Awesome LLM Apps
100+ open-source AI agents, agent skills, and RAG apps. Hand-built, tested end-to-end, Apache-2.0.
Clone it, ship it, sell it - 100% free and open-source
Works with Claude, Gemini, GPT, DeepSeek, Llama, Qwen and other open-source models.
Step-by-step tutorials on Unwind AI · Quick start · Browse all templates
Project Graveyard
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Insurance Claim Live Agent Team
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AI Fraud Investigation Agent
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Self-Improving Agent Skills
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AI Home Renovation Agent
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Always-on HN Briefing Agent
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🚀 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
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🧩 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
🌱 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.
- 🔥 Agentic RAG with Embedding Gemma - Fully local agentic RAG with EmbeddingGemma and Llama 3.2
- 🧐 Agentic RAG with Reasoning - Watch the agent's step-by-step reasoning as it retrieves
- 📰 AI Blog Search (RAG) - Agentic search over blog content, built on LangGraph
- 🔍 Autonomous RAG - GPT-4o answers from your PDFs, falls back to web search
- 🔄 Contextual AI RAG Agent - Managed RAG: datastore to grounded chat in minutes
- 🔄 Corrective RAG (CRAG) - Retrieval that grades itself and retries before answering
- 📎 Typed Agentic RAG with Pydantic AI - Validated answers with exact citations, or a refusal when evidence is weak
- 🐋 Deepseek Local RAG Agent - Local DeepSeek reasoning over your own documents
- 🤔 Gemini Agentic RAG - Query rewriting and web fallback with Gemini Flash Thinking
- 👀 Hybrid Search RAG (Cloud) - Keyword plus vector search feeding Claude
- 🔄 Llama 3.1 Local RAG - Chat with any webpage, fully offline
- 🖥️ Local Hybrid Search RAG - Hybrid search with everything running on your machine
- 🧬 Multimodal Agentic RAG - Text, PDFs, images, audio, and video, answered with citations
- 🦙 Local RAG Agent - Llama 3.2 and Qdrant, no API keys required
- 🧩 RAG-as-a-Service - A production RAG service in under 50 lines
- ✨ RAG Agent with Cohere - Command R7B retrieval with web-search fallback
- ⛓️ Basic RAG Chain - The minimal retrieval pipeline, applied to pharma research
- 📠 RAG with Database Routing - Routes each question to the right database automatically
- 🖼️ Vision RAG - Ask questions about images and PDF pages with Embed-4
- 🩺 RAG Failure Diagnostics Clinic - Find out why your RAG pipeline is wrong, systematically
- 🕸️ Knowledge Graph RAG with Citations - Multi-hop answers with verifiable source attribution
Small tools that bring AI into everyday browsing.
💾 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.
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.
这是一个包含 100+ 个开源 AI 智能体、Agent Skill 和 RAG 应用示例的合集。它们均为手工构建并经过端到端测试，采用 Apache-2.0 许可证发布，你可以克隆、运行，甚至直接用于商业销售。