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ethanplusai/codex-on-crack

Coordinate your models from Codex. Plan, delegate, use host tools, and review work across workspaces. Formerly Astra Flash Orchestrator.

JavaScript ◇ agent-orchestration MIT
★735STARS
⑂67FORKS
!5ISSUES
🏆#5,332GLOBAL RANK
🔥12DAYS TRENDING
🚀
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Momentum

+18

STARS · LAST 30 DAYS

1

PER DAY

#386

MOST-STARRED JavaScript

Window7 days30 days90 days
Stars gained+31+18+90
Per day411
Forks gained+5+3+10

codex-on-crack gained 18 stars in the last 30 days, about 1 a day, and now has 735. It is about 1 year old and has averaged roughly 735 stars a year. It ranks #386 among JavaScript repositories and #5,332 across all languages on GitHubRepo.

Trending Record

codex-on-crack has maintained a continuous presence across global trending indexes, peaking at #174. Below is the 30-day activity profile:

💡 Overview

astra-flash-orchestrator is an open-source project written in Python: Astra plans and reviews; DeepSeek Flash builds. A native Codex workflow with phased tasks, verification, safe installation and reversible setup.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-orchestration, ai-agents, codex. 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 astra-flash-orchestrator

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

astra-flash-orchestrator 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 astra-flash-orchestrator.

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 astra-flash-orchestrator using your package manager: `pip install astra-flash-orchestrator`

2

Initialize your project workspace or configuration file for astra-flash-orchestrator.

3

Import astra-flash-orchestrator into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `astra-flash-orchestrator --help` to verify successful setup.

👍 Strengths

Active community backing with 661 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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

ethanplusai/codex-on-crack is currently ranked #5,332 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#5,327 ashish0kumar/stormy Go ★ 736 Compare ↗
#5,327 ruma/ruma Rust ★ 736 Compare ↗
#5,327 DataDog/dd-trace-java Java ★ 736 Compare ↗
#5,327 mikekazakov/nimble-commander C++ ★ 736 Compare ↗
#5,327 kitknox/rootshell Swift ★ 736 Compare ↗
#5,332 ethanplusai/codex-on-crack This Project JavaScript ★ 735
#5,332 saucecontrol/PhotoSauce C# ★ 735 Compare ↗
#5,332 lynx-family/lynx-stack TypeScript ★ 735 Compare ↗
#5,335 TheDuffman85/crowdsec-web-ui TypeScript ★ 734 Compare ↗
#5,335 cnpm/cnpmcore TypeScript ★ 734 Compare ↗
#5,335 togatoga/karukan Rust ★ 734 Compare ↗

Frequently Asked Questions

What does codex-on-crack do? +

Coordinate your models from Codex. Plan, delegate, use host tools, and review work across workspaces. Formerly Astra Flash Orchestrator.

What language is codex-on-crack written in? +

The primary language is JavaScript. Topics include: agent-orchestration, ai-agents, codex, codex-skills, deepseek.

Is codex-on-crack actively maintained? +

Yes, the last recorded push was on Oct 3, 2026 with 5 open issues being tracked.

How many stars does codex-on-crack have? +

codex-on-crack has 735 stars and 67 forks on GitHub.

How does codex-on-crack rank among GitHub repositories? +

With 735 stars, ethanplusai/codex-on-crack is ranked #5,332 globally across all repositories tracked on GitHubRepo and #386 among JavaScript projects.

What license is codex-on-crack distributed under? +

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

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