AI prompts
base on Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models. <p align="center">
<a href="http://www.theunwindai.com">
<img src="docs/banner/unwind_black.png" width="900px" alt="Unwind AI">
</a>
</p>
<p align="center">
<a href="https://www.linkedin.com/in/shubhamsaboo/">
<img src="https://img.shields.io/badge/-Follow%20Shubham%20Saboo-blue?logo=linkedin&style=flat-square" alt="LinkedIn">
</a>
<a href="https://twitter.com/Saboo_Shubham_">
<img src="https://img.shields.io/twitter/follow/Shubham_Saboo" alt="Twitter">
</a>
</p>
<hr/>
# ๐ Awesome LLM Apps
A curated collection of awesome LLM apps built with RAG and AI agents. This repository features LLM apps that use models from OpenAI, Anthropic, Google, and open-source models like DeepSeek, Qwen or Llama that you can run locally on your computer.
<p align="center">
<a href="https://trendshift.io/repositories/9876" target="_blank">
<img src="https://trendshift.io/api/badge/repositories/9876" alt="Shubhamsaboo%2Fawesome-llm-apps | Trendshift" style="width: 250px; height: 55px;" />
</a>
</p>
## ๐ค Why Awesome LLM Apps?
- ๐ก Discover practical and creative ways LLMs can be applied across different domains, from code repositories to email inboxes and more.
- ๐ฅ Explore apps that combine LLMs from OpenAI, Anthropic, Gemini, and open-source alternatives with RAG and AI Agents.
- ๐ Learn from well-documented projects and contribute to the growing open-source ecosystem of LLM-powered applications.
## ๐จ Open Source AI Agent Hackathon
We're launching a Global AI Agent Hackathon in collaboration with AI Agent ecosystem partners โ open to all developers, builders, and startups working on agents, RAG, tool use, or multi-agent systems.
- Win up to **$25,000** in cash by building Agents
- Top 5 projects will be featured in the top trending [Awesome LLM Apps](https://github.com/Shubhamsaboo/awesome-llm-apps) repo.
- **$20,000** worth of API and tool use credits from the partners
### Participate Now: [Global AI Agent Hackathon](https://github.com/global-agent-hackathon/global-agent-hackathon-may-2025)
โญ Star this repo and subscribe to [Unwind AI](https://www.theunwindai.com) for latest updates.
## ๐ Featured AI Projects
### AI Agents
#### ๐ฑ Starter AI Agents
* [๐๏ธ AI Blog to Podcast Agent](starter_ai_agents/ai_blog_to_podcast_agent/)
* [โค๏ธโ๐ฉน AI Breakup Recovery Agent](starter_ai_agents/ai_breakup_recovery_agent/)
* [๐ AI Data Analysis Agent](starter_ai_agents/ai_data_analysis_agent/)
* [๐ฉป AI Medical Imaging Agent](starter_ai_agents/ai_medical_imaging_agent/)
* [๐ AI Meme Generator Agent (Browser)](starter_ai_agents/ai_meme_generator_agent_browseruse/)
* [๐ต AI Music Generator Agent](starter_ai_agents/ai_music_generator_agent/)
* [๐ซ AI Travel Agent (Local & Cloud)](starter_ai_agents/ai_travel_agent/)
* [โจ Gemini Multimodal Agent](starter_ai_agents/gemini_multimodal_agent_demo/)
* [๐ Local News Agent (OpenAI Swarm)](starter_ai_agents/local_news_agent_openai_swarm/)
* [๐ Mixture of Agents](starter_ai_agents/mixture_of_agents/)
* [๐ xAI Finance Agent](starter_ai_agents/xai_finance_agent/)
* [๐ OpenAI Research Agent](starter_ai_agents/opeani_research_agent/)
* [๐ธ๏ธ Web Scrapping AI Agent (Local & Cloud)](starter_ai_agents/web_scrapping_ai_agent/)
