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composo-ai/DishwasherBench

A dishwasher-loading game on a physical simulation of one real machine, built to benchmark language models and playable in a browser. The game inside is called Spotless.

TypeScript ◇ ai-agents MIT
★66STARS
⑂2FORKS
!48ISSUES
🏆#17,793GLOBAL RANK
🔥3DAYS TRENDING
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+10

STARS · LAST 30 DAYS

1

PER DAY

#1,824

MOST-STARRED TypeScript

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

DishwasherBench gained 10 stars in the last 30 days, about 1 a day, and now has 66. It is about 1 year old and has averaged roughly 66 stars a year. It ranks #1,824 among TypeScript repositories and #17,793 across all languages on GitHubRepo.

Trending Record

DishwasherBench has maintained a continuous presence across global trending indexes, peaking at #3677. Below is the 30-day activity profile:

💡 Overview

DishwasherBench is an open-source project written in TypeScript: A dishwasher-loading game on a physical simulation of one real machine, built to benchmark language models and playable in a browser. The game inside is called Spotless.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, benchmark, evaluation. 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 TypeScript 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
$ npm install DishwasherBench

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Node.js >= 18, npm, pnpm or bun

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

DishwasherBench coordinates its core functionality through a modular TypeScript 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 DishwasherBench.

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 DishwasherBench using your package manager: `npm install DishwasherBench`

2

Initialize your project workspace or configuration file for DishwasherBench.

3

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

4

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

👍 Strengths

Active community backing with 66 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in TypeScript 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 TypeScript 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

F
freeCodeCamp/freeCodeCamp ★ 456.6K TypeScript

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D
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👥 Who Should Use This

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

🏆 Nearby in the Rankings

composo-ai/DishwasherBench is currently ranked #17,793 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#17,763 termimus/termimus-ssh TypeScript ★ 67 Compare ↗
#17,763 faiface/ai-pair TypeScript ★ 67 Compare ↗
#17,763 ArkGravity/burrow Go ★ 67 Compare ↗
#17,763 VD171/VD-Google Kotlin ★ 67 Compare ↗
#17,763 dmzebro/PS5_RPCS3 C++ ★ 67 Compare ↗
#17,793 composo-ai/DishwasherBench This Project TypeScript ★ 66
#17,793 toretore/zippy Ruby ★ 66 Compare ↗
#17,793 hyphaltip/genome-scripts Perl ★ 66 Compare ↗
#17,793 zacharyvoase/zenqueue Python ★ 66 Compare ↗
#17,793 jerodsanto/wordpress-console PHP ★ 66 Compare ↗
#17,793 spazproject/spaz-desktop-air JavaScript ★ 66 Compare ↗
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Frequently Asked Questions

What does DishwasherBench do? +

A dishwasher-loading game on a physical simulation of one real machine, built to benchmark language models and playable in a browser. The game inside is called Spotless.

What language is DishwasherBench written in? +

The primary language is TypeScript. Topics include: ai-agents, benchmark, evaluation, game, llm.

Is DishwasherBench actively maintained? +

Yes, the last recorded push was on Oct 14, 2026 with 48 open issues being tracked.

How many stars does DishwasherBench have? +

DishwasherBench has 66 stars and 2 forks on GitHub.

How does DishwasherBench rank among GitHub repositories? +

With 66 stars, composo-ai/DishwasherBench is ranked #17,793 globally across all repositories tracked on GitHubRepo and #1,824 among TypeScript projects.

What license is DishwasherBench distributed under? +

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

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