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100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
AI Agents · Always-on Agents · Multi-agent Teams · MCP Agents · RAG · Voice Agents · Agent Skills · Fine-tuning
Free step-by-step tutorials on Unwind AI
Works with Claude · Gemini · OpenAI · xAI · Qwen · Llama
🚀 Quick Start 📂 Browse Templates 📚 Step-by-Step Tutorials
You shouldn't have to rebuild the same RAG pipeline, agent loop, or MCP integration from scratch every time you start a new LLM project.
Awesome LLM Apps is a cookbook of ready-to-run templates - starter code you can fork, customize, and ship as a production LLM app. Every template here is self-contained with full source code, not collected from elsewhere.
requirements.txt, no "figure it out yourself" scaffolding.⭐ If this saves you time, star the repo - that's how the next developer discovers it.
Run your first agent in 30 seconds:
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
cd awesome-llm-apps/starter_ai_agents/ai_travel_agent
pip install -r requirements.txt
streamlit run travel_agent.py
| Template | What it does | Stack |
|---|---|---|
| 📰 Always-on Hacker News Briefing Agent | Scheduled Hacker News scout that filters AI agent and LLM app signals into a delivery-ready daily brief | ADK + Agent Runtime |
| 🛡️ Insurance Claim Live Agent Team | Real-time voice claim intake with Gemini Live and ADK | Voice + ADK |
| 🏠 Home Renovation Agent | Photo → AI redesign with Nano Banana Pro | Vision + Multi-agent |
| ♾️ Self-Improving Agent Skills | Automatically optimize agent skills using Gemini and ADK | Agent Skills + ADK |
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15 categories · Click to expand
Single-file agents that run with just an API key - a great place to start.
Production-style agents with tools, memory, and multi-step reasoning.
Background agents that run on schedules or events, monitor changing context, decide what needs attention, and proactively deliver updates, artifacts, or actions.
Multiple agents collaborating to accomplish complex, cross-domain tasks.
Speech-in, speech-out agents using real-time voice APIs.
Agents that render interactive UI components — forms, cards, charts, editable plans — not just text.
Agents that play games end-to-end - reasoning, strategy, and action.
Agents that connect to external tools and data via Model Context Protocol.
$ claude mcp add awesome-llm-apps \
-- python -m otcore.mcp_server <graph>