#### ๐ Advanced AI Agents
* [๐ AI Deep Research Agent](advanced_ai_agents/single_agent_apps/ai_deep_research_agent/)
* [๐๏ธ AI System Architect Agent](advanced_ai_agents/single_agent_apps/ai_system_architect_r1/)
* [๐ฏ AI Lead Generation Agent](advanced_ai_agents/single_agent_apps/ai_lead_generation_agent/)
* [๐ฐ AI Financial Coach Agent](advanced_ai_agents/multi_agent_apps/ai_financial_coach_agent/)
* [๐ฌ AI Movie Production Agent](advanced_ai_agents/single_agent_apps/ai_movie_production_agent/)
* [๐ AI Real Estate Agent](advanced_ai_agents/single_agent_apps/ai_real_estate_agent/)
* [๐ AI Investment Agent](advanced_ai_agents/single_agent_apps/ai_investment_agent/)
* [๐๏ธโโ๏ธ AI Health & Fitness Agent](advanced_ai_agents/single_agent_apps/ai_health_fitness_agent/)
* [๐๏ธ AI Journalist Agent](advanced_ai_agents/single_agent_apps/ai_journalist_agent/)
* [๐ง AI Mental Wellbeing Agent](advanced_ai_agents/multi_agent_apps/ai_mental_wellbeing_agent/)
* [๐ AI Meeting Agent](advanced_ai_agents/single_agent_apps/ai_meeting_agent/)
#### ๐ฎ Autonomous Game Playing Agents
* [๐ฎ AI 3D Pygame Agent](advanced_ai_agents/autonomous_game_playing_agent_apps/ai_3dpygame_r1/)
* [โ AI Chess Agent](advanced_ai_agents/autonomous_game_playing_agent_apps/ai_chess_agent/)
* [๐ฒ AI Tic-Tac-Toe Agent](advanced_ai_agents/autonomous_game_playing_agent_apps/ai_tic_tac_toe_agent/)
#### ๐ค Multi-agent Teams
* [๐งฒ AI Competitor Intelligence Agent Team](advanced_ai_agents/multi_agent_apps/agent_teams/ai_competitor_intelligence_agent_team/)
* [๐ฒ AI Finance Agent Team](advanced_ai_agents/multi_agent_apps/agent_teams/ai_finance_agent_team/)
* [๐จ AI Game Design Agent Team](advanced_ai_agents/multi_agent_apps/agent_teams/ai_game_design_agent_team/)
* [๐จโโ๏ธ AI Legal Agent Team (Cloud & Local)](advanced_ai_agents/multi_agent_apps/agent_teams/ai_legal_agent_team/)
* [๐ผ AI Recruitment Agent Team](advanced_ai_agents/multi_agent_apps/agent_teams/ai_recruitment_agent_team/)
* [๐จโ๐ผ AI Services Agency (CrewAI)](advanced_ai_agents/multi_agent_apps/agent_teams/ai_services_agency/)
* [๐จโ๐ซ AI Teaching Agent Team](advanced_ai_agents/multi_agent_apps/agent_teams/ai_teaching_agent_team/)
* [๐ป Multimodal Coding Agent Team](advanced_ai_agents/multi_agent_apps/agent_teams/multimodal_coding_agent_team/)
* [โจ Multimodal Design Agent Team](advanced_ai_agents/multi_agent_apps/agent_teams/multimodal_design_agent_team/)
### ๐ฃ๏ธ Voice AI Agents
* [๐ฃ๏ธ AI Audio Tour Agent](voice_ai_agents/ai_audio_tour_agent/)
* [๐ Customer Support Voice Agent](voice_ai_agents/customer_support_voice_agent/)
* [๐ Voice RAG Agent (OpenAI SDK)](voice_ai_agents/voice_rag_openaisdk/)
### ๐ MCP AI Agents
* [โพ๏ธ MCP Browser Agent](mcp_ai_agents/browser_mcp_agent/)
* [๐ MCP GitHub Agent](mcp_ai_agents/github_mcp_agent/)
### RAG (Retrieval Augmented Generation)
* [๐ Agentic RAG](rag_tutorials/agentic_rag/)
* [๐ฐ AI Blog Search (RAG)](rag_tutorials/ai_blog_search/)
* [๐ Autonomous RAG](rag_tutorials/autonomous_rag/)
* [๐ Corrective RAG (CRAG)](rag_tutorials/corrective_rag/)
* [๐ Deepseek Local RAG Agent](rag_tutorials/deepseek_local_rag_agent/)
* [๐ค Gemini Agentic RAG](rag_tutorials/gemini_agentic_rag/)
* [๐ Hybrid Search RAG (Cloud)](rag_tutorials/hybrid_search_rag/)
* [๐ Llama 3.1 Local RAG](rag_tutorials/llama3.1_local_rag/)
