updated the README
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README.md
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README.md
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@ -17,7 +17,7 @@
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# 🌟 Awesome LLM Apps
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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.
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A curated collection of awesome LLM apps built with RAG, AI Agents, Multi-agent Teams, MCP, Voice Agents, and more. 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.
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<p align="center">
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<a href="https://trendshift.io/repositories/9876" target="_blank">
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@ -28,21 +28,9 @@ A curated collection of awesome LLM apps built with RAG and AI agents. This repo
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## 🤔 Why Awesome LLM Apps?
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- 💡 Discover practical and creative ways LLMs can be applied across different domains, from code repositories to email inboxes and more.
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- 🔥 Explore apps that combine LLMs from OpenAI, Anthropic, Gemini, and open-source alternatives with RAG and AI Agents.
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- 🔥 Explore apps that combine LLMs from OpenAI, Anthropic, Gemini, and open-source alternatives with AI Agents, Agent Teams, MCP & RAG.
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- 🎓 Learn from well-documented projects and contribute to the growing open-source ecosystem of LLM-powered applications.
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## 🚨 Open Source AI Agent Hackathon
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We're launching a Global AI Agent Hackathon in collaboration with AI Agent ecosystem partners — open to all developers, builders, and startups working on agents, RAG, tool use, or multi-agent systems.
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- Win up to **$25,000** in cash by building Agents
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- Top 5 projects will be featured in the top trending [Awesome LLM Apps](https://github.com/Shubhamsaboo/awesome-llm-apps) repo.
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- **$20,000** worth of API and tool use credits from the partners
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### Participate Now: [Global AI Agent Hackathon](https://github.com/global-agent-hackathon/global-agent-hackathon-may-2025)
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⭐ Star this repo and subscribe to [Unwind AI](https://www.theunwindai.com) for latest updates.
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## 📂 Featured AI Projects
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### AI Agents
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@ -72,6 +60,7 @@ We're launching a Global AI Agent Hackathon in collaboration with AI Agent ecosy
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* [🎬 AI Movie Production Agent](advanced_ai_agents/single_agent_apps/ai_movie_production_agent/)
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* [📈 AI Investment Agent](advanced_ai_agents/single_agent_apps/ai_investment_agent/)
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* [🏋️♂️ AI Health & Fitness Agent](advanced_ai_agents/single_agent_apps/ai_health_fitness_agent/)
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* [🚀 AI Product Launch Intelligence Agent](advanced_ai_agents/multi_agent_apps/product_launch_intelligence_agent)
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* [🗞️ AI Journalist Agent](advanced_ai_agents/single_agent_apps/ai_journalist_agent/)
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* [🧠 AI Mental Wellbeing Agent](advanced_ai_agents/multi_agent_apps/ai_mental_wellbeing_agent/)
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* [📑 AI Meeting Agent](advanced_ai_agents/single_agent_apps/ai_meeting_agent/)
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@ -104,12 +93,14 @@ We're launching a Global AI Agent Hackathon in collaboration with AI Agent ecosy
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### 🌐 MCP AI Agents
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* [♾️ MCP Browser Agent](mcp_ai_agents/browser_mcp_agent/)
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* [🐙 MCP GitHub Agent](mcp_ai_agents/github_mcp_agent/)
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* [♾️ Browser MCP Agent](mcp_ai_agents/browser_mcp_agent/)
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* [🐙 GitHub MCP Agent](mcp_ai_agents/github_mcp_agent/)
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* [📑 Notion MCP Agent](mcp_ai_agents/notion_mcp_agent)
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* [🌍 AI Travel Planner MCP Agent](mcp_ai_agents/ai_travel_planner_mcp_agent_team)
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### RAG (Retrieval Augmented Generation)
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* [🔗 Agentic RAG](rag_tutorials/agentic_rag/)
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* [🧐 Agentic RAG with Reasoning](rag_tutorials/agentic_rag_with reasoning)
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* [📰 AI Blog Search (RAG)](rag_tutorials/ai_blog_search/)
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* [🔍 Autonomous RAG](rag_tutorials/autonomous_rag/)
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* [🔄 Corrective RAG (CRAG)](rag_tutorials/corrective_rag/)
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* [📠 RAG with Database Routing](rag_tutorials/rag_database_routing/)
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* [🖼️ Vision RAG](rag_tutorials/vision_rag/)
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### MCP AI Agents
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- [🐙 MCP GitHub Agent](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/mcp_ai_agents/github_mcp_agent)
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- [♾️ MCP Browser Agent](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/mcp_ai_agents/browser_mcp_agent)
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### 💾 LLM Apps with Memory Tutorials
