Maintainer of this skill?
Automated security scan — not a certification.
by MiniMax-AI
The OpenAI Agents API, open source and self-hosted. Run Codex, Claude Code or MiniMax Code on your own machines with your own models, through the official OpenAI SDK.
# Add to your Claude Code skills
git clone https://github.com/MiniMax-AI/OpenAgentCoreGuides for using ai agents skills like OpenAgentCore.
Last scanned: 10/1/2026
{
"issues": [
{
"file": "README.md",
"line": 48,
"type": "remote-install",
"message": "Install command (remote install script piped to a shell — review the source before running): \"curl -fsSL https://github.com/MiniMax-AI/OpenAgentCore/releases/latest/download/\"",
"severity": "low"
}
],
"status": "PASSED",
"scannedAt": "2026-10-01T10:45:22.206Z",
"npmAuditRan": true,
"pipAuditRan": true,
"promptInjectionRan": true
}See how OpenAgentCore compares with popular alternatives.
OpenAgentCore is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by MiniMax-AI. The OpenAI Agents API, open source and self-hosted. Run Codex, Claude Code or MiniMax Code on your own machines with your own models, through the official OpenAI SDK. It has 240 GitHub stars.
Yes. OpenAgentCore passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
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).
OpenAgentCore is primarily written in Go. It is open-source under MiniMax-AI on GitHub, so you can review or fork the full source.
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
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
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.
Automated security scan — not a certification.
The OpenAI Agents API, open source and self-hosted. Run Codex, Claude Code or MiniMax Code on your own machines with your own models, through the official OpenAI SDK.
Website · Documentation · Quickstart · Contributing
OPENAI_BASE_URL and the official OpenAI SDK, or plain HTTP, works unchanged.
Install Core, Web and PostgreSQL on Linux or macOS with Docker:
curl -fsSL https://openagentcore.dev/install.sh | bash
On Windows, in PowerShell:
irm https://github.com/MiniMax-AI/OpenAgentCore/releases/latest/download/install.ps1 | iex
In Web, sign in with the Core key the installer prints, configure the public address, set a default model, issue a Project API key and add sandbox capacity (a node or E2B). Install Core and Web covers each step.
Then call it with the OpenAI SDK, with OPENAI_BASE_URL set to your API base URL (https://core.example/v1) and OPENAI_API_KEY to the Project API key:
from openai import OpenAI
client = OpenAI() # reads OPENAI_BASE_URL and OPENAI_API_KEY
session = client.beta.agents.sessions.create(
environment={"type": "openai_hosted"},
input="Create /workspace/hello.txt with a short greeting, then describe it.",
extra_body={"agent": {"x_agents_core": {"harness": "codex"}}},
)
print(session.id)
Run your first Session waits for the result and reads it back.
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 Architecture.
| I want to | Start with |
|---|---|
| Install and operate an installation | Install Core and Web, then Operations |
| Build an application on the API | Run your first Session, then the Agents API guide |
| See a complete application | Examples |
| Run agents on my own machine | Run self-hosted Sessions |
| Check Harness capabilities and limits | Harness capabilities |
| Understand the design | Architecture |
| Add a sandbox, Harness or other component | Develop OpenAgentCore |
Read CONTRIBUTING.md before changing code. Report bugs and ask questions in GitHub Issues. Released under the MIT License.