What is Generative-AI-Multi-Agent-System?

60/100
Trust Score (C)
⚠️ Use Caution

Generative-AI-Multi-Agent-System is a devops that A multi-agent system for managing the software development lifecycle, including planning, development, testing, and deployment.. It has a Nerq Trust Score of 60/100 (C). 2 GitHub stars. Published by sahiltambe. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

60
TRUST SCORE
C
GRADE
2
STARS
0
DOWNLOADS

What Generative-AI-Multi-Agent-System Does

Generative-AI-Multi-Agent-System is a agent in the devops category. A multi-agent system for managing the software development lifecycle, including planning, development, testing, and deployment.. It is published by sahiltambe and is open source. With 2 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Generative-AI-Multi-Agent-System

Generative-AI-Multi-Agent-System is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

Authorsahiltambe
Categorydevops
LicenseMIT
Typeagent
SourceView on GitHub
Security Score0/100
Activity Score1/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=generative-ai-multi-agent-system

Setup guide · Full safety report · Production review · Is it safe?

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Frequently Asked Questions

What is Generative-AI-Multi-Agent-System used for?
Generative-AI-Multi-Agent-System is a devops tool. A multi-agent system for managing the software development lifecycle, including planning, development, testing, and deployment..
Is Generative-AI-Multi-Agent-System free?
License: MIT. Generative-AI-Multi-Agent-System has 2 GitHub stars.
Is Generative-AI-Multi-Agent-System safe?
Generative-AI-Multi-Agent-System has a Nerq Trust Score of 60/100 (C). Use with caution.
What are alternatives to Generative-AI-Multi-Agent-System?
Top alternatives: ansible, Flowise, learn-claude-code. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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