@nuannuan_share: 如果我要在90天内找到一份20万美元的AI工程师工作,我不会去读学位。 我会精通这10个GitHub仓库。 1. awesome-llm-apps 生产级AI指南。RAG、智能体、多模态应用,附完整代码。10.6万+ stars。 仓库 …

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一篇中文社交媒体帖子推荐了10个GitHub仓库,声称掌握这些仓库可在90天内帮助找到20万美元的AI工程师工作,涵盖LangChain、LangGraph、CrewAI、Ollama、Qdrant等主流AI开发框架和工具。

如果我要在90天内找到一份20万美元的AI工程师工作,我不会去读学位。 我会精通这10个GitHub仓库。 1. awesome-llm-apps 生产级AI指南。RAG、智能体、多模态应用,附完整代码。10.6万+ stars。 仓库 → https://t.co/oXrD5A8K6a 2. LangChain 基础框架。被Klarna、Replit、Elastic及2026年大多数AI创业公司用于生产环境。 仓库 → https://t.co/alIh6rDDIu 3. LangGraph 驱动生产智能体的编排层。资深AI工程师岗位描述中的必备技能。 仓库 → https://t.co/bzVBn9uecV 4. CrewAI 多智能体协调。财富500强团队首选框架。 仓库 → https://t.co/0xohE065sD 5. Ollama 在自己机器上运行任何开源LLM。学习模型工作原理的最快方式。 仓库 → https://t.co/gyZhUdzsnZ 6. awesome-mcp-servers MCP是2026年所有主流AI实验室采用的标准。掌握它让你领先99%的工程师。 仓库 → https://t.co/ejVOgkRJDX 7. Qdrant 大规模生产RAG使用的向量数据库。嵌入和语义搜索是AI岗位的必需技能。 仓库 → https://t.co/ziSSXW2dzZ 8. AI-Agents-for-Beginners 微软免费12课程,教建立智能体。真实代码、真实练习、真实面试准备。 仓库 → https://t.co/7dNsDw6bTj 9. system-design-primer 生产级AI就是系统设计。FAANG工程师用来面试准备的仓库。 仓库 → https://t.co/AypwqcL1Xz 10. awesome-claude-code 这个工具的使用指南,现被FAANG、OpenAI、Anthropic及大多数YC创业公司内部使用。 仓库 → https://t.co/VhNjDoz7YM
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如果我要在90天内找到一份20万美元的AI工程师工作,我不会去读学位。 我会精通这10个GitHub仓库。 1. awesome-llm-apps 生产级AI指南。RAG、智能体、多模态应用,附完整代码。10.6万+ stars。 仓库 → https://t.co/oXrD5A8K6a 2. LangChain 基础框架。被Klarna、Replit、Elastic及2026年大多数AI创业公司用于生产环境。 仓库 → https://t.co/alIh6rDDIu 3. LangGraph 驱动生产智能体的编排层。资深AI工程师岗位描述中的必备技能。 仓库 → https://t.co/bzVBn9uecV 4. CrewAI 多智能体协调。财富500强团队首选框架。 仓库 → https://t.co/0xohE065sD 5. Ollama 在自己机器上运行任何开源LLM。学习模型工作原理的最快方式。 仓库 → https://t.co/gyZhUdzsnZ 6. awesome-mcp-servers MCP是2026年所有主流AI实验室采用的标准。掌握它让你领先99%的工程师。 仓库 → https://t.co/ejVOgkRJDX 7. Qdrant 大规模生产RAG使用的向量数据库。嵌入和语义搜索是AI岗位的必需技能。 仓库 → https://t.co/ziSSXW2dzZ 8. AI-Agents-for-Beginners 微软免费12课程,教建立智能体。真实代码、真实练习、真实面试准备。 仓库 → https://t.co/7dNsDw6bTj 9. system-design-primer 生产级AI就是系统设计。FAANG工程师用来面试准备的仓库。 仓库 → https://t.co/AypwqcL1Xz 10. awesome-claude-code 这个工具的使用指南,现被FAANG、OpenAI、Anthropic及大多数YC创业公司内部使用。 仓库 → https://t.co/VhNjDoz7YM


Shubhamsaboo/awesome-llm-apps

Source: https://github.com/Shubhamsaboo/awesome-llm-apps

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🌟 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

Stars Forks Contributors License Last Commit

  🚀 Quick Start     📂 Browse Templates     📚 Step-by-Step Tutorials  

Featured on Trendshift

💡 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

TemplateWhat it doesStack
📡 Earnings Call Analyst AgentYouTube earnings calls become quote-synced analyst cards with ADK, Gemini, filings, and grounded market newsADK + Gemini
🛡️ Insurance Claim Live Agent TeamReal-time voice claim intake with Gemini Live and ADKVoice + ADK
🏠 Home Renovation AgentPhoto → AI redesign with Nano Banana ProVision + Multi-agent
♾️ Self-Improving Agent SkillsAutomatically optimize agent skills using Gemini and ADKAgent Skills + ADK

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

📑 Table of Contents

13 categories · Click to expand

📂 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.

📋 Browse all 19 skills
SkillDescription
🎓 Academic ResearcherLiterature reviews, paper analysis, citation management
🔍 Code ReviewerAutomated code review with best-practice checks
✍️ Content CreatorBlog posts, social media, marketing copy
📊 Data AnalystData exploration, statistical analysis, insights
🐛 DebuggerSystematic bug hunting and root-cause analysis
🤔 Decision HelperStructured decision frameworks and trade-off analysis
🔬 Deep ResearchMulti-source research with synthesis
📝 EditorProofreading, style, and clarity improvements
📧 Email DrafterProfessional email composition
✅ Fact CheckerClaim verification and source validation
💻 Fullstack DeveloperEnd-to-end web app development
📋 Meeting NotesMeeting summaries, action items, follow-ups
📅 Project PlannerRoadmaps, milestones, resource planning
🐍 Python ExpertPythonic code, packaging, performance
🏃 Sprint PlannerAgile sprint planning and backlog grooming
🧭 Strategy AdvisorBusiness strategy and competitive analysis
📖 Technical WriterDocumentation, API docs, guides
🎨 UX DesignerUI/UX design feedback and wireframes
📈 Visualization ExpertCharts, 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.

🔧 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.

Top contributors

⭐ Star History

Star History Chart

🌟 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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