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  1. Home
  2. 🧠 Knowledge & Memory
  3. Memviz
Memviz logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 1:01:22 PM

Memviz

User RatingsBe the first to rate and review this MCP server!
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website

Local web UI to browse, search, visualize, and edit MCP Memory Service SQLite-vec databases.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for pfillion42/memviz, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Overview

Memviz is a local vector memory explorer designed to work with SQLite-vec databases created by the MCP Memory Service. It provides a modern web interface to browse, search, filter, and edit memories, along with visualizations like UMAP projections, semantic clustering, and association graphs. Use it to manage and analyze memory data locally with features for duplicate detection, timeline views, and bulk operations.

Use cases

β€’Browse and filter memories by type, tags, date, and quality
β€’Search memories using full-text and vector similarity queries
β€’Visualize memory embeddings with UMAP and semantic clusters
β€’Detect and manage near-duplicate memories
β€’Edit memory content, metadata, and tags interactively

Key features

β€’Dashboard with usage stats and top accessed memories
β€’Timeline view grouping memories chronologically
β€’Duplicate detection using adjustable vector similarity thresholds
β€’Force-directed association graph visualization
β€’Bulk operations for deleting, tagging, or retyping memories
β€’JSON import/export of memories

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Memviz.

Extracted Tool Capabilities
Dashboard with usage stats and top accessed memories
Timeline view grouping memories chronologically
Duplicate detection using adjustable vector similarity thresholds
Force-directed association graph visualization
Bulk operations for deleting, tagging, or retyping memories
JSON import/export of memories

Documentation Overview

memviz logo

memviz

A local vector memory explorer with a modern UI inspired by Supabase and Pinecone.
Browse, search, visualize and manage the SQLite-vec database created by MCP Memory Service.

CI License: MIT


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 - Browse, search, filter, and manage

Memories

Timeline - Chronological view grouped by day

Timeline

Duplicates - Detect near-duplicates by vector similarity

Duplicates

Graph - Association graph with type-colored nodes

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

bash
# 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:

powershell
# 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:

VariableRequiredDefaultDescription
MEMORY_DB_PATHYes-Path to the SQLite-vec database from MCP Memory Service
MEMORY_DB_READONLYNotrueOpen database in read-only mode (false to enable editing)
CORS_ORIGINSNohttp://localhost:5173Comma-separated allowed origins
ACCESS_LOG_DB_PATHNoDerived from MEMORY_DB_PATHPath for the access log database (writable)
API_TOKENNo-If set, requires Authorization: Bearer <token> on all API requests
HOSTNo127.0.0.1Listen address (localhost only by default)

Architecture

Code
memviz/
β”œβ”€β”€ server/          # Express + TypeScript API
β”‚   β”œβ”€β”€ src/
β”‚   β”‚   β”œβ”€β”€ routes/  # REST endpoints under /api/
β”‚   β”‚   β”œβ”€β”€ middleware/
β”‚   β”‚   └── index.ts
β”‚   └── tests/       # Vitest (213 tests)
β”œβ”€β”€ client/          # React + Vite + TypeScript
β”‚   β”œβ”€β”€ src/
β”‚   β”‚   β”œβ”€β”€ pages/       # 10 pages
β”‚   β”‚   β”œβ”€β”€ components/  # 11 reusable components
β”‚   β”‚   β”œβ”€β”€ hooks/       # Custom React Query hooks
β”‚   β”‚   └── App.tsx
β”‚   └── 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

bash
# 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

KeyAction
j / kNavigate down / up in lists
/Focus search bar
EnterOpen selected memory
EscapeClose 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 β€” check if your ports are in a reserved range:

powershell
netsh interface ipv4 show excludedportrange protocol=tcp

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

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

powershell
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 β€” run the diagnostic command again. Your ports should now appear with a * (administered exclusion):

Code
     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

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
1
Stargazers on the source repository.
Last commit
6mo ago
Most recent push to the default branch.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Memviz

Memviz reads SQLite-vec databases created by the MCP Memory Service.

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand β–Ύ
Last updatedAug 7, 2026
6/9 checks healthy over the last 33d
Views1
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Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit6mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Feb 24, 2026
39Quality signal: Fair Β· 39/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools18/30
Adoption & activity1/15
Community engagement0/10

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