Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.

文件	最后提交记录	最后更新时间
.github	Added Claude Code to the repo	1 年前
advanced_ai_agents	refactor: Update legal agent team to use new knowledge base structure and improve response handling - Refactored legal agent team to utilize the new `Knowledge` class instead of `PDFKnowledgeBase`. - Updated response type to `RunOutput` for better type safety across multiple functions. - Changed agent model version from GPT-4.1 to GPT-5 for enhanced performance. - Specified minimum version for the 'agno' package in requirements.txt for compatibility.	10 个月前
advanced_llm_apps	Addressing comments	1 年前
ai_agent_framework_crash_course	docs: Update README for Multi-Agent Web Research System to clarify YAML-based implementation	11 个月前
docs	chore: Update sponsor section in README	10 个月前
mcp_ai_agents	refactor: Enhance multi_mcp_agent with SQLite database integration and update requirements - Integrated SQLite database for memory management in multi_mcp_agent. - Updated memory handling to use the new database instance.	10 个月前
rag_tutorials	refactor: Update corrective_rag to use Claude 4.5 Sonnet for LLM functionality	10 个月前
starter_ai_agents	fix: Update XAI Finance Agent to use new AgentOS and enable debug mode	10 个月前
voice_ai_agents	chore: pin dependencies and update LangChain import for compatibility What it does - Pins all core dependencies in `requirements.txt` to specific versions to ensure environment stability and prevent future breaking changes. - Adds `langchain-text-splitters==1.0.0` and updates code to use the compatible import instead of the deprecated `langchain.text_splitter`. - Ensures the app runs consistently across different environments and with the current versions of OpenAI and LangChain libraries.	10 个月前
.gitignore	Added Claude Code to the repo	1 年前
LICENSE	Update LICENSE	1 年前
README.md	chore: Remove local news agent files as part of project cleanup	10 个月前

🌟 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 OpenAI , Anthropic, Google, xAI and open-source models like Qwen or Llama that you can run locally on your computer.

🤔 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

Unblocked

Okara AI

📂 Featured AI Projects

AI Agents

🌱 Starter AI Agents

🚀 Advanced AI Agents

🎮 Autonomous Game Playing Agents

🤝 Multi-agent Teams

🗣️ Voice AI Agents

MCP AI Agents

📀 RAG (Retrieval Augmented Generation)

💾 LLM Apps with Memory Tutorials

💬 Chat with X Tutorials

🔧 LLM Fine-tuning Tutorials

🧑‍🏫 AI Agent Framework Crash Course

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

🚀 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.md file to set up and run the app.