mneme

Name: mneme Review
Item: mneme
Rating: 3.0
Author: Aaron Matthews

Skill Development Usable

Works inClaude Code

Usable Scanned — metadata only

Maintains contextual continuity across AI sessions without external storage or privacy exposure, reducing repetitive context-setting and accelerating iterati…

🧠 The memory that dreams — cross-session memory for DeepSeek Harness. Offline & private, auto-consolidates in its sleep (autoDream), visualized in a memory panel.

Ask Claude to recall previous project decisions and architectural choices across sessions.
Generate consolidated memory summaries of ongoing code challenges for faster problem solving.
Automate tracking of team coding standards and patterns learned over multiple development cycles.

198 starsMIT (commercial OK)FreeQuick setup

Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Why it matters

Maintains contextual continuity across AI sessions without external storage or privacy exposure, reducing repetitive context-setting and accelerating iterative development workflows.

Best for

Development teams using DeepSeek Harness who need persistent, offline AI memory across coding sessions.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/slow-stack/mneme

By slow-stack

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add 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 slow-stack/mneme

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 choices across sessions

CostFree

Trust Signals Auto-scanned

Stars198Contributors18Last updated2026-10-29LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-29 · scanner v1

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): 137 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 Scores

Evaluation

Ease of Use

3/5

Versatility

3/5

Reliability

3/5

Security

3/5

Overall score3.00 / 5.00 UsableEvaluatedOct 2026

Scored from trust signals (evidence-eval-v1): 137 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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