openai-agents-go — Agent Tool by nlpodyssey

by nlpodyssey · Agent Tool · ★ 242

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About openai-agents-go

OpenAI Agents Go SDK The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. It is provider-agnostic, supporting the OpenAI Responses and Chat Completions APIs, as well as other LLMs. This is a Go port of OpenAI Agents Python SDK (see its license here). This project aims at being as close as possible to the original Python implementation, for both its behavior and the API. Core concepts: Agents: LLMs configured with instructions, tools, guardrails, and handoffs Handoffs: A specialized tool call used by the Agents SDK for transferring control between agents Guardrails: Configurable safety checks for input and output validation Explore the examples directory to see the SDK in action: Techniques

agentsaiartificial-intelligenceframeworkllmmulti-agent-frameworkopenai

Quick Facts

Stars242
Forks30
LanguageGo
CategoryAgent Tool
LicenseApache-2.0
Quality Score46.1/100
Open Issues7
Last Updated2026-03-26
Created2025-06-13
Platformsgo
Est. Tokens~68k

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Frequently Asked Questions

What is openai-agents-go?

openai-agents-go is A lightweight, powerful framework for multi-agent workflows in Go. It is categorized as a Agent Tool with 242 GitHub stars.

What programming language is openai-agents-go written in?

openai-agents-go is primarily written in Go. It covers topics such as agents, ai, artificial-intelligence.

How do I install or use openai-agents-go?

You can find installation instructions and usage details in the openai-agents-go GitHub repository at github.com/nlpodyssey/openai-agents-go. The project has 242 stars and 30 forks, indicating an active community.

What license does openai-agents-go use?

openai-agents-go is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to openai-agents-go?

The top alternatives to openai-agents-go on Agent Skills Hub include awesome-ai-sdks, tools, oreilly-ai-agents. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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