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Fixes #409 ## Changes ### agent.py - Replace singleton `google_search` with explicit `GoogleSearchTool(bypass_multi_tools_limit=True)` to enable compatibility with nested agent setups (ADK limitation workaround) - Update SearchAgent instruction to be clearer about how the built-in search works (it's automatic, not a callable function) ### tools.py - Add validation for common LLM hallucination patterns (e.g., `_v0` version numbers) - Add fallback logic when artifact loading fails: 1. Try corrected filename if version 0 detected 2. Look up known artifact versions in session state 3. Fall back to last generated rendering - Improve error messages to show available artifacts ## Root Cause Analysis 1. **google_search not found**: The LLM was trying to call 'google_search' as a function, but GoogleSearchTool is a Gemini built-in capability that works automatically. Using `bypass_multi_tools_limit=True` and clearer instructions resolves the confusion. 2. **Artifact not found**: The LLM sometimes hallucinated incorrect filenames (e.g., `_v0.png` instead of `_v1.png`). Added robust fallback logic to recover gracefully.
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🌟 Awesome LLM Apps
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 
🤔 Why Awesome LLM Apps?
- 💡 Discover practical and creative ways LLMs can be applied across different domains, from code repositories to email inboxes and more.
- 🔥 Explore apps that combine LLMs from OpenAI, Anthropic, Gemini, and open-source alternatives with AI Agents, Agent Teams, MCP & RAG.
- 🎓 Learn from well-documented projects and contribute to the growing open-source ecosystem of LLM-powered applications.
🙏 Thanks to our sponsors
Tiger Data MCP |
Speechmatics |
Okara AI |
Become a Sponsor |
📂 Featured AI Projects
AI Agents
🌱 Starter AI Agents
- 🎙️ AI Blog to Podcast Agent
- ❤️🩹 AI Breakup Recovery Agent
- 📊 AI Data Analysis Agent
- 🩻 AI Medical Imaging Agent
- 😂 AI Meme Generator Agent (Browser)
- 🎵 AI Music Generator Agent
- 🛫 AI Travel Agent (Local & Cloud)
- ✨ Gemini Multimodal Agent
- 🔄 Mixture of Agents
- 📊 xAI Finance Agent
- 🔍 OpenAI Research Agent
- 🕸️ Web Scraping AI Agent (Local & Cloud SDK)
🚀 Advanced AI Agents
- 🏚️ 🍌 AI Home Renovation Agent with Nano Banana Pro
- 🔍 AI Deep Research Agent
- 📊 AI VC Due Diligence Agent Team
- 🔬 AI Research Planner & Executor (Google Interactions API)
- 🤝 AI Consultant Agent
- 🏗️ AI System Architect Agent
- 💰 AI Financial Coach Agent
- 🎬 AI Movie Production Agent
- 📈 AI Investment Agent
- 🏋️♂️ AI Health & Fitness Agent
- 🚀 AI Product Launch Intelligence Agent
- 🗞️ AI Journalist Agent
- 🧠 AI Mental Wellbeing Agent
- 📑 AI Meeting Agent
- 🧬 AI Self-Evolving Agent
- 👨🏻💼 AI Sales Intelligence Agent Team
- 🎧 AI Social Media News and Podcast Agent
- 🌐 Openwork - Open Browser Automation Agent
🎮 Autonomous Game Playing Agents
🤝 Multi-agent Teams
- 🧲 AI Competitor Intelligence Agent Team
- 💲 AI Finance Agent Team
- 🎨 AI Game Design Agent Team
- 👨⚖️ AI Legal Agent Team (Cloud & Local)
- 💼 AI Recruitment Agent Team
- 🏠 AI Real Estate Agent Team
- 👨💼 AI Services Agency (CrewAI)
- 👨🏫 AI Teaching Agent Team
- 💻 Multimodal Coding Agent Team
- ✨ Multimodal Design Agent Team
- 🎨 🍌 Multimodal UI/UX Feedback Agent Team with Nano Banana
- 🌏 AI Travel Planner Agent Team
🗣️ Voice AI Agents
- 🗣️ AI Audio Tour Agent
- 📞 Customer Support Voice Agent
- 🔊 Voice RAG Agent (OpenAI SDK)
- 🎙️ OpenSource Voice Dictation Agent (like Wispr Flow
MCP AI Agents
📀 RAG (Retrieval Augmented Generation)
- 🔥 Agentic RAG with Embedding Gemma
- 🧐 Agentic RAG with Reasoning
- 📰 AI Blog Search (RAG)
- 🔍 Autonomous RAG
- 🔄 Contextual AI RAG Agent
- 🔄 Corrective RAG (CRAG)
- 🐋 Deepseek Local RAG Agent
- 🤔 Gemini Agentic RAG
- 👀 Hybrid Search RAG (Cloud)
- 🔄 Llama 3.1 Local RAG
- 🖥️ Local Hybrid Search RAG
- 🦙 Local RAG Agent
- 🧩 RAG-as-a-Service
- ✨ RAG Agent with Cohere
- ⛓️ Basic RAG Chain
- 📠 RAG with Database Routing
- 🖼️ Vision RAG
💾 LLM Apps with Memory Tutorials
- 💾 AI ArXiv Agent with Memory
- 🛩️ AI Travel Agent with Memory
- 💬 Llama3 Stateful Chat
- 📝 LLM App with Personalized Memory
- 🗄️ Local ChatGPT Clone with Memory
- 🧠 Multi-LLM Application with Shared Memory
💬 Chat with X Tutorials
- 💬 Chat with GitHub (GPT & Llama3)
- 📨 Chat with Gmail
- 📄 Chat with PDF (GPT & Llama3)
- 📚 Chat with Research Papers (ArXiv) (GPT & Llama3)
- 📝 Chat with Substack
- 📽️ Chat with YouTube Videos
🎯 LLM Optimization Tools
- 🎯 Toonify Token Optimization - Reduce LLM API costs by 30-60% using TOON format
- 🧠 Headroom Context Optimization - Reduce LLM API costs by 50-90% through intelligent context compression for AI agents (includes persistent memory & MCP support)
🔧 LLM Fine-tuning Tutorials
🧑🏫 AI Agent Framework 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
- 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
🚀 Getting Started
-
Clone the repository
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git -
Navigate to the desired project directory
cd awesome-llm-apps/starter_ai_agents/ai_travel_agent -
Install the required dependencies
pip install -r requirements.txt -
Follow the project-specific instructions in each project's
README.mdfile to set up and run the app.
Thank You, Community, for the Support! 🙏
🌟 Don’t 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.