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JoasASantos
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JoasASantos/NeuroSploit

NeuroSploit is an advanced, AI-powered penetration testing framework designed to automate and augment various aspects of offensive security operations.

Rust ◇ ai-agents MIT
★1.4KSTARS
⑂334FORKS
!1ISSUES
🏆#3,555GLOBAL RANK
🔥1DAYS TRENDING
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Momentum

+35

STARS · LAST 30 DAYS

1

PER DAY

#357

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+7+35+90
Per day111
Forks gained+2+7+17

NeuroSploit gained 35 stars in the last 30 days, about 1 a day, and now has 1.4K. It is about 1 year old and has averaged roughly 1.4K stars a year. It ranks #357 among Rust repositories and #3,555 across all languages on GitHubRepo.

Trending Record

NeuroSploit has maintained a continuous presence across global trending indexes, peaking at #4308. Below is the 30-day activity profile:

💡 Overview

NeuroSploit is an open-source project written in Rust: NeuroSploit is an advanced, AI-powered penetration testing framework designed to automate and augment various aspects of offensive security operations.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, ai-penetration-testing, ai-security. 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 Rust 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
$ cargo install NeuroSploit

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

NeuroSploit coordinates its core functionality through a modular Rust 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 NeuroSploit.

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 NeuroSploit using your package manager: `cargo install NeuroSploit`

2

Initialize your project workspace or configuration file for NeuroSploit.

3

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

4

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

👍 Strengths

Active community backing with 1,412 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Rust 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 Rust 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.

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👥 Who Should Use This

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

🏆 Nearby in the Rankings

JoasASantos/NeuroSploit is currently ranked #3,555 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does NeuroSploit do? +

NeuroSploit is an advanced, AI-powered penetration testing framework designed to automate and augment various aspects of offensive security operations.

What language is NeuroSploit written in? +

The primary language is Rust. Topics include: ai-agents, ai-penetration-testing, ai-security, ctf-tools, cybersecurity.

Is NeuroSploit actively maintained? +

Yes, the last recorded push was on Oct 3, 2026 with 1 open issues being tracked.

How many stars does NeuroSploit have? +

NeuroSploit has 1,412 stars and 334 forks on GitHub.

How does NeuroSploit rank among GitHub repositories? +

With 1,412 stars, JoasASantos/NeuroSploit is ranked #3,555 globally across all repositories tracked on GitHubRepo and #357 among Rust projects.

What license is NeuroSploit distributed under? +

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

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