What is PaiAgent?
57/100
Trust Score (D)
⚠️ Use Caution
PaiAgent is a devops that 企业级AI工作流可视化编排平台，通过拖拽式界面快速构建和执行AI工作流。. It has a Nerq Trust Score of 57/100 (D). 78 GitHub stars. Published by itwanger. Last analyzed October 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 1/100 — Maintenance activity is low
- ⚠️ Community: 78 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
57
TRUST SCORE
D
GRADE
78
STARS
0
DOWNLOADS
What PaiAgent Does
PaiAgent is a agent in the devops category. 企业级AI工作流可视化编排平台，通过拖拽式界面快速构建和执行AI工作流。. It is published by itwanger and has no specified license. With 78 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use PaiAgent
PaiAgent is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | itwanger |
|---|---|
| Category | devops |
| License | Not specified |
| 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=paiagent
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 | 72 | 42.5K |
| continue | 75 | 31.6K |
| agents | 79 | 29.1K |
Frequently Asked Questions
What is PaiAgent used for?
PaiAgent is a devops tool. 企业级AI工作流可视化编排平台，通过拖拽式界面快速构建和执行AI工作流。.
Is PaiAgent free?
License: Check project page. PaiAgent has 78 GitHub stars.
Is PaiAgent safe?
PaiAgent has a Nerq Trust Score of 57/100 (D). Use with caution.
What are alternatives to PaiAgent?
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 October 2026. Trust scores based on automated analysis of public data.