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reasoning-agents

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Agentic AI refers to AI systems capable of autonomous decision-making, planning, and executing tasks based on goals—acting like intelligent agents. These systems combine LLMs with tools, memory, and feedback loops to complete complex workflows with minimal human input.

  • Updated Jun 25, 2025
  • Jupyter Notebook

LangGraph is a powerful framework built on LangChain that enables the creation of stateful, multi-step, and agentic workflows using directed graphs. It simplifies complex LLM orchestration by allowing conditional branching, memory, and tool integrations in a visual and modular way.

  • Updated Jul 22, 2025
  • Jupyter Notebook

Five-agent certification readiness platform built on Microsoft Agent Framework, all three IQ layers (Foundry/Fabric/Work), and Microsoft Learn MCP — Agents League Hackathon.

  • Updated Jun 15, 2026
  • Python

AI-powered privacy policy analyzer built for Microsoft's Agents League Hackathon 2026 (Reasoning Agents track). 6 specialized AI agents extract, reason, detect dark patterns, score readability, audit user rights, and benchmark policies against TikTok, Facebook & more — covering GDPR/CCPA/PDPA/PIPEDA/LGPD/DPDPA. Built with Flask + Microsoft Foundry.

  • Updated Jun 29, 2026
  • HTML

The False Readiness Firewall: Microsoft Agent Framework + Fabric IQ prove semantic conflicts with deterministic SQL, quantify learner and budget impact, and gate canonical meaning to the human owner.

  • Updated Jun 26, 2026
  • Python

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