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AMD-AGI/AgentKernelArena

AgentKernelArena is a platform for evaluating and training AI agents for GPU kernel optimization, combining realistic tasks, correctness validation, and performance-based rewards for reinforcement learning.

Python ◇ agent-evaluation Apache-2.0
★125STARS
⑂19FORKS
!16ISSUES
🏆#24,335GLOBAL RANK
🔥45DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

AgentKernelArena is 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..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), AMD-AGI/AgentKernelArena has accumulated 125 GitHub stars and 19 forks. It is written in Python, licensed under Apache-2.0, and ranks #24,335 globally. It is actively maintained with the latest commit recorded on Nov 11, 2026.”
Repository AMD-AGI/AgentKernelArena ↗
Primary Category agent evaluation
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 125 stars · ⑂ 19 forks · #24,335 globally
Maintenance ● Active (Last commit: Nov 11, 2026) · 16 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 93/100 · Grade A+
✅
Is AgentKernelArena actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, AgentKernelArena is actively maintained. Continuous telemetry recorded the last code commit on Nov 11, 2026 (2 days ago). Supported by 125 stars and 19 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 11, 2026
2 days since last push
Issue Backlog
16 Open Issues
Healthy Issue Cadence
Community Backing
19 Forks
125 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for AMD-AGI/AgentKernelArena
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Momentum

+5

STARS · LAST 30 DAYS

1

PER DAY

#3,322

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+5+5+90
Per day111
Forks gained+5+5+10

AgentKernelArena gained 5 stars in the last 30 days, about 1 a day, and now has 125. It is about 1 year old and has averaged roughly 125 stars a year. It ranks #3,322 among Python repositories and #24,335 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.

⇄ Alternatives & Direct Competitors

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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 #24,335 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#24,223 qnfn/GRport Python ★ 126 Compare ↗
#24,223 inclusionAI/IDM Python ★ 126 Compare ↗
#24,223 Aevonix/FlashAlign Python ★ 126 Compare ↗
#24,223 Shahrukhalid/nexonic-download-manager C# ★ 126 Compare ↗
#24,223 maluramichael/awesome-reverse-engineer-anything Python ★ 126 Compare ↗
#24,335 AMD-AGI/AgentKernelArena This Project Python ★ 125
#24,335 tog/tog Ruby ★ 125 Compare ↗
#24,335 dokterbob/django-agenda Python ★ 125 Compare ↗
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Frequently Asked Questions

What does AgentKernelArena do? +

AgentKernelArena is a platform for evaluating and training AI agents for GPU kernel optimization, combining realistic tasks, correctness validation, and performance-based rewards for reinforcement learning.

Is AgentKernelArena actively maintained in 2026? +

Yes, AgentKernelArena is actively maintained. The latest code push was recorded on Nov 11, 2026 (2 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 125 stars and 16 open issues.

What language is AgentKernelArena written in? +

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

How many stars does AgentKernelArena have? +

AgentKernelArena has 125 stars and 19 forks on GitHub.

How does AgentKernelArena rank among GitHub repositories? +

With 125 stars, AMD-AGI/AgentKernelArena is ranked #24,335 globally across all repositories tracked on GitHubRepo and #3,322 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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