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MCP server · Automation

pfillion42/memviz

A local vector memory explorer with a modern UI. Browse, search, visualize and manage SQLite-vec databases from MCP Memory Service.

Unclaimed MIT last commit 7 months ago dataexpressumapreactclaude-codememorysqlite-vecmcptypescript
59Fair

Scored 8 days ago · breakdown

About pfillion42/memviz

pfillion42/memviz is an MCP server published by pfillion42 in the Automation category: a local vector memory explorer with a modern UI. Browse, search, visualize and manage SQLite-vec databases from MCP Memory Service.

Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/pfillion42/memviz

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

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Releases

v1.0.0v1.0.0 - Initial Public Release · 17 Feb 2026memviz v1.0.0 First public release of memviz — a local vector memory explorer for [MCP Memory Service](https://github.com/doobidoo/mcp-memory-service) SQLite-vec databases. Features Dashboard** with stats, usage charts (day/week/month),…

README


A quick note

I'm a sysadmin by trade, not a developer. My coding background is some C++ from many years ago. I built memviz entirely through vibe coding with Claude Code as a way to test AI-assisted development workflows. The whole thing was built in about two days.

It works, it has 349 tests, and I use it daily. But the code reflects the fact that an AI wrote most of it while I steered. If you spot rough edges, odd patterns, or things that could be done better, I'd genuinely appreciate the feedback. PRs and issues are very welcome.


Features

  • Dashboard - Overview with stats, top accessed memories, and usage charts (day/week/month)
  • Memory list - Browse, filter (type, tags, date, quality), full-text search, and vector similarity search
  • Memory detail - View and edit content, metadata, tags, and quality rating
  • Timeline - Chronological view grouped by day with type badges
  • Duplicates - Detect near-duplicate memories using vector similarity with adjustable threshold
  • Tags management - Rename, delete, and merge tags across all memories
  • Stale memories - Find old, low-quality memories to clean up
  • 2D embedding projection - UMAP scatter plot of your entire memory space with interactive zoom/pan
  • Semantic clustering - Automatic grouping by vector proximity with cluster visualization
  • Association graph - Force-directed graph of memory relationships
  • Bulk operations - Select multiple memories for batch delete, tag, or retype
  • Import / Export - JSON import and export of memories
  • Dark / Light theme - Toggle with system preference detection
  • EN / FR language toggle - Full interface translation with localStorage persistence
  • Keyboard shortcuts - j/k navigation, / search, ? help, and more
  • Security - Helmet headers, rate limiting, optional API token, Zod validation, localhost-only binding

Screenshots

Dashboard

Memories

Timeline

Duplicates

Graph

Prerequisites

  • Node.js 20 or later
  • A SQLite-vec database created by MCP Memory Service. This is the database memviz reads from. If you use Claude Code or Claude Desktop with the memory MCP server, you already have one.

Quick start

# Clone the repo
git clone https://github.com/pfillion42/memviz.git
cd memviz

# Backend
cd server
npm install
cp .env.example .env
# Edit .env and set MEMORY_DB_PATH to your SQLite-vec database path
npm run dev

# Frontend (in another terminal)
cd client
npm install
npm run dev

Open http://localhost:5173 in your browser.

Windows desktop shortcut (optional)

The repo includes PowerShell launcher scripts and an .ico icon file for a one-click desktop experience on Windows:

# Start both servers (minimized) + open browser
.\start-memviz.bat

# Stop both servers
.\stop-memviz.bat

To create a desktop shortcut: right-click on start-memviz.bat > Send to > Desktop (create shortcut), then change the icon to memviz.ico from the repo root.

The start script detects if servers are already running, waits for health checks (60s timeout), and opens your browser automatically.

Configuration

All configuration is done through environment variables in server/.env:

Variable Required Default Description
MEMORY_DB_PATH Yes - Path to the SQLite-vec database from MCP Memory Service
MEMORY_DB_READONLY No true Open database in read-only mode (false to enable editing)
CORS_ORIGINS No http://localhost:5173 Comma-separated allowed origins
ACCESS_LOG_DB_PATH No Derived from MEMORY_DB_PATH Path for the access log database (writable)
API_TOKEN No - If set, requires Authorization: Bearer <token> on all API requests
HOST No 127.0.0.1 Listen address (localhost only by default)

Architecture

memviz/
├── server/          # Express + TypeScript API
│   ├── src/
│   │   ├── routes/  # REST endpoints under /api/
│   │   ├── middleware/
│   │   └── index.ts
│   └── tests/       # Vitest (213 tests)
├── client/          # React + Vite + TypeScript
│   ├── src/
│   │   ├── pages/       # 10 pages
│   │   ├── components/  # 11 reusable components
│   │   ├── hooks/       # Custom React Query hooks
│   │   └── App.tsx
│   └── tests/       # Vitest + Testing Library (136 tests)
└── .github/workflows/   # CI: lint, typecheck, test, build

Stack: Express, better-sqlite3, sqlite-vec, umap-js, Zod | React 18, React Query, React Router, react-force-graph-2d, Vite, Vitest

Tests

# Run all backend tests
cd server && npm test

# Run all frontend tests
cd client && npm test

# Watch mode
cd server && npm run test:watch
cd client && npm run test:watch

349 tests total (213 server + 136 client).

Security

  • Binds to 127.0.0.1 by default (not exposed to the network)
  • CORS restricted to configured origins
  • Helmet HTTP security headers
  • Rate limiting (100 requests / 15 min)
  • Optional Bearer token authentication
  • Zod schema validation on all write endpoints
  • FTS5 query sanitization and LIKE pattern escaping
  • JSON body size limit (5 MB)

Keyboard shortcuts

Key Action
j / k Navigate down / up in lists
/ Focus search bar
Enter Open selected memory
Escape Close modal / clear selection
? Show keyboard shortcuts help

Troubleshooting

EACCES: permission denied on port 3001 or 5173 (Windows)

On Windows with Hyper-V or WSL enabled, the OS dynamically reserves port ranges for internal use. If memviz ports fall within these ranges, Node.js will fail with EACCES: permission denied.

Diagnose — check if your ports are in a reserved range:

netsh interface ipv4 show excludedportrange protocol=tcp

If port 3001 or 5173 appears inside one of the listed ranges, that's the issue.

Fix — permanently reserve the ports for your use (run as Administrator, one-time):

net stop winnat
netsh int ipv4 add excludedportrange protocol=tcp startport=3001 numberofports=2
netsh int ipv4 add excludedportrange protocol=tcp startport=5173 numberofports=1
net start winnat

After this, Hyper-V will never reclaim these ports. The reservation persists across reboots.

Verify — run the diagnostic command again. Your ports should now appear with a * (administered exclusion):

     3001        3002       *
     5173        5173       *

Acknowledgments

memviz exists because of MCP Memory Service by doobidoo, which creates and manages the SQLite-vec database that memviz explores. Huge thanks for building it.

Built with umap-js, sqlite-vec, React, Express, Vite, React Query, react-force-graph-2d, and Vitest.

Contributing

See CONTRIBUTING.md for guidelines.

License

MIT

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About pfillion42/memviz

How do I install pfillion42/memviz?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is pfillion42/memviz safe to use with an AI agent?

Its trust score is 59 out of 100 (fair). It passes 2 of the 3 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is pfillion42/memviz still maintained?

The last commit was 7 months ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.