@putervision/vision-memory-mcp weekly downloads statistics

@putervision/vision-memory-mcp

@putervision/vision-memory-mcp is a zero-infrastructure, local-first Model Context Protocol (MCP) server and CLI tool that provides AI coding assistants (such as Cursor, Claude Code, Gemini, or Copilot) with visual state caching using perceptual hashing, local CLIP embeddings, and transition graphs to eliminate repetitive vision LLM calls.

🌐 Official Documentation & Website: visionmemorymcp.com

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⚡ Quick Start & Installation

Prerequisites: Node.js >= 18.18.0

1. Installation

# Global installation via npm
npm install -g @putervision/vision-memory-mcp

2. Workspace Initialization

Run init in your project root to scaffold database directories, .gitignore, .env, and IDE rules:

vision-memory-mcp init --yes

3. Basic MCP Client Setup

Add to your MCP client config (e.g. .cursor/mcp.json or .vscode/mcp.json):

{
  "mcpServers": {
    "vision-memory-mcp": {
      "command": "vision-memory-mcp",
      "args": ["run"]
    }
  }
}

Alternative Options & CLI Usage Examples

# Run stdio MCP server directly via binary (after global install)
vision-memory-mcp run

# Start server skipping heavy CLIP model downloads (air-gapped / offline mode)
vision-memory-mcp run --skip-model-load

# Re-initialize across all registered workspace projects
vision-memory-mcp init-global

# Health check dependencies, sharp bindings, and git safety
vision-memory-mcp doctor

# Run health diagnostics & aggregate metrics across all registered projects
vision-memory-mcp doctor-global

# Inspect stored visual states and metadata in terminal ASCII table
vision-memory-mcp inspect

# Register baseline design mockup contract (Visual SDD)
vision-memory-mcp spec set --name "Dashboard" --file ./dashboard-spec.png

# Save visual memory checkpoint snapshot
vision-memory-mcp snapshot save --name "v1.0-milestone"

# Ingest WebM / MP4 video recording into visual state memory timeline
vision-memory-mcp video ingest ./playwright-test.webm --category playwright_test

# Open interactive force-directed visual graph viewer in browser
vision-memory-mcp view

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🌟 Key Highlights

• 👁️ Perceptual Visual Caching & Compact Slices: Sub-5ms L1/L2 dHash zero-token fast-path layout recognition and sub-1KB compact_slice export for Pentad System 1 StatePack assembly.
• 🎬 WebM & MP4 Video Ingestion: Digest E2E test recordings & screen captures into searchable keyframe visual states & state transition graphs.
• ⚡ 15 Core MCP Tools: High-coherence consolidated toolset covering perception, video memory, evidence packs, trajectory comparison, semantic retrieval, element grounding, visual SDD, snapshots, and unified context & metrics.
• 🔗 Dual-MCP Synergy & Immutable Evidence Packs: Deeply bridges @putervision/state-memory-mcp task DAGs with visual state memory, generating cryptographically hashable evidence packs for compliance and audit trails.
• 📉 Reduced Token Overhead: Caches UI states locally using dHash, local CLIP vector search, and accessibility trees to maximize vision token savings.
• 🚀 Sub-5ms Fast-Path Latency: Eliminates repetitive vision LLM API calls and avoids visual hallucination loops.
• 🎯 Element Grounding & Action Target Prediction: Maps screen elements to CSS selectors and coordinates for deterministic UI interaction.
• 🎨 Visual Spec-Driven Development (Visual SDD): Register design mockups or screenshots as perceptual baseline contracts to verify visual regression.
• 🛡️ 100% Local-First Privacy: Local LanceDB vector store, local CLIP model, zero cloud telemetry, and PII redaction guarantees.

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🛠️ MCP Tool Suite

@putervision/vision-memory-mcp provides 15 production-grade consolidated MCP tools structured across 4 core visual perception & automation domains:…