* [๐ฅ๏ธ Local Hybrid Search RAG](rag_tutorials/local_hybrid_search_rag/)
* [๐ฆ Local RAG Agent](rag_tutorials/local_rag_agent/)
* [๐งฉ RAG-as-a-Service](rag_tutorials/rag-as-a-service/)
* [โจ RAG Agent with Cohere](rag_tutorials/rag_agent_cohere/)
* [โ๏ธ Basic RAG Chain](rag_tutorials/rag_chain/)
* [๐ RAG with Database Routing](rag_tutorials/rag_database_routing/)
* [๐ผ๏ธ Vision RAG](rag_tutorials/vision_rag/)
### MCP AI Agents
- [๐ MCP GitHub Agent](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/mcp_ai_agents/github_mcp_agent)
- [โพ๏ธ MCP Browser Agent](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/mcp_ai_agents/browser_mcp_agent)
### ๐ง Advanced LLM Apps
#### ๐ฌ Chat with X Tutorials
* [๐ฌ Chat with GitHub (GPT & Llama3)](advanced_llm_apps/chat_with_X_tutorials/chat_with_github/)
* [๐จ Chat with Gmail](advanced_llm_apps/chat_with_X_tutorials/chat_with_gmail/)
* [๐ Chat with PDF (GPT & Llama3)](advanced_llm_apps/chat_with_X_tutorials/chat_with_pdf/)
* [๐ Chat with Research Papers (ArXiv) (GPT & Llama3)](advanced_llm_apps/chat_with_X_tutorials/chat_with_research_papers/)
* [๐ Chat with Substack](advanced_llm_apps/chat_with_X_tutorials/chat_with_substack/)
* [๐ฝ๏ธ Chat with YouTube Videos](advanced_llm_apps/chat_with_X_tutorials/chat_with_youtube_videos/)
#### ๐พ LLM Apps with Memory Tutorials
* [๐พ AI ArXiv Agent with Memory](advanced_llm_apps/llm_apps_with_memory_tutorials/ai_arxiv_agent_memory/)
* [๐ฉ๏ธ AI Travel Agent with Memory](advanced_llm_apps/llm_apps_with_memory_tutorials/ai_travel_agent_memory/)
* [๐ฌ Llama3 Stateful Chat](advanced_llm_apps/llm_apps_with_memory_tutorials/llama3_stateful_chat/)
* [๐ LLM App with Personalized Memory](advanced_llm_apps/llm_apps_with_memory_tutorials/llm_app_personalized_memory/)
* [๐๏ธ Local ChatGPT Clone with Memory](advanced_llm_apps/llm_apps_with_memory_tutorials/local_chatgpt_with_memory/)
* [๐ง Multi-LLM Application with Shared Memory](advanced_llm_apps/llm_apps_with_memory_tutorials/multi_llm_memory/)
#### ๐ง LLM Fine-tuning Tutorials
* [๐ง Llama 3.2 Fine-tuning](advanced_llm_apps/llm_finetuning_tutorials/llama3.2_finetuning/)
## ๐ Getting Started
1. **Clone the repository**
```bash
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
```
2. **Navigate to the desired project directory**
```bash
cd awesome-llm-apps/starter_ai_agents/ai_travel_agent
```
3. **Install the required dependencies**
```bash
pip install -r requirements.txt
```
4. **Follow the project-specific instructions** in each project's `README.md` file to set up and run the app.
## ๐ค Contributing to Open Source
Contributions are welcome! If you have any ideas, improvements, or new apps to add, please create a new [GitHub Issue](https://github.com/Shubhamsaboo/awesome-llm-apps/issues) or submit a pull request. Make sure to follow the existing project structure and include a detailed `README.md` for each new app.
### Thank You, Community, for the Support! ๐
[](https://star-history.com/#Shubhamsaboo/awesome-llm-apps&Date)
๐ **Donโt miss out on future updates! Star the repo now and be the first to know about new and exciting LLM apps with RAG and AI Agents.**
", Assign "at most 3 tags" to the expected json: {"id":"9876","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"