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YoKONCy
Home / Rust / TriviumDB

YoKONCy/TriviumDB

A lightweight embedded database engine that natively fuses vector search, graph, and document-oriented metadata within a single storage kernel — ready to use the moment data is written.

Rust ◇ agent Apache-2.0
★183STARS
⑂12FORKS
!1ISSUES
🏆#16,570GLOBAL RANK
🔥8DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

TriviumDB is TriviumDB is an open-source project written in Rust: A lightweight embedded database engine that natively fuses vector search, graph, and document-oriented metadata within a single storage kernel — ready to use the moment data is written..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), YoKONCy/TriviumDB has accumulated 183 GitHub stars and 12 forks. It is written in Rust, licensed under Apache-2.0, and ranks #16,570 globally. It is actively maintained with the latest commit recorded on Oct 21, 2026.”
Repository YoKONCy/TriviumDB ↗
Primary Category agent
Language & Stack Rust
Software License Apache-2.0
Community Traction ★ 183 stars · ⑂ 12 forks · #16,570 globally
Maintenance ● Active (Last commit: Oct 21, 2026) · 1 open issues
Target Audience Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 93/100 · Grade A+
✅
Is TriviumDB actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, TriviumDB is actively maintained. Continuous telemetry recorded the last code commit on Oct 21, 2026 (9 days ago). Supported by 183 stars and 12 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Oct 21, 2026
9 days since last push
Issue Backlog
1 Open Issues
Healthy Issue Cadence
Community Backing
12 Forks
183 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for YoKONCy/TriviumDB
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,589

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+0+3+10

TriviumDB gained 10 stars in the last 30 days, about 1 a day, and now has 183. It is about 1 year old and has averaged roughly 183 stars a year. It ranks #1,589 among Rust repositories and #16,570 across all languages on GitHubRepo.

Trending Record

TriviumDB has maintained a continuous presence across global trending indexes, peaking at #14674. Below is the 30-day activity profile:

💡 Overview

TriviumDB is an open-source project written in Rust: A lightweight embedded database engine that natively fuses vector search, graph, and document-oriented metadata within a single storage kernel — ready to use the moment data is written.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, ann, database. 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 TriviumDB

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

TriviumDB 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 TriviumDB.

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 TriviumDB using your package manager: `cargo install TriviumDB`

2

Initialize your project workspace or configuration file for TriviumDB.

3

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

4

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

👍 Strengths

Active community backing with 183 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 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.

⇄ Alternatives & Direct Competitors

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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

YoKONCy/TriviumDB is currently ranked #16,570 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#16,535 okooo5km/Skills4U Python ★ 184 Compare ↗
#16,535 KyThuatUAV/ESP32_FC C++ ★ 184 Compare ↗
#16,535 makevoid/motion-graphics-music-video-skill Ruby ★ 184 Compare ↗
#16,535 afterhours-crew/afterhours-2015 Rust ★ 184 Compare ↗
#16,535 alex0ptr/once Go ★ 184 Compare ↗
#16,570 YoKONCy/TriviumDB This Project Rust ★ 183
#16,570 justingit/dada-mail Perl ★ 183 Compare ↗
#16,570 emacscollective/auto-compile Emacs Lisp ★ 183 Compare ↗
#16,570 nakajima/rack-flash Ruby ★ 183 Compare ↗
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#16,570 simonw/geocoders Python ★ 183 Compare ↗
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Frequently Asked Questions

What does TriviumDB do? +

A lightweight embedded database engine that natively fuses vector search, graph, and document-oriented metadata within a single storage kernel — ready to use the moment data is written.

Is TriviumDB actively maintained in 2026? +

Yes, TriviumDB is actively maintained. The latest code push was recorded on Oct 21, 2026 (9 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 183 stars and 1 open issues.

What language is TriviumDB written in? +

The primary language is Rust. Topics include: agent, ann, database, db, graph.

How many stars does TriviumDB have? +

TriviumDB has 183 stars and 12 forks on GitHub.

How does TriviumDB rank among GitHub repositories? +

With 183 stars, YoKONCy/TriviumDB is ranked #16,570 globally across all repositories tracked on GitHubRepo and #1,589 among Rust projects.

What license is TriviumDB distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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