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RuVector

ruvnet/RuVector

High Performance Real-Time Self-Learning Ai Vector GNN Memory DB

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

73views this month

4.5k stars603 forksLast push Sep 19, 2026 Rust MIT

Decision brief

RuVector integrates high-performance vector operations and graph neural networks in real-time applications with an emphasis on low-latency self-learning capabilities.

Good fit when

  • When you require fast, real-time vector processing alongside graph neural network operations for quick inference.
  • For use cases needing a memory database capability within the system that can handle AI-driven decision making.

Avoid when

  • Avoid if your project or environment cannot support Rust-based dependencies crucial for RuVector's performance.
  • Not advisable if comprehensive pre-trained model libraries like those provided by ONNX are a requirement, as RuVector focuses more on its unique real-time and self-learning aspects.
Pricing:
freemium - The MIT license is free to use for both personal and commercial purposes but requires redistribution of source code under the MIT License if modifications are made.
Requirements:
Must have a Rust-supported environment.; Systems using RuVector must be designed to handle real-time data processing efficiently.

Observed Jul 17, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Very active (0d since push)
As of Sep 19, 2026
Provenance
Not a fork · Personal account
As of Sep 19, 2026
Security (OSV)
No lockfile
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

cargo add RuVector
crates.io

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

RuVector is built in Rust to deliver high performance, real-time capabilities, self-learning AI, vector operations, and graph neural networks with memory database functionalities.

Capability facts

CLI
CLI entrypoint

Source: package.json:bin|scripts · Sep 19, 2026

MCP server
No MCP server detected

Source: repo_scan · Sep 19, 2026

Languages
rust, javascript

Source: github.language+package.json · Sep 19, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Node.js runtimeNode.js

Source: README excerpt (regex_v1, Sep 19, 2026)

| Node.js and TypeScript | [`ruvector`](https://www.npmjs.com/package/ruvector) | Local p
Source link

Tags

README

Deployment surfaces Surface Package or crate Data boundary Node.js and TypeScript Local process and local files Rust Local process and local files Browser Browser memory and browser storage HTTP service Your service boundary PostgreSQL Your database boundary RVF cognitive contain...

For agents

This page has a .md twin and JSON over the API.

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