🐔 Agentic systems explained with chickens. Workflows, agents & orchestration made simple. Mermaid diagrams included

A Spring AI library that brings Claude Code-inspired tools and agent skills to your AI applications.

Hands-on tutorials for building AI agents from scratch. Learn LLM APIs, prompt engineering, tool calling, and the agent loop through practical examples.

A simple spring boot app demonstrating how to implement Evaluator Optimizer Workflow pattern using Spring AI

An implementation of a tool-using AI assistant for precise calculations. This project, part of a technical assessment, equips an LLM with a calculator to ensure mathematical accuracy.

Implementation of a tool-using agent in Python with LangChain. The agent is designed to dynamically select and use tools, such as API wrappers, to answer complex questions that require external data.

Implementation of a planning agent using LangGraph's state machines. The agent dynamically creates task lists and executes them sequentially, demonstrating a robust pattern for AI task decomposition.

AI Agents projects in Python.

Building Effective Agents explains the distinction between agents and workflows and introduces common patterns for both. In this project, I implement every workflow and agent pattern described in the LangChain and Anthropic blog from scratch using LangGraph with clean structure, clarity, and reproducible code

An implementation of the self-correction and reflection pattern using LangGraph. The agent generates a response, critiques it for errors or omissions, and then re-generates a refined answer.