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qaml-ai/camelAI

camelAI — an AI coding assistant platform built on Cloudflare Workers and Durable Objects

TypeScript ◇ developer-tools MIT
★381STARS
⑂37FORKS
!2ISSUES
🏆#6,983GLOBAL RANK
🔥7DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#780

MOST-STARRED TypeScript

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

camelAI gained 10 stars in the last 30 days, about 1 a day, and now has 381. It is about 1 year old and has averaged roughly 381 stars a year. It ranks #780 among TypeScript repositories and #6,983 across all languages on GitHubRepo.

Trending Record

camelAI has maintained a continuous presence across global trending indexes, peaking at #1516. Below is the 30-day activity profile:

💡 Overview

camelAI is an open-source project written in TypeScript: camelAI — an AI coding assistant platform built on Cloudflare Workers and Durable Objects.

Engineered for speed, consistency, and developer ease, it solves common hurdles in TypeScript. 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 camelAI

⚙ 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

camelAI 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

Production System Integration

Embed camelAI into TypeScript backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open MIT license.

🚀 Getting Started

1

Install camelAI using your package manager: `npm install camelAI`

2

Initialize your project workspace or configuration file for camelAI.

3

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

4

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

👍 Strengths

Active community backing with 374 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

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freeCodeCamp/freeCodeCamp ★ 456.6K TypeScript

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deepseek-ai/deepseek-harness ★ 241.6K TypeScript

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This is the repo for Vue 2. For Vue 3, go to https://github.com/vuejs/core

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anomalyco/opencode ★ 211.5K TypeScript

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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

qaml-ai/camelAI is currently ranked #6,983 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#6,978 CommonCoreOntology/CommonCoreOntologies Python ★ 382 Compare ↗
#6,978 yiisoft/app PHP ★ 382 Compare ↗
#6,978 kivanio/brcobranca Ruby ★ 382 Compare ↗
#6,978 hardwood-hq/hardwood Java ★ 382 Compare ↗
#6,978 Merit-Systems/OpenInstinct TypeScript ★ 382 Compare ↗
#6,983 qaml-ai/camelAI This Project TypeScript ★ 381
#6,983 SulfurNitride/Fluorine-Manager C++ ★ 381 Compare ↗
#6,983 sudara/alonetone Ruby ★ 381 Compare ↗
#6,983 jamesturk/django-honeypot Python ★ 381 Compare ↗
#6,983 coin3d/coin C++ ★ 381 Compare ↗
#6,983 rubyforgood/casa Ruby ★ 381 Compare ↗

Frequently Asked Questions

What does camelAI do? +

camelAI — an AI coding assistant platform built on Cloudflare Workers and Durable Objects

What language is camelAI written in? +

The primary language is TypeScript. Topics include: software.

Is camelAI actively maintained? +

Yes, the last recorded push was on Oct 3, 2026 with 2 open issues being tracked.

How many stars does camelAI have? +

camelAI has 381 stars and 37 forks on GitHub.

How does camelAI rank among GitHub repositories? +

With 381 stars, qaml-ai/camelAI is ranked #6,983 globally across all repositories tracked on GitHubRepo and #780 among TypeScript projects.

What license is camelAI distributed under? +

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

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