🐔 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.

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

AI Agents projects in Python.

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.

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.