An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

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

Local-first, open-source tools for automating everyday work.

Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.

An open-source, code-first Java toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistants and multi-agent AI workflows.

An open-source, code-first Typescript toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

The .NET library to build AI agents with 25+ built-in connectors.

⚡ Набор решений для разработки LLM-приложений на русском языке с поддержкой GigaChat ⚡

Self-hosted alternative to OpenAI's Responses API compatible with Agents SDK and works with all model providers (Claude/R1/Qwen/Ollama etc)

Ruby AI Agents SDK - Inspired by OpenAI Agents SDK

A robust framework for building AI agents with multi-provider LLM support

The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework in Rust

A high performance C++ SDK for AI Agents

🤖 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.

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.

Demonstrate Agentic use of Model Context Protocol (MCP) server tools with several Agent Frameworks

Intelligent document search powered by agentic AI

Python Library for using Arcade tools with the OpenAI Agents SDK