OpenAgentCore

Name: OpenAgentCore
Author: MiniMax-AI

Pending

Open-source, self-hosted implementation of the OpenAI Agents API with multiple native harnesses.

66stars

2forks

Installation

# Add to your Claude Code skills
git clone https://github.com/MiniMax-AI/OpenAgentCore

Getting Started

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README.md

Frequently Asked Questions

What is OpenAgentCore?

OpenAgentCore is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by MiniMax-AI. Open-source, self-hosted implementation of the OpenAI Agents API with multiple native harnesses. It has 66 GitHub stars.

Is OpenAgentCore safe to use?

OpenAgentCore's catalog security scan is still queued. You can run an instant dependency and prompt-injection check now with the "Scan for vulnerabilities" button above.

How do I install OpenAgentCore?

Clone the repository with "git clone https://github.com/MiniMax-AI/OpenAgentCore" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is OpenAgentCore written in?

OpenAgentCore is primarily written in Go. It is open-source under MiniMax-AI on GitHub, so you can review or fork the full source.

Are there alternatives to OpenAgentCore?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh OpenAgentCore against similar tools.

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⚠️ Third-Party Software Notice

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Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.

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OpenAgentCore

An open-source, self-hosted implementation of the OpenAI Agents API with multiple native harnesses.

Install · Call the API · Documentation · Contributing

English · 简体中文

What it is

OpenAgentCore runs AI agents on your own infrastructure behind the OpenAI Agents API.

Same API as OpenAI. Point the official OpenAI SDK, or plain HTTP, at your installation. No new client to learn.
Your choice of agent. Each Session runs a native harness: Codex, Claude Code or MiniMax Code, with the model provider you configure.
Your choice of machine. Agents work in a managed sandbox (Docker, microsandbox or E2B), or on your own Linux, macOS or Windows machine.
Every part is replaceable. Sandboxes, harnesses and model providers plug in through defined protocols.

Screenshots

Overview	Agent metrics

Install

On a Linux amd64 host with Docker and Python 3.9+:

curl -fsSL https://github.com/MiniMax-AI/OpenAgentCore/releases/latest/download/install.sh | bash

Then:

Sign in to Web, the admin console, with the Core key the installer created, and configure the domain and HTTPS.
Set a default model and issue a Project API key.
Add execution capacity: a node, E2B, or your own machine.
Run your first Session with the OpenAI SDK.

The installation guide covers each step, HTTPS and a quick local trial. Listen addresses, ports and other options: installation options.

How it fits together

OpenAgentCore architecture

Applications and operators use these Core APIs:

API	Path	Used by
Agents API	`/v1`	Your applications. Same protocol as OpenAI's Agents API
Core API	`/core/v1`	Operators, through Web

Core keeps durable execution state. The Runtime runs the chosen harness inside the Environment. Each connection is a defined protocol, so any part can be replaced on its own. See the architecture guide.

Documentation

I want to	Start with
Install and operate an installation	Installation, then operations
Build an application on the API	Quickstart, then the Agents API guide
See a complete application	Examples
Run agents on my own machine	Self-hosted execution
Check Harness capabilities and limits	Harness capabilities
Understand the design	Architecture
Add a sandbox, harness or other component	Developer guide

All pages: documentation index. Before changing code, read the contributor rules.