🌟 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

💡 Why this exists

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.

🚀 Quick Start

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

🔥 Featured This Month

Template	What it does	Stack
🧠 DevPulse AI	Multi-agent signal intelligence for dev teams	Multi-agent
🏠 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

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

📑 Table of Contents

13 categories · Click to expand

🌱 Starter AI Agents
🚀 Advanced AI Agents
🎮 Autonomous Game-Playing Agents
🤝 Multi-agent Teams
🗣️ Voice AI Agents
♾️ MCP AI Agents
📀 RAG Tutorials
🧩 Awesome Agent Skills
💾 LLM Apps with Memory
💬 Chat with X Tutorials
🎯 LLM Optimization Tools
🔧 LLM Fine-tuning Tutorials
🧑‍🏫 AI Agent Framework Crash Courses

📂 Featured AI Projects

🌱 Starter AI Agents

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

🚀 Advanced AI Agents

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

🎮 Autonomous Game-Playing Agents

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

🤝 Multi-agent Teams

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

🗣️ Voice AI Agents

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

♾️ MCP AI Agents

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

📀 RAG (Retrieval Augmented Generation)

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

🧩 Awesome Agent Skills

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

📋 Browse all 19 skills

Skill	Description
🎓 Academic Researcher	Literature reviews, paper analysis, citation management
🔍 Code Reviewer	Automated code review with best-practice checks
✍️ Content Creator	Blog posts, social media, marketing copy
📊 Data Analyst	Data exploration, statistical analysis, insights
🐛 Debugger	Systematic bug hunting and root-cause analysis
🤔 Decision Helper	Structured decision frameworks and trade-off analysis
🔬 Deep Research	Multi-source research with synthesis
📝 Editor	Proofreading, style, and clarity improvements
📧 Email Drafter	Professional email composition
✅ Fact Checker	Claim verification and source validation
💻 Fullstack Developer	End-to-end web app development
📋 Meeting Notes	Meeting summaries, action items, follow-ups
📅 Project Planner	Roadmaps, milestones, resource planning
🐍 Python Expert	Pythonic code, packaging, performance
🏃 Sprint Planner	Agile sprint planning and backlog grooming
🧭 Strategy Advisor	Business strategy and competitive analysis
📖 Technical Writer	Documentation, API docs, guides
🎨 UX Designer	UI/UX design feedback and wireframes
📈 Visualization Expert	Charts, dashboards, data storytelling

💾 LLM Apps with Memory Tutorials

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

💬 Chat with X Tutorials

Turn any data source into a chat interface.

🎯 LLM Optimization Tools

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%

🔧 LLM Fine-tuning Tutorials

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

🧑‍🏫 AI Agent Framework Crash Course

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

🙏 Built by

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

⭐ Star History

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

📜 License

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

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