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* [💾 AI ArXiv Agent with Memory](advanced_llm_apps/llm_apps_with_memory_tutorials/ai_arxiv_agent_memory/)
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* [🛩️ AI Travel Agent with Memory](advanced_llm_apps/llm_apps_with_memory_tutorials/ai_travel_agent_memory/)
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* [💬 Llama3 Stateful Chat](advanced_llm_apps/llm_apps_with_memory_tutorials/llama3_stateful_chat/)
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* [📝 LLM App with Personalized Memory](advanced_llm_apps/llm_apps_with_memory_tutorials/llm_app_personalized_memory/)
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* [🗄️ Local ChatGPT Clone with Memory](advanced_llm_apps/llm_apps_with_memory_tutorials/local_chatgpt_with_memory/)
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* [🧠 Multi-LLM Application with Shared Memory](advanced_llm_apps/llm_apps_with_memory_tutorials/multi_llm_memory/)
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### 🧠 Advanced LLM Apps
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### 💬 Chat with X Tutorials
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* [📝 Chat with Substack](advanced_llm_apps/chat_with_X_tutorials/chat_with_substack/)
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* [📽️ Chat with YouTube Videos](advanced_llm_apps/chat_with_X_tutorials/chat_with_youtube_videos/)
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### 💾 LLM Apps with Memory Tutorials
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* [💾 AI ArXiv Agent with Memory](advanced_llm_apps/llm_apps_with_memory_tutorials/ai_arxiv_agent_memory/)
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* [🛩️ AI Travel Agent with Memory](advanced_llm_apps/llm_apps_with_memory_tutorials/ai_travel_agent_memory/)
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* [💬 Llama3 Stateful Chat](advanced_llm_apps/llm_apps_with_memory_tutorials/llama3_stateful_chat/)
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* [📝 LLM App with Personalized Memory](advanced_llm_apps/llm_apps_with_memory_tutorials/llm_app_personalized_memory/)
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* [🗄️ Local ChatGPT Clone with Memory](advanced_llm_apps/llm_apps_with_memory_tutorials/local_chatgpt_with_memory/)
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* [🧠 Multi-LLM Application with Shared Memory](advanced_llm_apps/llm_apps_with_memory_tutorials/multi_llm_memory/)
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### 🔧 LLM Fine-tuning Tutorials
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* [🔧 Llama 3.2 Fine-tuning](advanced_llm_apps/llm_finetuning_tutorials/llama3.2_finetuning/)
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# 🚀 Product Launch Intelligence Agent
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# 🚀 AI Product Launch Intelligence Agent
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A **streamlined intelligence hub** for Go-To-Market (GTM) & Product-Marketing teams.
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Built with **Streamlit + Agno (GPT-4o) + Firecrawl**, the app turns scattered public-web data into concise, actionable launch insights.
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# ---------------- Page Config ----------------
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st.set_page_config(
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page_title="Product Intelligence Agent",
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page_title="AI Product Intelligence Agent",
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page_icon="🚀",
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layout="wide",
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initial_sidebar_state="expanded"
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@ -213,7 +213,7 @@ def expand_metrics_report(bullet_text: str, launch: str) -> str:
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return resp.content if hasattr(resp, "content") else str(resp)
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# ---------------- UI ----------------
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st.title("🚀 Product Launch Intelligence Agent")
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st.title("🚀 AI Product Launch Intelligence Agent")
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st.markdown("*AI-powered insights for GTM, Product Marketing & Growth Teams*")
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st.divider()
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## 🌍 AI Travel Planner Agent
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## 🌍 AI Travel Planner MCP Agent
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This is a Streamlit-based application that helps users plan their travel itineraries using AI. The app integrates with various mcp servers to provide a comprehensive travel planning experience, including weather forecasts, maps, and calendar integration.
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## Features
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## MCP Servers Integration
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### MCP Servers Integration
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This project utilizes several MCP (Model Context Protocol) servers to provide a comprehensive travel planning experience:
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# 🌐 MCP Browser Agent
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# 🌐 Browser MCP Agent
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# 🐙 MCP GitHub Agent
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# 🐙 GitHub MCP Agent
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A Streamlit application that allows you to explore and analyze GitHub repositories using natural language queries through the Model Context Protocol (MCP).
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# Notion MCP Agent with Agno
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# 📑 Notion MCP Agent
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A terminal-based Notion Agent for interacting with your Notion pages using natural language through the Notion MCP (Model Context Protocol) server.
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