No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by vektori-ai · Agent Tool · ★ 132
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is vektori safe to install? View the security audit →
Vektori Memory that remembers the story, not just the facts. GitHub · Issues · Docs 👋 Questions, ideas, bugs → GitHub Issues · [Discussions](https
| Stars | 132 |
| Forks | 10 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 68.1945621730708/100 |
| Open Issues | 26 |
| Last Updated | 2026-06-18 |
| Created | 2026-03-23 |
| Platforms | python |
| Est. Tokens | ~17k |
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vektori is Memory that remembers the story not just the facts. File System Memory and Three layer sentence graph for AI agents -> Facts, Episodes, raw Sentences. One DB. Zero config.. It is categorized as a Agent Tool with 132 GitHub stars.
vektori is primarily written in Python. It covers topics such as ai-agents, ai-memory, anthropic.
You can find installation instructions and usage details in the vektori GitHub repository at github.com/vektori-ai/vektori. The project has 132 stars and 10 forks, indicating an active community.
vektori is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to vektori on Agent Skills Hub include pensyve, mira-OSS, captain-claw. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: