What is knowledge-assistant?

66/100
Trust Score (C)
⚠️ Use Caution

knowledge-assistant is a coding that A lightweight, no-cost, chat agent that answers questions from custom knowledge files. No vector databases, no embeddings, no complex setup - drop in your md files and start chatting. It has a Nerq Trust Score of 66/100 (C). 5 GitHub stars. Published by zebbern. Last analyzed April 2026.

Why This Score

Trust & Safety Overview

66
TRUST SCORE
C
GRADE
5
STARS
0
DOWNLOADS

What knowledge-assistant Does

knowledge-assistant is a agent in the coding category. A lightweight, no-cost, chat agent that answers questions from custom knowledge files. No vector databases, no embeddings, no complex setup - drop in your md files and start chatting. It is published by zebbern and has no specified license. With 5 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use knowledge-assistant

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

Details

Authorzebbern
Categorycoding
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=zebbern-knowledge-assistant

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

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Frequently Asked Questions

What is knowledge-assistant used for?
knowledge-assistant is a coding tool. A lightweight, no-cost, chat agent that answers questions from custom knowledge files. No vector databases, no embeddings, no complex setup - drop in your md files and start chatting.
Is knowledge-assistant free?
License: Check project page. knowledge-assistant has 5 GitHub stars.
Is knowledge-assistant safe?
knowledge-assistant has a Nerq Trust Score of 66/100 (C). Use with caution.
What are alternatives to knowledge-assistant?
Top alternatives: AutoGPT, ollama, langchain. See full comparison.

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

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