🚀 Agentic Systems is a go-to repository for building web search agents and multi-agent workflows using cutting-edge AI frameworks. It provides practical implementations leveraging LangChain, LangGraph, Phidata/Agno, Pydantic, and CrewAI to create intelligent, autonomous, and collaborative AI agents.

• Web Search Agents – Build AI-powered agents that autonomously retrieve and process information from the web.
• Multi-Agent Email Response Agent – Automates email handling with intelligent agent collaboration.
• LLaMA OCR – Optical Character Recognition (OCR) powered by LLaMA models for document processing.
• Multi-Agent Travel Planner – AI-driven travel planning, including itinerary recommendations and booking assistance.
• Seamless Integration – Works with popular AI frameworks to streamline agent-based solutions.

• LangChain – Framework for building LLM-powered applications.
• LangGraph – Graph-based execution for multi-agent workflows.
• Phidata/Agno – Data and workflow automation for AI agents.
• Pydantic – Data validation and settings management.
• CrewAI – Multi-agent collaboration framework.

📦 Agentic-Systems
├── 📁 Email Response Agent
│ ├── duckduckgo_tool.py # Search Tool
│ ├── email_agent.py # Email Response Generator
├── 📁 LLAMA-OCR
│ ├── ocr.py
├── 📁 Travel-Planner
│ ├── travel-planner.ipynb
├── agent.ipynb # Agent with LangChain 
├── agent_phidata.ipynb # Agent with Phidata/Agno
├── agent_pydantic.ipynb # Agent with Pydantic AI
├── agent_with_crewai.ipynb # Agent with CrewAI
├── langgraph_llm_with_tools.ipynb # Agent with LangGraph 
└── 📄 README.md # Project documentation

Clone the repository and install dependencies:

git clone https://github.com/yourusername/agentic-systems.git
cd agentic-systems

Contributions are welcome! Feel free to submit pull requests, issues, or feature suggestions.

This project is licensed under the MIT License.

🚀 Agentic Systems – Empowering AI with autonomous and intelligent multi-agent workflows!