What is Kalynt?
60/100
Trust Score (C)
⚠️ Use Caution
Kalynt is a coding that Privacy-first AI Agent IDE with offline LLMs. It has a Nerq Trust Score of 60/100 (C). 16 GitHub stars. Published by Hermes-Lekkas. Last analyzed November 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 1/100 — Maintenance activity is low
- ⚠️ Community: 16 stars, 0 downloads — Growing community
- ✅ Transparency: License: NOASSERTION — Clear licensing
Trust & Safety Overview
60
TRUST SCORE
C
GRADE
16
STARS
0
DOWNLOADS
What Kalynt Does
Kalynt is a agent in the coding category. Privacy-first AI Agent IDE with offline LLMs. It is published by Hermes-Lekkas and is open source. With 16 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Kalynt
Kalynt is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | Hermes-Lekkas |
|---|---|
| Category | coding |
| License | NOASSERTION |
| 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=kalynt
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 Kalynt used for?
Kalynt is a coding tool. Privacy-first AI Agent IDE with offline LLMs.
Is Kalynt free?
License: NOASSERTION. Kalynt has 16 GitHub stars.
Is Kalynt safe?
Kalynt has a Nerq Trust Score of 60/100 (C). Use with caution.
What are alternatives to Kalynt?
Top alternatives: AutoGPT, ollama, langchain. See full comparison.
Safety Report Is It Safe?
Alternatives Prediction
Trending Leaderboard
Discover MCP Servers
Packages Models
Stats API
Last updated November 2026. Trust scores based on automated analysis of public data.