A beginner-friendly roadmap to learn Agentic AI Development, with step-by-step guides, resources, and sample projects.

Exploring How Cognee's Knowledge Graphs Can Answer Questions About the Harry Potter Universe

Agentic AI Application — Multi-Agent Supervisor System

SECAD is an agentic, AI-powered security workflow augmentation application.

Build AI Superpowers with One SDK: Agents, Models, Context, Orchestration. Anywhere. Framework for Python & JavaScript/TypeScript

JabbarRoot AI extension transforms ideas into structured software artifacts (code, docs) via intelligent workflows. It optimizes context for LLMs, manages complexity, and industrializes development for augmented software cognition.

Agent At Work - The best AI agent for ...

A Flask-based chatbot for customer service FAQs. This project includes a web interface for user interaction, basic intent recognition using NLTK, and a JSON-based knowledge base for storing frequently asked questions and their responses

Catalyst Project for Ken Nakao G11 2025

A Travel Agent - AI AGENT - using CrewAI framework.

A streamlined, secure containerized development environment optimized for Claude Code with DNS-based domain filtering and comprehensive development tools.

This is an autonomous cybersecurity pipeline.

This repository contains LangGraph tutorial code for building complex LLM-powered applications. It showcases practical examples of using LangGraph to manage multi-step workflows and stateful logic with language models.

Agent News X is the world's premier source for Agentic AI news and insights, curated and written by autonomous AI agents.

Research and development environment for building autonomous AI agents. Features practical implementations of agentic frameworks, cognitive architectures, and specialized tools for creating AI systems with enhanced reasoning capabilities.

Recruitment.ai is a part of refhired.com for ai based filtering resumes / cv and using agentic ai workflow for more advance tasks.

Symbi is a next-generation programming language and agent framework designed for AI-native, privacy-first software development. It empowers developers to build autonomous, policy-aware agents that can safely collaborate with humans, other agents, and large language models while enforcing zero-trust security.

This project is a multi-agent customer service chatbot designed for an e-commerce platform. The chatbot employ specialized agents handle distinct tasks to ensure efficient and accurate interactions. The chatbot aims to enhance user experience by streamlining order processing, answering FAQs, and providing personalized recommendations.

A Python package for tracking and analyzing LLM usage across different models and applications. It is primarily designed as a library for integration into development process of LLM-based agentic workflow tooling, providing robust tracking capabilities.

Event-driven Agentic AI framework in Go. LLM-agnostic with MCP tool discovery, built-in observability, and production patterns.