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

An MCP extension package for OpenAI Agents SDK

Practical system design, tools, and hands-on resources for building Gen-AI agents & agentic AI systems.

OpenAI Agents And Tools as MCP Server

OpenAI Agents adapter for Livekit

A minimal, lightweight client designed to simplify SDK adoption into MCP

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.

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

provide python module as code interpreter tool for OpenAI Agent

🧳 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.

openai agents chat demo. integration custom llm and mcp server and function tool

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.

MCP Server Markup Language (MCPML) - A Python framework for building MCP Servers with CLI and OpenAI Agent support.

AI-agents based fitness research and planning system 🏋🏾🌱

My OpenAI agents SDK playground

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.

Conversational agent with Gradio interface (Voice/Text) that uses the Model Context Protocol (MCP) as a bridge to interact with Odoo (via XML-RPC) using OpenAI Agents SDK. Focused on sales tasks (customers, products, quotations).

build deep search agents on openai-agents