What is MIRIX?

86/100
Trust Score (A)
✅ Safe

MIRIX is a personal_assistant that Mirix is a multi-agent personal assistant designed to track on-screen activities and answer user questions intelligently. By capturing real-time visual data and consolidating it into structured memori. It has a Nerq Trust Score of 86/100 (A). 3.5K GitHub stars. Published by Mirix-AI. Last analyzed March 2026.

Why This Score

Trust & Safety Overview

86
TRUST SCORE
A
GRADE
3.5K
STARS
0
DOWNLOADS

What MIRIX Does

MIRIX is a agent in the personal_assistant category. Mirix is a multi-agent personal assistant designed to track on-screen activities and answer user questions intelligently. By capturing real-time visual data and consolidating it into structured memories, Mirix transforms raw inputs into a rich knowledge base that adapts to your digital experiences.. It is published by Mirix-AI and is open source. With 3.5K GitHub stars and 0 downloads, it has a growing community of users and contributors.

Who Should Use MIRIX

MIRIX is well-suited for production use given its strong trust score and active community.

Details

AuthorMirix-AI
Categorypersonal_assistant
LicenseApache-2.0
Typeagent
SourceView on GitHub
Security Score1/100
Activity Score1/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=mirix-ai-mirix

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

Safer Alternatives

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Frequently Asked Questions

What is MIRIX used for?
MIRIX is a personal_assistant tool. Mirix is a multi-agent personal assistant designed to track on-screen activities and answer user questions intelligently. By capturing real-time visual data and consolidating it into structured memori.
Is MIRIX free?
License: Apache-2.0. MIRIX has 3.5K GitHub stars.
Is MIRIX safe?
MIRIX has a Nerq Trust Score of 86/100 (A). Safe for production use.
What are alternatives to MIRIX?
Top alternatives: OwnPilot, miniclawd, openclaw. See full comparison.

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