What is agent-cognition-os?
agent-cognition-os is a AI tool that Self-aware AI infrastructure — 10 metacognitive APIs for agent optimization. Compute allocation, inference cost efficiency, memory compression, context relevance, decision complexity, explore/exploit,. It has a Nerq Trust Score of 40/100 (E). 0 GitHub stars. Published by 0x40272e2eac848ea70db07fd657d799bd309329c4. Last analyzed October 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What agent-cognition-os Does
agent-cognition-os is a agent in the AI tool category. Self-aware AI infrastructure — 10 metacognitive APIs for agent optimization. Compute allocation, inference cost efficiency, memory compression, context relevance, decision complexity, explore/exploit, confidence calibration, overthinking detection, cognitive load balancing, and performance drift det. It is published by 0x40272e2eac848ea70db07fd657d799bd309329c4 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use agent-cognition-os
agent-cognition-os is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0x40272e2eac848ea70db07fd657d799bd309329c4 |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | agent |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=agent-cognition-os
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 42 | 92.8K |
| Time | 50 | 89.4K |
| Filesystem | 50 | 89.4K |
| Sequential Thinking | 50 | 89.4K |
| Fetch | 50 | 89.4K |
Frequently Asked Questions
Last updated October 2026. Trust scores based on automated analysis of public data.