What is agentic-context-engine?
72/100
Trust Score (B)
✅ Safe
agentic-context-engine is a coding that 🧠 Make your agents learn from experience. . It has a Nerq Trust Score of 72/100 (B). 2.0K GitHub stars. Published by kayba-ai. Last analyzed October 2026.
Why This Score
- ⚠️ Security: 1/100 — Some security concerns
- ⚠️ Maintenance: 1/100 — Maintenance activity is low
- ✅ Community: 2.0K stars, 0 downloads — Large community
- ✅ Transparency: License: MIT — Clear licensing
Trust & Safety Overview
72
TRUST SCORE
B
GRADE
2.0K
STARS
0
DOWNLOADS
What agentic-context-engine Does
agentic-context-engine is a agent in the coding category. 🧠 Make your agents learn from experience. . It is published by kayba-ai and is open source. With 2.0K GitHub stars and 0 downloads, it has a growing community of users and contributors.
Who Should Use agentic-context-engine
agentic-context-engine is well-suited for production use given its strong trust score and active community.
Details
| Author | kayba-ai |
|---|---|
| Category | coding |
| License | MIT |
| Type | agent |
| Source | View on GitHub |
| Security Score | 1/100 |
| Activity Score | 1/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=kayba-ai-agentic-context-engine
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| AutoGPT | 65 | 181.9K |
| ollama | 64 | 163.0K |
| langchain | 77 | 127.8K |
| system-prompts-and-models-of-ai-tools | 64 | 115.3K |
| opencode | 78 | 108.1K |
Frequently Asked Questions
What is agentic-context-engine used for?
agentic-context-engine is a coding tool. 🧠 Make your agents learn from experience. .
Is agentic-context-engine free?
License: MIT. agentic-context-engine has 2.0K GitHub stars.
Is agentic-context-engine safe?
agentic-context-engine has a Nerq Trust Score of 72/100 (B). Safe for production use.
What are alternatives to agentic-context-engine?
Top alternatives: AutoGPT, ollama, langchain. See full comparison.
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Last updated October 2026. Trust scores based on automated analysis of public data.