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vxcontrol
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vxcontrol/pentagi

Fully autonomous AI Agents system capable of performing complex penetration testing tasks

Go ◇ ai-agents MIT
★25.1KSTARS
⑂3.2KFORKS
!18ISSUES
🏆#423GLOBAL RANK
🔥1DAYS TRENDING
🚀
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Momentum

+629

STARS · LAST 30 DAYS

21

PER DAY

#60

MOST-STARRED Go

Window7 days30 days90 days
Stars gained+147+629+1.9K
Per day212121
Forks gained+16+65+162

pentagi gained 629 stars in the last 30 days, about 21 a day, and now has 25.1K. It is about 2 years old and has averaged roughly 12.6K stars a year. It ranks #60 among Go repositories and #423 across all languages on GitHubRepo.

Trending Record

pentagi has maintained a continuous presence across global trending indexes, peaking at #1905. Below is the 30-day activity profile:

💡 Overview

pentagi is an open-source project written in Go: Fully autonomous AI Agents system capable of performing complex penetration testing tasks.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, ai-security-tool, anthropic. 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 Go 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
$ go install github.com/vxcontrol/pentagi@latest

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Go >= 1.21 runtime environment

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

pentagi coordinates its core functionality through a modular Go 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 pentagi.

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 pentagi using your package manager: `go install github.com/vxcontrol/pentagi@latest`

2

Initialize your project workspace or configuration file for pentagi.

3

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

4

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

👍 Strengths

Active community backing with 25,124 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Go 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 Go 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

💡
Open Source Alternative to OpenAI API & ChatGPT Replaces proprietary subscriptions (Pay-per-token pricing with zero private data guarantees) with self-hosted freedom.
Explore all OpenAI API & ChatGPT alternatives →
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👥 Who Should Use This

Developers and engineering teams building with Go, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

vxcontrol/pentagi is currently ranked #423 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#418 iBotPeaches/Apktool Java ★ 25.7K Compare ↗
#419 cilium/cilium Go ★ 25.6K Compare ↗
#420 zloirock/core-js JavaScript ★ 25.5K Compare ↗
#421 browserbase/stagehand TypeScript ★ 25.4K Compare ↗
#422 neoclide/coc.nvim TypeScript ★ 25.2K Compare ↗
#423 vxcontrol/pentagi This Project Go ★ 25.1K
#424 chromium/chromium — ★ 24.9K Compare ↗
#425 firefly-iii/firefly-iii PHP ★ 24.8K Compare ↗
#426 dolthub/dolt Go ★ 24.5K Compare ↗
#427 tursodatabase/turso Rust ★ 24.4K Compare ↗
#428 redisson/redisson Java ★ 24.4K Compare ↗

Frequently Asked Questions

What does pentagi do? +

Fully autonomous AI Agents system capable of performing complex penetration testing tasks

What language is pentagi written in? +

The primary language is Go. Topics include: ai-agents, ai-security-tool, anthropic, autonomous-agents, golang.

Is pentagi actively maintained? +

Yes, the last recorded push was on Sep 30, 2026 with 18 open issues being tracked.

How many stars does pentagi have? +

pentagi has 25,143 stars and 3,236 forks on GitHub.

How does pentagi rank among GitHub repositories? +

With 25,143 stars, vxcontrol/pentagi is ranked #423 globally across all repositories tracked on GitHubRepo and #60 among Go projects.

What license is pentagi distributed under? +

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

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