BitterSecurity/Decepticon
Autonomous Hacking Agent for Red Team
Star History
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+141
STARS · LAST 30 DAYS
5
PER DAY
#241
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +35 | +141 | +450 |
| Per day | 5 | 5 | 5 |
| Forks gained | +5 | +21 | +53 |
Decepticon gained 141 stars in the last 30 days, about 5 a day, and now has 5.6K. It is about 1 year old and has averaged roughly 5.6K stars a year. It ranks #241 among Python repositories and #1,528 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#3130
BEST RANK
Oct 3, 2026
FIRST APPEARANCE
Active
STATUS TODAY
Decepticon has maintained a continuous presence across global trending indexes, peaking at #3130. Below is the 30-day activity profile:
💡 Overview
Decepticon is an open-source project written in Python: Autonomous Hacking Agent for Red Team.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, ai, cybersecurity. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install Decepticon⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
Decepticon 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 Decepticon.
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
Install Decepticon using your package manager: `pip install Decepticon`
Initialize your project workspace or configuration file for Decepticon.
Import Decepticon into your codebase or invoke it directly from your terminal.
Execute your test suite or run `Decepticon --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
BitterSecurity/Decepticon is currently ranked #1,528 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #1,523 | diffplug/spotless | Java | ★ 5.7K | Compare ↗ |
| #1,524 | Superalgos/Superalgos | JavaScript | ★ 5.7K | Compare ↗ |
| #1,525 | cri-o/cri-o | Go | ★ 5.7K | Compare ↗ |
| #1,526 | middleapi/orpc | TypeScript | ★ 5.7K | Compare ↗ |
| #1,527 | timber/timber | PHP | ★ 5.7K | Compare ↗ |
| #1,528 | BitterSecurity/Decepticon This Project | Python | ★ 5.6K | |
| #1,529 | react/metro | JavaScript | ★ 5.6K | Compare ↗ |
| #1,530 | QuipNetwork/quip-validator | Rust | ★ 5.6K | Compare ↗ |
| #1,531 | freelensapp/freelens | TypeScript | ★ 5.6K | Compare ↗ |
| #1,532 | mruby/mruby | C | ★ 5.6K | Compare ↗ |
| #1,533 | libp2p/rust-libp2p | Rust | ★ 5.6K | Compare ↗ |
Frequently Asked Questions
What does Decepticon do? +
Autonomous Hacking Agent for Red Team
What language is Decepticon written in? +
The primary language is Python. Topics include: agent, ai, cybersecurity, generative-ai, hacking.
Is Decepticon actively maintained? +
Yes, the last recorded push was on Oct 3, 2026 with 0 open issues being tracked.
How many stars does Decepticon have? +
Decepticon has 5,644 stars and 1,067 forks on GitHub.
How does Decepticon rank among GitHub repositories? +
With 5,644 stars, BitterSecurity/Decepticon is ranked #1,528 globally across all repositories tracked on GitHubRepo and #241 among Python projects.
What license is Decepticon distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
