frameworks.
Use cases
- AI beginners — clone a single-file template and ship your first LLM app in a day
- Startup teams — fork mature templates (travel planning, finance analysis, podcast generation) to validate ideas fast
- Enterprise evaluators — compare CrewAI / AG2 and other frameworks on real code
Why it's trending
Its broad, example-led catalog lowers the cost of trying LLM applications, while agent-skill templates and tutorials keep the collection useful to practitioners.
Current chart placements
| Period | Language filter | Rank | Stars gained |
|---|---|---|---|
| Daily | Python | #6 | +951 |
| Weekly | All languages | #8 | +6.3k |
| Weekly | Python | #2 | +6.3k |
Editorial summaries are based on the public repository and the dated GitHub Trending snapshot. Verify implementation details in the upstream repository.