Deutsch | Español | français | 日本語 | 한국어 | Português | Русский | 中文

🌟 Awesome LLM Apps

100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
AI 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.

• 🛠️ Hand-built, not curated - every template is original work, tested end-to-end before it ships.
• 🧪 Runs in 3 commands - no broken requirements.txt, no "figure it out yourself" scaffolding.
• 🧠 Covers the modern AI stack - AI Agents, Multi-agent Teams, MCP Agents, Voice AI Agents, RAG, Agent Skills, Fine-tuning.
• 🌐 Provider-agnostic - switch between Claude, Gemini, GPT, Llama, Qwen, xAI and others with a config change.
• 📚 Step-by-step tutorials - every featured template has a free walkthrough on Unwind AI.
• 💸 Apache-2.0 - fork it, ship it, sell it. No paywall, no signup, no telemetry.

⭐ 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

📬 Subscribe on Unwind AI to get new template drops + tutorials in your inbox.

Single-file agents that run with just an API key - a great place to start.

• 🎙️ AI Blog to Podcast Agent
• ❤️‍🩹 AI Breakup Recovery Agent
• 📊 AI Data Analysis Agent
• 🩻 AI Medical Imaging Agent
• 😂 AI Meme Generator Agent (Browser)
• 🎵 AI Music Generator Agent
• 🛫 AI Travel Agent (Local & Cloud)
• ✨ Gemini Multimodal Agent
• 🔄 Mixture of Agents
• 📊 xAI Finance Agent
• 🔍 OpenAI Research Agent
• 🕸️ Web Scraping AI Agent (Local & Cloud SDK)

Production-style agents with tools, memory, and multi-step reasoning.

• 🏚️ 🍌 AI Home Renovation Agent with Nano Banana Pro
• 🧠 DevPulse AI - Multi-Agent Signal Intelligence
• 🔍 AI Deep Research Agent
• 📊 AI VC Due Diligence Agent Team
• 🔬 AI Research Planner & Executor (Google Interactions API)
• 🤝 AI Consultant Agent
• 🏗️ AI System Architect Agent
• 💰 AI Financial Coach Agent
• 🎬 AI Movie Production Agent
• 📈 AI Investment Agent
• 📡 Earnings Call Analyst Agent
• 🏋️‍♂️ AI Health & Fitness Agent
• 🚀 AI Product Launch Intelligence Agent
• 🔍 AI Fraud Investigation Agent
• 🗞️ AI Journalist Agent
• 🧠 AI Mental Wellbeing Agent
• 📑 AI Meeting Agent
• 🧬 AI Self-Evolving Agent
• 👨🏻‍💼 AI Sales Intelligence Agent Team
• 🎧 AI Social Media News and Podcast Agent
• 🌐 Openwork - Open Browser Automation Agent _{↗ external}
• 🛡️ Trust-Gated Multi-Agent Research Team

Agents that play games end-to-end - reasoning, strategy, and action.

• 🎮 AI 3D Pygame Agent
• ♜ AI Chess Agent
• 🎲 AI Tic-Tac-Toe Agent

Multiple agents collaborating to accomplish complex, cross-domain tasks.

• 🧲 AI Competitor Intelligence Agent Team
• 💲 AI Finance Agent Team
• 🎨 AI Game Design Agent Team
• 🧭 AG2 Adaptive Research Team
• 👨‍⚖️ AI Legal Agent Team (Cloud & Local)
• 💼 AI Recruitment Agent Team
• 🏠 AI Real Estate Agent Team
• 👨‍💼 AI Services Agency (CrewAI)
• 👨‍🏫 AI Teaching Agent Team
• 💻 Multimodal Coding Agent Team
• ✨ Multimodal Design Agent Team
• 🎨 🍌 Multimodal UI/UX Feedback Agent Team with Nano Banana
• 🌏 AI Travel Planner Agent Team

Speech-in, speech-out agents using real-time voice APIs.

• 🗣️ AI Audio Tour Agent
• 📞 Customer Support Voice Agent
• 🛡️ Insurance Claim Live Agent Team
• 🔊 Voice RAG Agent (OpenAI SDK)
• 🎙️ OpenSource Voice Dictation Agent (Wispr Flow clone) _{↗ external}

Agents that connect to external tools and data via Model Context Protocol.

• ♾️ Browser MCP Agent
• 🐙 GitHub MCP Agent
• 📑 Notion MCP Agent
• 🌍 AI Travel Planner MCP Agent
• 🔀 Multi-MCP Agent Router

Retrieval pipelines - from simple chains to agentic and multi-source.

• 🔥 Agentic RAG with Embedding Gemma
• 🧐 Agentic RAG with Reasoning
• 📰 AI Blog Search (RAG)
• 🔍 Autonomous RAG
• 🔄 Contextual AI RAG Agent
• 🔄 Corrective RAG (CRAG)
• 🐋 Deepseek Local RAG Agent
• 🤔 Gemini Agentic RAG
• 👀 Hybrid Search RAG (Cloud)
• 🔄 Llama 3.1 Local RAG
• 🖥️ Local Hybrid Search RAG
• 🧬 Multimodal Agentic RAG
• 🦙 Local RAG Agent
• 🧩 RAG-as-a-Service
• ✨ RAG Agent with Cohere
• ⛓️ Basic RAG Chain
• 📠 RAG with Database Routing
• 🖼️ Vision RAG
• 🩺 RAG Failure Diagnostics Clinic
• 🕸️ Knowledge Graph RAG with Citations

Ready-to-use agent skill files you can plug into any AI agent or LLM workflow.

• ♾️ Self-Improving Agent Skills - Automatically optimize agent skills using Gemini and ADK

Agents and chatbots that remember conversations and user state across sessions.

• 💾 AI ArXiv Agent with Memory
• 🛩️ AI Travel Agent with Memory
• 💬 Llama3 Stateful Chat
• 📝 LLM App with Personalized Memory
• 🗄️ Local ChatGPT Clone with Memory
• 🧠 Multi-LLM Application with Shared Memory

Turn any data source into a chat interface.

• 💬 Chat with GitHub (GPT & Llama3)
• 📨 Chat with Gmail
• 📄 Chat with PDF (GPT & Llama3)
• 📚 Chat with Research Papers (ArXiv) (GPT & Llama3)
• 📝 Chat with Substack
• 📽️ Chat with YouTube Videos

Reduce token usage, context size, and API cost without losing quality.

• 🎯 Toonify Token Optimization - Reduce LLM API costs by 30–60% using TOON format
• 🧠 Headroom Context Optimization - Reduce LLM API costs by 50–90%

End-to-end fine-tuning recipes for open-source models.

• Gemma 3 Fine-tuning
• Llama 3.2 Fine-tuning

Deep-dive tutorials on the major agent frameworks.

Google ADK Crash Course

• Starter agent; model‑agnostic (OpenAI, Claude)
• Structured outputs (Pydantic)
• Tools: built‑in, function, third‑party, MCP tools
• Memory; callbacks; Plugins
• Simple multi‑agent; Multi‑agent patterns

OpenAI Agents SDK Crash Course

• Starter agent; function calling; structured outputs
• Tools: built‑in, function, third‑party integrations
• Memory; callbacks; evaluation
• Multi‑agent patterns; agent handoffs
• Swarm orchestration; routing logic

Created and maintained by Shubham Saboo with contributions from the amazing community members.

🌟 Don't miss future drops - star the repo to get notified when new templates ship.

Apache-2.0. See LICENSE. Fork it, ship it, sell it.