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Mathews-Tom
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Mathews-Tom/armory

Curated, production-grade skills for AI coding agents. Battle-tested workflows for developers who use AI seriously.

Python ◇ ai-agents MIT
★332STARS
⑂52FORKS
!4ISSUES
🏆#12,716GLOBAL RANK
🔥13DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

armory is armory is an open-source project written in Python: Curated, production-grade skills for AI coding agents. Battle-tested workflows for developers who use AI seriously..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), Mathews-Tom/armory has accumulated 332 GitHub stars and 52 forks. It is written in Python, licensed under MIT, and ranks #12,716 globally. It is actively maintained with the latest commit recorded on Oct 17, 2026.”
Repository Mathews-Tom/armory ↗
Primary Category ai agents
Language & Stack Python
Software License MIT
Community Traction ★ 332 stars · ⑂ 52 forks · #12,716 globally
Maintenance ● Active (Last commit: Oct 17, 2026) · 4 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 93/100 · Grade A+
✅
Is armory actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, armory is actively maintained. Continuous telemetry recorded the last code commit on Oct 17, 2026 (14 days ago). Supported by 332 stars and 52 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Oct 17, 2026
14 days since last push
Issue Backlog
4 Open Issues
Healthy Issue Cadence
Community Backing
52 Forks
332 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for Mathews-Tom/armory
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,633

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+0+3+10

armory gained 10 stars in the last 30 days, about 1 a day, and now has 332. It is about 1 year old and has averaged roughly 332 stars a year. It ranks #1,633 among Python repositories and #12,716 across all languages on GitHubRepo.

Trending Record

armory has maintained a continuous presence across global trending indexes, peaking at #10789. Below is the 30-day activity profile:

💡 Overview

armory is an open-source project written in Python: Curated, production-grade skills for AI coding agents. Battle-tested workflows for developers who use AI seriously.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, claude-code, coding-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 armory

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

armory 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 armory.

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 armory using your package manager: `pip install armory`

2

Initialize your project workspace or configuration file for armory.

3

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

4

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

👍 Strengths

Active community backing with 332 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

Mathews-Tom/armory is currently ranked #12,716 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#12,699 yogeshwaran01/github-stats-terminal-style TypeScript ★ 333 Compare ↗
#12,699 spatie/laravel-slack-alerts PHP ★ 333 Compare ↗
#12,699 intel/tsffs Rust ★ 333 Compare ↗
#12,699 yicheng47/runner Rust ★ 333 Compare ↗
#12,699 Jeidoban/Ironsmith Swift ★ 333 Compare ↗
#12,716 Mathews-Tom/armory This Project Python ★ 332
#12,716 sous-chefs/ruby_rbenv Ruby ★ 332 Compare ↗
#12,716 novoid/filetags Python ★ 332 Compare ↗
#12,716 oripa/oripa Java ★ 332 Compare ↗
#12,716 sailfishos/sailfish-browser C++ ★ 332 Compare ↗
#12,716 zeroc-ice/ice-demos C++ ★ 332 Compare ↗
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Frequently Asked Questions

What does armory do? +

Curated, production-grade skills for AI coding agents. Battle-tested workflows for developers who use AI seriously.

Is armory actively maintained in 2026? +

Yes, armory is actively maintained. The latest code push was recorded on Oct 17, 2026 (14 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 332 stars and 4 open issues.

What language is armory written in? +

The primary language is Python. Topics include: ai-agents, claude-code, coding-agents, open-source, skills.

How many stars does armory have? +

armory has 332 stars and 52 forks on GitHub.

How does armory rank among GitHub repositories? +

With 332 stars, Mathews-Tom/armory is ranked #12,716 globally across all repositories tracked on GitHubRepo and #1,633 among Python projects.

What license is armory distributed under? +

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

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