Memory for AI
Local codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
C69/100grade C
Adoption
Growing
0 stars463 downloads/wk
Reviews
Write oneNobody has reviewed Memory for AI yet.
If you have run it, two minutes of your experience saves the next person an afternoon.
Tools
Tool lists for local packages are only visible after install.
Public scan report
scanner v0.1.3 · 2026-09-19 · same rubric, same numbers if you re-run it
3 medium
- Code scan3 source files scanned; 4 source files scanned10/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 1 days ago15/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Findings (3)
- mediumnpm install lifecycle script present
install.script - mediumnpm install lifecycle script present
install.scriptpackage.json: …est": "node --test test/*.test.js", "postinstall": "node install.js" }, "engines": { … - mediumsubprocess with shell=True
exec.shell-truememory_for_ai-0.11.0/src/memory_for_ai/_cli.py: …run(args) # noqa: S603 — list form, no shell=True sys.exit(result.returncode) d…
Overall 69/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON
Install directly
Runs npx -y memory-for-ai-mcp on your machine. Read the scan report first; the gateway never runs local packages.
claude mcp add memory-for-ai -- npx -y memory-for-ai-mcp
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