What is MakerAi?

59/100
Trust Score (D)
⚠️ Use Caution

MakerAi is a infrastructure that The AI Operating System for Delphi. 100% native framework with RAG 2.0 for knowledge retrieval, autonomous agents with semantic memory, visual workflow orchestration, and universal LLM connector. Supp. It has a Nerq Trust Score of 59/100 (D). 123 GitHub stars. Published by Unknown. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

59
TRUST SCORE
D
GRADE
123
STARS
0
DOWNLOADS

What MakerAi Does

MakerAi is a agent in the infrastructure category. The AI Operating System for Delphi. 100% native framework with RAG 2.0 for knowledge retrieval, autonomous agents with semantic memory, visual workflow orchestration, and universal LLM connector. Supports OpenAI, Claude, Gemini, Ollama, and more. Enterprise-grade AI for Delphi 10.3+. It is published by an independent developer and has no specified license. With 123 GitHub stars and 0 downloads, it has a growing community of users and contributors.

Who Should Use MakerAi

MakerAi is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorUnknown
Categoryinfrastructure
LicenseNot specified
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=gustavoeenriquez-makerai

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

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Frequently Asked Questions

What is MakerAi used for?
MakerAi is a infrastructure tool. The AI Operating System for Delphi. 100% native framework with RAG 2.0 for knowledge retrieval, autonomous agents with semantic memory, visual workflow orchestration, and universal LLM connector. Supp.
Is MakerAi free?
License: Check project page. MakerAi has 123 GitHub stars.
Is MakerAi safe?
MakerAi has a Nerq Trust Score of 59/100 (D). Use with caution.
What are alternatives to MakerAi?
Top alternatives: n8n, langflow, dify. See full comparison.

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

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