What is CodexMonitor?
62/100
Trust Score (C)
⚠️ Use Caution
CodexMonitor is a coding that Tools for managing local OpenAI Codex sessions.. It has a Nerq Trust Score of 62/100 (C). 5 GitHub stars. Published by Unknown. Last analyzed May 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 1/100 — Maintenance activity is low
- ⚠️ Community: 5 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
62
TRUST SCORE
C
GRADE
5
STARS
0
DOWNLOADS
What CodexMonitor Does
CodexMonitor is a tool in the coding category. Tools for managing local OpenAI Codex sessions.. It is published by an independent developer and has no specified license. With 5 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use CodexMonitor
CodexMonitor is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | Unknown |
|---|---|
| Category | coding |
| License | Not specified |
| Type | tool |
| 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=cocoanetics-codexmonitor
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| AutoGPT | 63 | 181.9K |
| ollama | 58 | 163.0K |
| langchain | 71 | 127.8K |
| system-prompts-and-models-of-ai-tools | 56 | 115.3K |
| opencode | 64 | 108.1K |
Frequently Asked Questions
What is CodexMonitor used for?
CodexMonitor is a coding tool. Tools for managing local OpenAI Codex sessions..
Is CodexMonitor free?
License: Check project page. CodexMonitor has 5 GitHub stars.
Is CodexMonitor safe?
CodexMonitor has a Nerq Trust Score of 62/100 (C). Use with caution.
What are alternatives to CodexMonitor?
Top alternatives: AutoGPT, ollama, langchain. See full comparison.
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Last updated May 2026. Trust scores based on automated analysis of public data.