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jtaroreh/agystack

Closed-loop engineering workflow and agentic swarm orchestration plugin for Google Antigravity

Python ◇ antigravity MIT
★107STARS
⑂10FORKS
!1ISSUES
🏆#14,074GLOBAL RANK
🔥4DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,825

MOST-STARRED Python

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

agystack gained 10 stars in the last 30 days, about 1 a day, and now has 107. It is about 1 year old and has averaged roughly 107 stars a year. It ranks #1,825 among Python repositories and #14,074 across all languages on GitHubRepo.

Trending Record

agystack has maintained a continuous presence across global trending indexes, peaking at #1642. Below is the 30-day activity profile:

💡 Overview

agystack is an open-source project written in Python: Closed-loop engineering workflow and agentic swarm orchestration plugin for Google Antigravity.

Engineered for speed, consistency, and developer ease, it solves common hurdles in antigravity, closed-loop, cloud-agents. 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 agystack

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

agystack 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 agystack.

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 agystack using your package manager: `pip install agystack`

2

Initialize your project workspace or configuration file for agystack.

3

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

4

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

👍 Strengths

Active community backing with 103 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

jtaroreh/agystack is currently ranked #14,074 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#14,025 ceyyy427/finathink Python ★ 108 Compare ↗
#14,025 graygnatconsole/mcp-audit-tool Python ★ 108 Compare ↗
#14,025 a-shygun/Terrascope Python ★ 108 Compare ↗
#14,025 UniWAM/UniWAM Python ★ 108 Compare ↗
#14,025 BYTEX-TRADE/bytex C# ★ 108 Compare ↗
#14,074 jtaroreh/agystack This Project Python ★ 107
#14,074 ELLIOTTCABLE/git-blog Ruby ★ 107 Compare ↗
#14,074 dustin/twitty-twister Python ★ 107 Compare ↗
#14,074 signal11/PlayCap C++ ★ 107 Compare ↗
#14,074 djberg96/sys-filesystem Ruby ★ 107 Compare ↗
#14,074 kazu-yamamoto/Firemacs JavaScript ★ 107 Compare ↗

Frequently Asked Questions

What does agystack do? +

Closed-loop engineering workflow and agentic swarm orchestration plugin for Google Antigravity

What language is agystack written in? +

The primary language is Python. Topics include: antigravity, closed-loop, cloud-agents, cloud-swarm, engineering.

Is agystack actively maintained? +

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

How many stars does agystack have? +

agystack has 107 stars and 10 forks on GitHub.

How does agystack rank among GitHub repositories? +

With 107 stars, jtaroreh/agystack is ranked #14,074 globally across all repositories tracked on GitHubRepo and #1,825 among Python projects.

What license is agystack distributed under? +

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

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