My Memories

Your personal AI knowledge base—100% offline

All your AI conversations from ChatGPT, Claude, Gemini, and more—captured, connected, and searchable.
Everything runs on your device. Your data never leaves your machine.

Status: work in progress. This repo is My Memories, the app that's becoming Off Grid Desktop, part of the Off Grid ecosystem. What's documented below is what works today. Expect rough edges while the rebrand and integration land.

Where Off Grid Desktop is headed

My Memories came first, before Off Grid. It started as a way to keep my own thinking from getting trapped inside whatever AI tool I happened to be using that month. It watches the LLM apps and browser windows you already use, understands each conversation, and stores it as memory on your machine. It downloads a model locally and does everything on device. No vendor lock-in, no data collected.

It's becoming Off Grid Desktop: the intelligence layer for your laptop. The goal is to capture your whole day where you work, not just chat history but meetings, email, and the work context that makes everything else useful, and to do all of it on device. Off Grid Desktop pairs with Off Grid Mobile in your pocket and Off Grid Sync, the private backbone that moves context between your devices.

Today it does the AI-conversation capture documented below. The rest is being built in the open. Parts will change, and some will break before they settle.

Off Grid Mobile, on-device intelligence in your pocket: https://github.com/off-grid-ai/mobile
Off Grid Sync, private device-to-device sync: https://github.com/off-grid-ai/sync
The full thesis: https://github.com/off-grid-ai

The Problem

You've had hundreds of conversations with AI assistants. Important insights are scattered across ChatGPT, Claude, Gemini, and more. Finding "that one conversation" where you solved a problem takes forever. And syncing to the cloud means giving up control of your data.

The Solution

My Memories automatically captures your AI conversations and transforms them into a searchable, connected knowledge base—entirely on your device.

Capture	Extract	Connect
Automatically imports conversations from your AI assistants as you chat	Extracts key insights, entities, and facts from every conversation	Builds a knowledge graph linking related concepts and ideas

Features

Multi-Source Capture

Seamlessly imports from ChatGPT, Claude Desktop, Claude (browser), and Gemini. Just chat as normal—My Memories watches and captures in the background.

Coming soon: Support for Perplexity and Grok is planned but not yet available.

Intelligent Extraction

Local LLMs extract memories, entities (people, concepts, technologies), and facts from every conversation. Creates rich, searchable context automatically.

Knowledge Graph

Interactive 3D visualization connects entities across all your conversations. See how concepts, people, and ideas relate to each other.

Memory Chat

Ask questions about your past conversations. Get AI-powered answers grounded in your actual chat history.

Semantic Search

Find conversations by meaning, not just keywords. Search your entire knowledge base with natural language.

100% Local & Private

All AI processing happens on-device via GGUF models
Data stored in local SQLite database only
No cloud sync, no telemetry, no external API calls
You own your data completely

Quick Start

Prerequisites

Node.js 18+ (recommended)
npm
macOS (primary), Windows/Linux (available)

Install & Run

# Clone the repository
git clone https://github.com/off-grid-ai/desktop.git
cd desktop

# Install dependencies
npm install

# Start in development mode
npm run dev

Build for Production

npm run build:mac    # macOS
npm run build:win    # Windows
npm run build:linux  # Linux

Architecture

src/
├── main/              # Electron main process
│   ├── parsers/       # Chat source parsers (Claude, ChatGPT, etc.)
│   ├── database.ts    # SQLite database layer
│   ├── embeddings.ts  # Local embedding generation
│   ├── llm.ts         # Local LLM integration
│   ├── vision.ts      # Screen capture & OCR
│   └── watcher.ts     # App & file monitoring
├── renderer/          # React UI
│   └── components/    # UI components
└── preload/           # Electron bridge

resources/
├── bin/               # Local inference binaries
└── models/            # GGUF models

Tech Stack

Layer	Technology
Desktop	Electron + Vite
Frontend	React 19 + TypeScript
Styling	Tailwind CSS 4 + Framer Motion
3D Graph	Three.js + react-force-graph-3d
Database	better-sqlite3
LLM	node-llama-cpp
Embeddings	Xenova Transformers

Commands

Command	Description
`npm run dev`	Start development server
`npm run build`	Typecheck & build
`npm run build:mac`	Build macOS package
`npm run test`	Run tests
`npm run lint`	Run ESLint
`npm run format`	Format with Prettier

Privacy Promise

What stays local	What we never do
All your conversations	Send data to cloud servers
Entity extraction & analysis	Track usage or telemetry
Embeddings & search index	Require internet connection
Generated summaries	Access external APIs*

*Optional Ollama integration requires a local Ollama server

Contributing

Contributions welcome! Please read our contribution guidelines before submitting PRs.

License

Licensed under the GNU Affero General Public License v3.0 (AGPL-3.0). See LICENSE.

In short: you're free to use, study, modify, and share this code, but any version you distribute or run as a network service must also be released as open source under the same license. Copyright (C) 2026 Mohammed Ali Chherawalla.

Built for privacy-first AI users