PydanticAI Agent for chemistry related tasks including the retrosynthesis of chemical compounds.

parse a schedule in natural language to a cron schedule using agentic solution

Minimal agents with whatsapp mcp setup to get things running fast

A collection of notebooks and resources for learning about Large Language Models (LLMs).

Reze: A conversational AI assistant for Resend.com that helps users send emails, check delivery status, and manage communications through natural chat.

Turn Chaos Into Structure. A Type-Safe AI Agent that extracts valid JSON from unstructured data using PydanticAI, FastHTML, and Gemini 2.5.

Safe, typed, auditable database access for AI agents

Experimentation with PydanticAI, a Python agent framework designed to make it less painful to build production grade applications with Generative AI. This repository contains test implementations, error handling patterns, and validation approaches for structured AI outputs.

Simple Multi-AgenticAI flow for KYC using CrewAI, Autogen, PydanticAI, LangChain

This Travel AI Agent is an intelligent assistant that helps users plan detailed travel itineraries. The agent leverages multiple AI models and external APIs to provide comprehensive travel recommendations including accommodations, activities, restaurants, and transportation options..

An interactive chat application for a virtual bookstore built with Streamlit and Pydantic AI

Code Samples for getting started with Building Agentic Systems with Pydantic AI framework

Emotion-aware, real-time voice assistant with live visual feedback. Combines STT, LLM reasoning, emotion detection, and TTS in a low-latency, modular system.

A powerful application that uses AI to automatically summarise blog posts and articles. This tool helps users quickly extract key information from lengthy content, saving time while maintaining comprehension of essential points.

Code Samples for getting started with Building Multi-Agent apps with LangGraph

Code samples for beginners looking to get started with Agent Development via CrewAI framework

Summit-Sim uses human-in-the-loop review to generate curriculum-informed, interactive backcountry emergencies for dynamic Wilderness First Responder (WFR) training.

Runnable Python examples for LangChain, CrewAI, LangGraph, and Pydantic AI agents with real-world use cases.