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.
- Updated
Oct 5, 2025 - Jupyter Notebook
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.
A practical fork of github/spec-kit with patterns & templates for building scalable multi-agent AI systems. Ships production-ready stacks faster with OpenAI Agents SDK, MCP, A2A, Kubernetes, Dapr, and Ray. It also explicitly treats specifications, architecture history, prompt history, tests, and automated evaluations as first‑class artifacts.
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.
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
🕷️ 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.
Second attempt at creating a graphical representation of 'git diff'.
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.
Learn Agentic AI with notes, resources, and practice code covering Generative AI basics, OpenAI agents SDK, prompt engineering, memory, model settings, design patterns and many more.
Structured OpenAI Agents SDK guide with daily topic updates, practical code examples, and inline explanations.
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.
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