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AMD-AGI
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AMD-AGI/AgentKernelArena

AgentKernelArena provides an end-to-end siloed-benchmarking environment where different LLM-powered agents—such as Cursor Agent, Claude Code, Codex, SWE-agent, and GEAK—can be evaluated side-by-side on the same GPU kernel tasks, using objective and reproducible metrics.

Python ◇ agent-evaluation Apache-2.0
★119STARS
⑂14FORKS
!19ISSUES
🏆#6,329GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Star History

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Interactive star growth chart for AMD-AGI/AgentKernelArena
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#722

MOST-STARRED Python

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

AgentKernelArena gained 10 stars in the last 30 days, about 1 a day, and now has 119. It is about 1 year old and has averaged roughly 119 stars a year. It ranks #722 among Python repositories and #6,329 across all languages on GitHubRepo.

Trending Record

AgentKernelArena has maintained a continuous presence across global trending indexes, peaking at #3451. Below is the 30-day activity profile:

💡 Overview

AgentKernelArena is an open-source project written in Python: AgentKernelArena provides an end-to-end siloed-benchmarking environment where different LLM-powered agents—such as Cursor Agent, Claude Code, Codex, SWE-agent, and GEAK—can be evaluated side-by-side on the same GPU kernel tasks, using objective and reproducible metrics.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-evaluation, gpu-kernels, llamas. 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 Python 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
$ pip install AgentKernelArena

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

AgentKernelArena coordinates its core functionality through a modular Python 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 AgentKernelArena.

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 AgentKernelArena using your package manager: `pip install AgentKernelArena`

2

Initialize your project workspace or configuration file for AgentKernelArena.

3

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

4

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

👍 Strengths

Active community backing with 118 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python 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 Python 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.

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👥 Who Should Use This

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

🏆 Nearby in the Rankings

AMD-AGI/AgentKernelArena is currently ranked #6,329 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#6,316 Infomaniak/desktop-kDrive C++ ★ 120 Compare ↗
#6,316 mkizka/linkat TypeScript ★ 120 Compare ↗
#6,316 arcuru/eidetica Rust ★ 120 Compare ↗
#6,316 n0an/VivaDicta Swift ★ 120 Compare ↗
#6,316 techomancer/iris Rust ★ 120 Compare ↗
#6,329 AMD-AGI/AgentKernelArena This Project Python ★ 119
#6,329 adkron/actsaswizard Ruby ★ 119 Compare ↗
#6,329 rvirding/leex Erlang ★ 119 Compare ↗
#6,329 rnk/django-media-bundler Python ★ 119 Compare ↗
#6,329 simongregory/actionscript3-tmbundle ActionScript ★ 119 Compare ↗
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Frequently Asked Questions

What does AgentKernelArena do? +

AgentKernelArena provides an end-to-end siloed-benchmarking environment where different LLM-powered agents—such as Cursor Agent, Claude Code, Codex, SWE-agent, and GEAK—can be evaluated side-by-side on the same GPU kernel tasks, using objective and reproducible metrics.

What language is AgentKernelArena written in? +

The primary language is Python. Topics include: agent-evaluation, gpu-kernels, llamas.

Is AgentKernelArena actively maintained? +

Yes, the last recorded push was on Sep 25, 2026 with 19 open issues being tracked.

How many stars does AgentKernelArena have? +

AgentKernelArena has 119 stars and 14 forks on GitHub.

How does AgentKernelArena rank among GitHub repositories? +

With 119 stars, AMD-AGI/AgentKernelArena is ranked #6,329 globally across all repositories tracked on GitHubRepo and #722 among Python projects.

What license is AgentKernelArena distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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