Rei Aios

C 64 completed
Framework
unknown / typescript · small
137
Files
26,546
LOC
0
Frameworks
4
Languages

Pipeline State

completed
Run ID
#341374
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
60.00
Framework unique
Isolation
Last stage change
2026-05-10 01:27:56
Deduplication group #47724
Member of a group with 4 similar repo(s) — this repo is canonical view group →
Top concepts (2)
Project DescriptionWeb Backend
Repobility · open methodology · https://repobility.com/research/

AI Prompt

Create a conceptual blueprint for an axiomatic operating system called Rei-AIOS. The system should manage cognitive resources rather than traditional hardware resources. I need to detail its architecture, which includes an AGI Layer, an AIOS Engine, and several core subsystems like the Rei Kernel, Formation Engine, and Toyosatomi Pipeline. Please ensure the design accounts for managing multiple LLMs, axiom-based reasoning, and multi-agent formations, and list the various LLM Adapters it supports.
typescript operating-system ai architecture llm axiomatic multi-agent design
Generated by gemma4:latest

Catalog Information

An axiomatic operating system that delivers an intelligent computing foundation based on D‑FUMT theory.

Description

Rei‑AIOS is an axiomatic operating system designed to provide a formal, intelligent computing foundation. It implements a runtime that manages AI workloads, orchestrates distributed services, and enforces resource constraints through a formal model. The system offers built‑in support for knowledge representation, formal verification of task execution, and dynamic scaling of compute resources. Targeted at researchers and developers building AI‑centric applications, it solves the problem of unpredictable resource usage and lack of formal guarantees in AI pipelines. By integrating a rigorous axiomatic framework, Rei‑AIOS distinguishes itself from conventional orchestration tools with its provable correctness and adaptability.

الوصف

يُقدّم Rei‑AIOS نظام تشغيل أساسي يهدف إلى توفير أساس حوسبة ذكي مبني على نظرية D‑FUMT. يعمل كنظام تشغيل رسمي يدير عبء عمل الذكاء الاصطناعي، وينسق الخدمات الموزعة، ويطبق قيود الموارد عبر نموذج رسمي. يتضمن دعمًا مدمجًا لتمثيل المعرفة، والتحقق الرسمي من تنفيذ المهام، وتوسيع الموارد الحاسوبية ديناميكيًا. يستهدف الباحثين والمطورين الذين يبنون تطبيقات تعتمد على الذكاء الاصطناعي، ويحل مشكلة عدم التنبؤ باستخدام الموارد ونقص الضمانات الرسمية في خطوط العمل. يميز Rei‑AIOS نفسه عن أدوات التنسيق التقليدية بقدرته على تقديم ضمانات صحيحة وقابلة للتوسع بفضل إطاره الأساسيات المنطقي.

Novelty

8/10

Tags

intelligent-computing axiomatic-runtime formal-verification resource-orchestration distributed-ai knowledge-representation ai-workflow-management

Claude Models

claude-opus-4.6

Quality Score

C
63.9/100
Structure
53
Code Quality
80
Documentation
60
Testing
40
Practices
66
Security
84
Dependencies
60

Strengths

  • Good security practices \u2014 no major issues detected
  • Properly licensed project

Weaknesses

  • No CI/CD configuration \u2014 manual testing and deployment
  • 1898 duplicate lines detected \u2014 consider DRY refactoring
  • 2 'god files' with >500 LOC need decomposition

Recommendations

  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency

Security & Health

8.6h
Tech Debt (A)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (1)
All rows above produced by Repobility · https://repobility.com
Apache-2.0
License
2.9%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

typescript
83.2%
html
9.9%
json
6.3%
markdown
0.7%

Frameworks

None detected

Concepts (2)

Analysis by Repobility (https://repobility.com) · MCP-ready
CategoryNameDescriptionConfidence
Repobility · code-quality intelligence · https://repobility.com
auto_descriptionProject Description従来のOSカーネルを公理体系で再構築する — D-FUMT理論に基づく知的計算基盤80%
auto_categoryWeb Backendweb-backend70%

Quality Timeline

1 quality score recorded.

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