mindos-max

mindos-max is a Memory stores & recall skill for AI agents, published by GeminiLight in the MindOS repository on GitHub. Skillspace rates mindos-max F (54/100) and it passed the safety scan; the rating is based on static analysis only.

MindOS: local knowledge assistant & global memory layer. Keeps decisions, notes, SOPs, debugging lessons, architecture choices, research findings, preferences, conversation summaries for all connected agents. PROACTIVE: (1) search MindOS first for past context, (2) offer to save after valuable work, (3) persist key context on handoff/end. Triggers: save/record, search notes, update files, organize, run SOP/workflow, review, append CSV, hand off, distill lessons, sync docs, check past decisions, find templates, prepare meeting context, log daily, track goals. NOT for app source or paths outside KB. Core: Space, Instruction, Skill.

Grade
F
Quality
54 / 100
Safety
Passed
GitHub stars
653

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubGeminiLight/MindOS

Our review

Architecture
70 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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