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shubhamsaboo/awesome-llm-apps

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143.4K stars Quality 76 Trend 100Apache-2.0
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100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.

Overview

Deutsch | Español | français | 日本語 | 한국어 | Português | Русский | 中文 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. - 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. - 🛠️ - every template is original work, tested end-to-end before it ships. - 🧪 - no broken requirements.txt, no "figure it out yourself" scaffolding.

README

🚀 Run one now

Give your coding agent a new skill in 10 seconds:

npx skills add https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/agent_skills/project-graveyard

Then ask it: “why do I never finish my side projects?”

Or clone and run any 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

📬 New templates drop weekly. Get them in your inbox on Unwind AI.

📂 Browse all templates

🧩 Agent Skills

Give your coding agent new abilities. One command to install, plain English to use. Every skill ships real code and passes a security + eval CI gate. Works with Claude Code, Codex, Cursor, and other coding agents. Browse all skills →

  • ⚰️ Project Graveyard - Finds every side project you abandoned, tells you why each one died, and helps you finish the one worth going back to
  • 👁️ First Reader - Simulates real readers going through your draft and reports where they lose interest, where they stop reading, and what they remember afterward, without rewriting a word
  • 🔭 Scope Creep Detector - Checks whether a diff grew beyond its stated intent and recommends what to keep, split, or justify
  • 🏺 Commit Archaeologist - Reconstructs why a file or code region exists from its introducing commit, later edits, co-changes, and intent clues
  • 🩺 Dependency Doctor - Checks a dependency manifest for standard-library pins, obsolete backports, unpinned entries, duplicate constraints, and yanked releases
  • 🧠 Advisor Orchestrator Worker - Meta Loop with Claude Fable 5.1 as advisor, GPT-6 Astra as orchestrator, and Gemini 3.8 Flash as worker
  • 🎙️ Thinking Out Loud - Echoes a voice ramble back as a scannable brief, with the model’s guesses quarantined and your reversals flagged
  • ♾️ Self-Improving Agent Skills - Automatically optimize agent skills using Gemini and ADK

🛠️ Standalone Apps & Tools

Standalone web apps, creative tools, and browser extensions for everyday workflows.

🌱 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.

🛰️ Always-on Agents

Background agents that run on schedules or events, monitor changing context, decide what needs attention, and proactively deliver updates, artifacts, or actions.

🤝 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.

🖼️ Generative UI and Agentic Frontends

Agents that render interactive UI components, not just text: forms, cards, charts, editable plans.

🎮 Autonomous Game-Playing Agents

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

♾️ 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.

💾 LLM Apps with Memory

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

💬 Chat with X

Turn any data source into a chat interface.

🎯 LLM Optimization Tools

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

🔧 LLM Fine-tuning

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

🧑‍🏫 AI Agent Framework Crash Courses

Deep-dive tutorials on the major agent frameworks.

  • Google ADK Crash Course - Starter agent, structured outputs, tools (built-in, function, third-party, MCP), memory, callbacks, plugins, and multi-agent patterns. Model-agnostic.
  • OpenAI Agents SDK Crash Course - Starter agent, function calling, structured outputs, tools, memory, evaluation, handoffs, swarm orchestration, and routing logic.
View the full README on GitHub

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Install

npx skillfish add shubhamsaboo/awesome-llm-apps
New to MCP? Start with the mcpskill.org guide →