What is kaixa-jr?
64/100
Trust Score (C)
⚠️ Use Caution
kaixa-jr is a devops that Autonomous AI Agent for Continuous Software Improvement. It has a Nerq Trust Score of 64/100 (C). 0 GitHub stars. Published by Kaixadagua. Last analyzed September 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
64
TRUST SCORE
C
GRADE
0
STARS
0
DOWNLOADS
What kaixa-jr Does
kaixa-jr is a agent in the devops category. Autonomous AI Agent for Continuous Software Improvement. It is published by Kaixadagua and is open source. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use kaixa-jr
kaixa-jr is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | Kaixadagua |
|---|---|
| Category | devops |
| 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=kaixa-jr
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| ansible | 75 | 68.1K |
| Flowise | 68 | 49.6K |
| learn-claude-code | 76 | 42.5K |
| continue | 75 | 31.6K |
| agents | 79 | 29.1K |
Frequently Asked Questions
What is kaixa-jr used for?
kaixa-jr is a devops tool. Autonomous AI Agent for Continuous Software Improvement.
Is kaixa-jr free?
License: MIT. kaixa-jr has 0 GitHub stars.
Is kaixa-jr safe?
kaixa-jr has a Nerq Trust Score of 64/100 (C). Use with caution.
What are alternatives to kaixa-jr?
Top alternatives: ansible, Flowise, learn-claude-code. See full comparison.
Safety Report Is It Safe?
Alternatives Prediction
Trending Leaderboard
Discover MCP Servers
Packages Models
Stats API
Last updated September 2026. Trust scores based on automated analysis of public data.