Novyx MCP — Desktop Extension

Desktop Extension (.mcpb) for Claude Desktop. One-click install for persistent AI agent memory with rollback, audit trails, and semantic search.

Features

• Persistent Memory — Store and recall memories with semantic search
• Time-Travel Rollback — Undo mistakes by rewinding to any point in time
• Audit Trails — Cryptographic proof of every memory operation
• Knowledge Graph — Link memories with subject-predicate-object triples
• Context Spaces — Isolated memory scopes for different projects
• Local-First — Works instantly with SQLite, no API key needed
• Cloud Upgrade — Optional cloud sync, team sharing, and advanced features

23 tools, 6 resources, 3 prompts.

Installation

From the Anthropic Directory (recommended):

Install directly from Claude Desktop → Settings → Extensions.

Manual install:

1. Download the latest .mcpb file from Releases
2. Double-click the file, or drag it into Claude Desktop

Prerequisites: Python 3.10+ must be installed. The extension automatically installs novyx-mcp via uvx or uses an existing pip install novyx-mcp.

Configuration

No configuration required for local mode. The extension works out of the box with a local SQLite database.

Optional — Cloud mode:

When prompted during installation, enter your Novyx API key. Get a free key at novyxlabs.com (5,000 memories, no credit card).

Cloud mode enables:

• Cross-device memory sync
• RSA-signed audit trails
• Team sharing and context spaces
• Replay and cortex features

Usage Examples

Example 1: Store and recall memories

User prompt:

Remember that the project deadline is March 15th and we're using React with TypeScript.

What happens: Claude calls the remember tool to store two tagged memories. Later:

What tech stack are we using for this project?

What happens: Claude calls recall with a semantic search, finds the stored memory about React + TypeScript, and answers accurately.

Example 2: Roll back a mistake

User prompt:

I accidentally told you the deadline was March 15th — it's actually April 1st. Roll back the wrong memory and fix it.

What happens: Claude calls rollback to undo the incorrect memory, then remember to store the corrected date. The audit trail shows the full history: original store → rollback → corrected store.

Example 3: Build a knowledge graph

User prompt:

Track these relationships: Alice manages the frontend team, Bob manages the backend team, and both teams report to Carol.

What happens: Claude calls triple three times to create knowledge graph entries:

• Alice → manages → frontend team
• Bob → manages → backend team
• frontend team, backend team → reports_to → Carol

Later, asking "Who does the frontend team report to?" triggers a triples query that returns the answer.

Example 4: Isolated project contexts

User prompt:

Create a separate memory space for my side project so it doesn't mix with work memories.

What happens: Claude calls create_space to create an isolated context. Memories stored in that space are scoped and don't appear in general searches.

Privacy Policy

Novyx MCP operates in two modes:

Local mode (default): All data is stored locally in a SQLite database at ~/.novyx/local.db. No data is sent to any external server. No analytics or telemetry.

Cloud mode (opt-in): When you provide an API key, memories are sent to the Novyx API (novyx-ram-api.fly.dev) for storage and sync. Data is encrypted in transit (TLS) and at rest. We do not share your data with third parties. See our full privacy policy at novyxlabs.com/privacy.

You can switch between modes at any time by adding or removing your API key.

Data retention: Local data persists until you delete it. Cloud data is retained until you delete it or close your account. Audit trails are immutable by design.

For privacy questions, contact [email protected].

Support

• Issues: github.com/novyxlabs/novyx-mcp-desktop/issues
• Documentation: docs.novyxlabs.com
• Email: [email protected]

How It Works

This Desktop Extension is a thin Node.js wrapper that spawns the Python novyx-mcp server as a child process. The Node.js layer handles process lifecycle; the Python server handles all MCP logic.

Launch order:

1. uvx novyx-mcp (fastest — no install needed)
2. python3 -m novyx_mcp (if pip installed)
3. novyx-mcp (if pipx installed)

License

MIT