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openai-agents
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Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI
OpenTelemetry Instrumentation for AI Observability
OpenAI Agents SDK in Node.js / TypeScript
Practical system design, tools, and hands-on resources for building Gen-AI agents & agentic AI systems.
OpenAI Agents And Tools as MCP Server
AgentOS is a lightweight, single-file implementation that provides a robust foundation for building autonomous AI agents. It implements the core concepts outlined in Karpathy's Agent OS architecture while maintaining simplicity and extensibility.
A minimal, lightweight client designed to simplify SDK adoption into MCP
Template for agentic Chat & Memory Agents with Dapr runtime, UV simplicity, and OpenAI Agents SDK.
Python Library for using Arcade tools with the OpenAI Agents SDK
🧳 A state-of-the-art multi-agent travel planning system powered by OpenAI Agents SDK and LangGraph orchestration. Leverages Stagehand/Playwright for browser automation, Supabase for data persistence, and Firecrawl/Tavily for intelligent research.
A Model Context Protocol (MCP) TypeScript template with multi agents that can send Emails, schedule meetings and answer knowledge-base related questions.
provide python module as code interpreter tool for OpenAI Agent
Structured study materials, notes, and examples for mastering the OpenAI Agents SDK
An AI-powered platform that uses an agentic workflow to automatically generate Project Requirement Documents (PRDs).
openai agents chat demo. integration custom llm and mcp server and function tool
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 repo demonstrates how to build interactive AI agent interfaces using Chainlit. It combines LangChain, OpenAI/Gemini, and custom tools to enable seamless conversations and fast deployment of agent workflows with Python.
A smart browser-based chatbot built using Chainlit and the OpenAI Agents SDK. It handles user queries with intelligent responses and automatically stores the conversation in a JSON file. The project uses uv, a fast Python package manager, for dependency management and setup.
MCP Server Markup Language (MCPML) - A Python framework for building MCP Servers with CLI and OpenAI Agent support.