vektori: Memory that remembers the story not just the facts

by vektori-ai · Agent Tool · ★ 132

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How to install vektori

pip install vektori                      # SQLite + Postgres
pip install 'vektori[neo4j]'             # + Neo4j support

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 68/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentsai-memoryanthropiccontext-engineeringknowledge-graphllmlong-term-memorymemoryollamaopen-source

Quick Facts

Stars132
Forks10
LanguagePython
CategoryAgent Tool
LicenseApache-2.0
Quality Score68/100
Open Issues26
Last Updated2026-06-18
Created2026-03-23
Platformspython
Est. Tokens~17k

About vektori

Vektori Memory that remembers the story, not just the facts. GitHub · Issues · Docs 👋 Questions, ideas, bugs → GitHub Issues · [Discussions](https

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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