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ruvnet/RuVector

RuVector provides High Performance, Real-Time decisions and agent memory , Self-Learning Ai, Vector GNN DB built in Rust.

Rust ◇ ai MIT
★4.5KSTARS
⑂603FORKS
!342ISSUES
🏆#1,143GLOBAL RANK
🔥5DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for ruvnet/RuVector
CSV

Momentum

+113

STARS · LAST 30 DAYS

4

PER DAY

#123

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+28+113+360
Per day444
Forks gained+3+12+30

RuVector gained 113 stars in the last 30 days, about 4 a day, and now has 4.5K. It is about 1 year old and has averaged roughly 4.5K stars a year. It ranks #123 among Rust repositories and #1,143 across all languages on GitHubRepo.

Trending Record

RuVector has maintained a continuous presence across global trending indexes, peaking at #567. Below is the 30-day activity profile:

💡 Overview

RuVector is an open-source project written in Rust: RuVector provides High Performance, Real-Time decisions and agent memory , Self-Learning Ai, Vector GNN DB built in Rust.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, ai-ocr, attention-mechanism. 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 RuVector

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

RuVector 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 RuVector.

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 RuVector using your package manager: `cargo install RuVector`

2

Initialize your project workspace or configuration file for RuVector.

3

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

4

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

👍 Strengths

Active community backing with 4,520 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

ruvnet/RuVector is currently ranked #1,143 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does RuVector do? +

RuVector provides High Performance, Real-Time decisions and agent memory , Self-Learning Ai, Vector GNN DB built in Rust.

What language is RuVector written in? +

The primary language is Rust. Topics include: ai, ai-ocr, attention-mechanism, gnn, gnn-model.

Is RuVector actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 342 open issues being tracked.

How many stars does RuVector have? +

RuVector has 4,524 stars and 603 forks on GitHub.

How does RuVector rank among GitHub repositories? +

With 4,524 stars, ruvnet/RuVector is ranked #1,143 globally across all repositories tracked on GitHubRepo and #123 among Rust projects.

What license is RuVector distributed under? +

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

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