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trailheadapps/coral-cloud

Sample application that showcases Data Cloud, Agents and Prompts.

HTML ◇ agents CC0-1.0
★156STARS
⑂110FORKS
!1ISSUES
🏆#8,939GLOBAL RANK
🔥2DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#23

MOST-STARRED HTML

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

coral-cloud gained 10 stars in the last 30 days, about 1 a day, and now has 156. It is about 2 years old and has averaged roughly 78 stars a year. It ranks #23 among HTML repositories and #8,939 across all languages on GitHubRepo.

Trending Record

coral-cloud has maintained a continuous presence across global trending indexes, peaking at #7974. Below is the 30-day activity profile:

💡 Overview

coral-cloud is an open-source project written in HTML: Sample application that showcases Data Cloud, Agents and Prompts.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agents, ai, cloud. 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 HTML 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
$ git clone https://github.com/trailheadapps/coral-cloud.git
cd coral-cloud

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

HTML environment and standard tooling

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

coral-cloud coordinates its core functionality through a modular HTML 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 coral-cloud.

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 coral-cloud using your package manager: `git clone https://github.com/trailheadapps/coral-cloud.git`

2

Initialize your project workspace or configuration file for coral-cloud.

3

Import coral-cloud into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 156 GitHub stars and verified adoption.
Permissive open-source distribution under the CC0-1.0 license.
Built in HTML 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 HTML 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 HTML, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

trailheadapps/coral-cloud is currently ranked #8,939 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#8,922 bacula-web/bacula-web PHP ★ 157 Compare ↗
#8,922 berk/will_filter Ruby ★ 157 Compare ↗
#8,922 kjellm/munin-mysql Perl ★ 157 Compare ↗
#8,922 activefx/restful_authentication_tutorial Ruby ★ 157 Compare ↗
#8,922 opentape/opentape PHP ★ 157 Compare ↗
#8,939 trailheadapps/coral-cloud This Project HTML ★ 156
#8,939 miflow13/mochi-desktop Python ★ 156 Compare ↗
#8,939 raine/aven Rust ★ 156 Compare ↗
#8,939 home-assistant-HomeWhiz/home-assistant-HomeWhiz Python ★ 156 Compare ↗
#8,939 tenderlove/namecase Ruby ★ 156 Compare ↗
#8,939 rick/linode Ruby ★ 156 Compare ↗

Frequently Asked Questions

What does coral-cloud do? +

Sample application that showcases Data Cloud, Agents and Prompts.

What language is coral-cloud written in? +

The primary language is HTML. Topics include: agents, ai, cloud, data, prompt.

Is coral-cloud actively maintained? +

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

How many stars does coral-cloud have? +

coral-cloud has 156 stars and 110 forks on GitHub.

How does coral-cloud rank among GitHub repositories? +

With 156 stars, trailheadapps/coral-cloud is ranked #8,939 globally across all repositories tracked on GitHubRepo and #23 among HTML projects.

What license is coral-cloud distributed under? +

The repository reports a CC0-1.0 license. Always verify the repository LICENSE file for legal terms.

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