What is Karvis?
70/100
Trust Score (B)
✅ Safe
Karvis is a communication that Karvis 是一个运行在腾讯云 SCF 上的 Python AI Agent,旨在打造「数据完全私有」的个人第二大脑交互接口。. It has a Nerq Trust Score of 70/100 (B). 0 GitHub stars. Published by sameencai. Last analyzed May 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 1/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ✅ Transparency: License: MIT — Clear licensing
Trust & Safety Overview
70
TRUST SCORE
B
GRADE
0
STARS
0
DOWNLOADS
What Karvis Does
Karvis is a agent in the communication category. Karvis 是一个运行在腾讯云 SCF 上的 Python AI Agent,旨在打造「数据完全私有」的个人第二大脑交互接口。. It is published by sameencai and is open source. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Karvis
Karvis is well-suited for production use given its strong trust score and active community.
Details
| Author | sameencai |
|---|---|
| Category | communication |
| License | MIT |
| Type | agent |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 1/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=karvis
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| Real-Time-Voice-Cloning | 71 | 59.4K |
| ChatGPT | 59 | 54.4K |
| jan | 59 | 40.5K |
| ChatTTS | 74 | 38.7K |
| chatbox | 57 | 38.6K |
Frequently Asked Questions
What is Karvis used for?
Karvis is a communication tool. Karvis 是一个运行在腾讯云 SCF 上的 Python AI Agent,旨在打造「数据完全私有」的个人第二大脑交互接口。.
Is Karvis free?
License: MIT. Karvis has 0 GitHub stars.
Is Karvis safe?
Karvis has a Nerq Trust Score of 70/100 (B). Safe for production use.
What are alternatives to Karvis?
Top alternatives: Real-Time-Voice-Cloning, ChatGPT, jan. See full comparison.
Safety Report Is It Safe?
Alternatives Prediction
Trending Leaderboard
Discover MCP Servers
Packages Models
Stats API
Last updated May 2026. Trust scores based on automated analysis of public data.