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langgraph-whatsapp-agent. A template for building WhatsApp agents using LangGraph and Twilio. This project enables you to deploy AI agents that interact with users via WhatsApp, process messages and images, and invoke custom graph-based agents. It integrates with MCP and runs on the LangGraph Platform.

researcher_agent. An application built on the Model Context Protocol (MCP) that transforms any website into highly relevant content based on your queries. The app seamlessly integrates with platforms like X, Slack, and among others.

deepagents. Python

langgraph-handoff_example. This project demonstrates the use of langgraph handoff to create intelligent agents for managing team expenses and meal planning.

concurrent_processing. Become an OpenAI API power user: Learn to leverage async, batching, and streaming for optimal performance and efficiency.

concurrent_interrupts. Jupyter Notebook

pydantic-ai_example. This project demonstrates the use of PydanticAI to create intelligent agents for managing team expenses and meal planning.

swarm-example. This project demonstrates the use of Openai's Swarm to create intelligent agents for managing team expenses and meal planning.