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nocturne_memory

Skill Development Solid
Works inClaude Code
Solid Scanned — metadata only

Agents retain context across sessions without vector search latency or semantic drift.

A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia. Empower your AI with persistent, graph-like structured memory across any model, session, or tool. Drop-in replacement for OpenClaw.

1,310 starsMIT (commercial OK)FreeQuick setup

Agents retain context across sessions without vector search latency or semantic drift. Persistent memory reduces redundant context-building and improves decision consistency in long-running workflows.

Teams deploying multi-turn MCP agents that need reliable state management and audit trails across conversations or integrations.

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https://github.com/Dataojitori/nocturne_memory

By Dataojitori

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 Dataojitori/nocturne_memory

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 multi-session customer support agents tracking issue history and resolution patterns
CostFree

Trust Signals Auto-scanned

Stars1,310Contributors11Last updated2026-08-09LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-11 · scanner vattempted-no-data

Community Pulse Growing

Discussed on Reddit

3 mentions across 1 sources

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 1,119 GitHub stars; contributors unknown; last commit 1d 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
4/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score3.60 / 5.00 SolidEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 1,119 GitHub stars; contributors unknown; last commit 1d ago; license MIT.

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