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memem

Skill Data & Analytics Usable
Works inClaude Code
Usable Scanned — metadata only

Enables Claude to retain institutional knowledge across conversations, reducing redundant analysis and accelerating decision-making by building searchable ar…

A Claude Code plugin that gives Claude persistent memory across sessions — stores lessons and decisions as markdown in your Obsidian vault, searches them with SQLite FTS5, and mines past transcripts automatically.

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

Enables Claude to retain institutional knowledge across conversations, reducing redundant analysis and accelerating decision-making by building searchable archives of past insights and patterns.

Data analytics teams and consultants leveraging Claude iteratively who need continuous learning and decision provenance across multiple projects.

Claude Code Claude Cowork Claude Chat

https://github.com/TT-Wang/memem

By TT-Wang

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 TT-Wang/memem

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:

Recall previous project decisions and architectural patterns from past sessions
CostFree

Trust Signals Auto-scanned

Stars31Contributors2Last updated2026-07-03LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-11 · scanner vattempted-no-data

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 33 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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 UsableEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 33 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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