This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches.

A framework for building multi-agent AI systems. Enables LLMs to collaborate through hierarchical organization, parallel task execution, and extensible tools.

A technical report / research paper repository for tool integrated reasoning.

Comprehensive guide for building AI tools using Model Context Protocol (MCP). Learn to develop, secure, and deploy production-ready AI integrations.

Agentic framework for dynamic function calling across latest LLMs (gpt-4o, gemini-2.0-flash, groq modes, and anthropic models). Converts Python functions into provider-specific schemas for autonomous tool use. Features unified API, JSON schema generation, and integrated tool execution handling.

AI Assistant with Chainlit Interface A multi-functional AI chatbot built with Chainlit, supporting tools like weather updates, news, jokes, currency exchange, and intelligent agents for writing, email generation, prompt egineering and translation. Users can switch between LLMs like Gemini, Llama, and Exaone, with interactive UI and chat history

This production-ready AI system automates customer support with multi-step workflows, tool integration, stateful conversations, and real-time performance monitoring.

iKOMA – Autonomous local AI assistant with secure internet search, continuous plan-execute-reflect loops, real-time dashboards, and safety-first guardrails.

A Slidev presentation and developer guide to the Model Context Protocol (MCP) by Anthropic, covering AI integration, LLM tool use, core concepts, and implementation examples for AI agents. #mcp #a

ChoiceCraft AI gives you dual-perspective answers — calm empathy from a Therapist and blunt honesty from a Chaoser.

Tiny Automation Manager

An end-to-end example demonstrating how to use Model Context Protocol (MCP) over STDIO in .NET to expose server-side tools and consume them from a client, then feed tool results into a local Ollama-hosted LLM for reasoning and response generation.

This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches.

Project template providing structured initialization for tool integration and configuration

This project implements a Python LLM-based agent capable of routing user requests to external tools, with a focus on Left-to-Right arithmetic evaluation. The agent CLI integrates tool invocation, JSON-only outputs, and robust expression handling including parentheses and syntax validation.

MCP-Agentic AI is an agentic AI framework built around the Model Context Protocol (MCP). It enables modular AI agents to connect to external tools, data sources or services, and orchestrate smart workflows autonomously. The project demonstrates how you can build an AI “agent” that uses MCP servers / tool endpoints.

LangGraph-powered AI agent with autonomous web search and data retrieval capabilities. Multi-step reasoning system for intelligent information gathering.

SynMap generates a syntenic dotplot between two organisms and identifies syntenic regions

AtLoop — agentic task loop for tool-integrated automation.

A ReAct Chatbot Agent (RAG + Search tool)

🕒 Explore how to build a .NET MCP server and client to interact with server-side tools and leverage Ollama for dynamic response generation.

🎯 Build effective AI evaluations through a hands-on tutorial, using a realistic agent to enhance your production system skills.