Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.

A CLI tool for threat modeling and visualizing AI agents built using popular frameworks like LangGraph, AutoGen, CrewAI, and more.

OpenAI Agents SDK in Node.js / TypeScript

Circuitron: Agentic PCB Design Accelerator — Generate, plan, and layout circuits from natural language prompts.

Azure AI Foundry - Agents related sample code

Build your own AI-powered automation tools in the terminal with this extensible agent framework

An MCP server that runs AI-driven venture capitalist agents (Fred Wilson, Peter Thiel, etc.), whose thinking is continuously enriched by Octagon Private Markets' real-time deals, valuations, and deep research intelligence. Use it to spin up programmable "VC brains" for pitch feedback, diligence simulations, term sheet negotiations, and more.

✈️ AI-powered travel planning system with budget optimization, multi-source search, and personalized recommendations built on Supabase + PGVector, LangGraph Agents, Dragon DB, and NextJS 15, TailwindCSS

Native OpenAI Agents SDK session management implementation using Redis as the persistence layer.

Next-generation multi-agent AI platform with autonomous quality gates, real-time thinking processes, and cost-optimized orchestration. Built with OpenAI Agents SDK, FastAPI, and Next.js 15.

Multi-agent chat powered by openai-agents-sdk and Streamlit

🤖 My comprehensive learning journey through OpenAI Agents SDK - from basics to production-ready applications. Learning by teaching, building by doing. Inspired by expert educational resources, enhanced with personal insights and practical projects.

Educational repository containing Python programming guides, examples, and development resources

Agentic AI learning repo with notes, resources, and practice code covering Generative AI basics, OpenAI agents SDK, prompt engineering, memory, model settings, design patterns and many more.

🕷️ A lightweight Model Context Protocol (MCP) server that exposes Crawl4AI web scraping and crawling capabilities as tools for AI agents. Similar to Firecrawl's API but self-hosted and free. Perfect for integrating web scraping into your AI workflows with OpenAI Agents SDK, Cursor, Claude Code, and other MCP-compatible tools.

Complete educational guide with 100+ working code examples for building production-ready AI agents using the OpenAI Agents SDK. Learn to build and deploy scalable multi-agent systems in under 2 hours, going straight from 'Hello World' to enterprise deployment with Docker, Kubernetes, safety guardrails, and monitoring.

This project demonstrates the integration of OpenAI's Agents SDK with FastAPI featuring streaming responses, persistent session memory, and multi-agent orchestration for production-ready conversational AI apps.

Structured study materials, notes, and examples for mastering the OpenAI Agents SDK

Scrape, classify & chat over your LinkedIn Saved Posts with Supabase, pgvector, Vercel Edge Functions, Playwright MCP and OpenRouter + OpenAI LLMs.

Actors - a multi-agent AI system enabling client-side tool execution through callback mechanisms. Built with FastAPI and OpenAI's Agents SDK, it features intelligent agent orchestration, real-time streaming, MCP server integration, and Supabase auth/persistence. Framework for extensible AI workflows.