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MiniMax-AI
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MiniMax-AI/OpenAgentCore

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

★112STARS
⑂6FORKS
!5ISSUES
🏆#9,790GLOBAL RANK
🔥2DAYS TRENDING
🚀
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#996

MOST-STARRED Go

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

OpenAgentCore gained 10 stars in the last 30 days, about 1 a day, and now has 112. It is about 1 year old and has averaged roughly 112 stars a year. It ranks #996 among Go repositories and #9,790 across all languages on GitHubRepo.

Trending Record

OpenAgentCore has maintained a continuous presence across global trending indexes, peaking at #8972. Below is the 30-day activity profile:

💡 Overview

OpenAgentCore is an open-source project written in Go: Open-source, self-hosted implementation of the OpenAI Agents API with multiple native harnesses.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-runtime, ai-agents, claude-code. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Go for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ go install github.com/MiniMax-AI/OpenAgentCore@latest

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Go >= 1.21 runtime environment

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

OpenAgentCore coordinates its core functionality through a modular Go pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with OpenAgentCore.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install OpenAgentCore using your package manager: `go install github.com/MiniMax-AI/OpenAgentCore@latest`

2

Initialize your project workspace or configuration file for OpenAgentCore.

3

Import OpenAgentCore into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `OpenAgentCore --help` to verify successful setup.

👍 Strengths

Active community backing with 112 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Go for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Go and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

💡
Open Source Alternative to OpenAI API & ChatGPT Replaces proprietary subscriptions (Pay-per-token pricing with zero private data guarantees) with self-hosted freedom.
Explore all OpenAI API & ChatGPT alternatives →
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👥 Who Should Use This

Developers and engineering teams building with Go, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

MiniMax-AI/OpenAgentCore is currently ranked #9,790 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#9,752 cpjolicoeur/bb-ruby Ruby ★ 113 Compare ↗
#9,752 robmckinnon/rugalytics Ruby ★ 113 Compare ↗
#9,752 agent-labs-dev/fastbrowse Python ★ 113 Compare ↗
#9,752 CYBERVERSE-Research/skyline-speeder Rust ★ 113 Compare ↗
#9,752 breakstageaxe61/genspark-claw JavaScript ★ 113 Compare ↗
#9,790 MiniMax-AI/OpenAgentCore This Project Go ★ 112
#9,790 libingzheren/Jev-Mem Python ★ 112 Compare ↗
#9,790 bilipp/Lume Swift ★ 112 Compare ↗
#9,790 articraftresearch/Articraft Python ★ 112 Compare ↗
#9,790 slagyr/limelight Java ★ 112 Compare ↗
#9,790 lang/unicode_utils Ruby ★ 112 Compare ↗

Frequently Asked Questions

What does OpenAgentCore do? +

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

What language is OpenAgentCore written in? +

The primary language is Go. Topics include: agent-runtime, ai-agents, claude-code, codex, coding-agent.

Is OpenAgentCore actively maintained? +

Yes, the last recorded push was on Oct 1, 2026 with 5 open issues being tracked.

How many stars does OpenAgentCore have? +

OpenAgentCore has 112 stars and 6 forks on GitHub.

How does OpenAgentCore rank among GitHub repositories? +

With 112 stars, MiniMax-AI/OpenAgentCore is ranked #9,790 globally across all repositories tracked on GitHubRepo and #996 among Go projects.

What license is OpenAgentCore distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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