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Compartment

Skill Setup & Config Usable
Works inClaude Code
Usable Scanned — metadata only

Provides isolated, encrypted memory storage for AI agents without external dependencies, reducing data exposure risk and enabling compliance-sensitive deploy…

Encrypted, fully offline agentic memory. One click install, GUI w/ memory map, all OS and agents. Logically and mathematically sound storage and retrieval.

45 starsApache-2.0 (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Provides isolated, encrypted memory storage for AI agents without external dependencies, reducing data exposure risk and enabling compliance-sensitive deployments where agent state cannot leave the machine.

Teams deploying multi-agent systems in regulated environments requiring offline operation and encrypted state management.

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https://github.com/MaxFreedomPollard/Compartment

By MaxFreedomPollard

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install MaxFreedomPollard/Compartment

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me set up encrypted offline memory storage for AI agents without cloud dependencies
CostFree

Trust Signals Auto-scanned

Stars45Last updated2026-08-01LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-01 · scanner v1

Community Pulse New

3 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 45 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
2/5
Reliability
3/5
Security
3/5
Overall score2.75 / 5.00 UsableEvaluatedAug 2026
Scored from trust signals (evidence-eval-v1): 45 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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