Atomic

A personal knowledge base that turns markdown notes into a semantically-connected, AI-augmented knowledge graph.

Atomic stores knowledge as atoms — markdown notes that are automatically chunked, embedded, tagged, and linked by semantic similarity. Your atoms can be synthesized into wiki articles, explored on a spatial canvas, and queried through an agentic chat interface.

Features

• Atoms — Markdown notes with hierarchical tagging, source URLs, and automatic chunking
• Semantic Search — Vector search over your knowledge base using sqlite-vec
• Canvas — Force-directed spatial visualization where semantic similarity determines layout
• Wiki Synthesis — LLM-generated articles with inline citations, built from your notes
• Chat — Agentic RAG interface that searches your knowledge base during conversation
• Auto-Tagging — LLM-powered tag extraction organized into hierarchical categories
• Multiple AI Providers — OpenRouter (cloud) or Ollama (local) for embeddings and LLMs
• RSS Feeds — Subscribe to feeds and automatically sync new articles as atoms
• Browser Extension — Capture web content directly into Atomic
• MCP Server — Expose your knowledge base to Claude and other AI tools
• Multi-Database — Multiple knowledge bases with a shared registry
• iOS App — Native SwiftUI client for reading and writing atoms on mobile

Getting Started

Atomic runs as a desktop app (Tauri), a headless server (Docker/Fly.io), or both.

Desktop App

Download the latest release for your platform from GitHub Releases (macOS, Linux, Windows).

On first launch, the setup wizard walks you through AI provider configuration.

Self-Host with Docker Compose

git clone https://github.com/kenforthewin/atomic.git
cd atomic
docker compose up -d

This starts the API server and web frontend. Open http://localhost and claim your instance through the setup wizard.

Deploy to Fly.io

cp fly.toml.example fly.toml
fly launch --copy-config --no-deploy
fly volumes create atomic_data --region <your-region> --size 1
fly deploy

Open https://your-app.fly.dev and claim your instance. The public URL for OAuth/MCP is auto-detected from the Fly app name.

Standalone Server

cargo run -p atomic-server -- --data-dir ./data serve --port 8080

On first run, create an API token:

cargo run -p atomic-server -- --data-dir ./data token create --name default

AI Provider Setup

Atomic needs an AI provider for embeddings, tagging, wiki generation, and chat.

• OpenRouter (cloud) — Get an API key from openrouter.ai. Supports separate model selection for embedding, tagging, wiki, and chat.
• Ollama (local) — Install Ollama and pull models (e.g., ollama pull nomic-embed-text). Atomic auto-discovers available models.

Configure via the setup wizard on first launch, or later in Settings.

Browser Extension

The Atomic Web Clipper captures web content as atoms:

1. Open Chrome/Edge/Brave and navigate to chrome://extensions
2. Enable "Developer mode"
3. Click "Load unpacked" and select the extension/ directory
4. Configure your server URL and API token in the extension options

Captures are queued offline and synced when the server is available.

MCP Server

Atomic exposes an MCP endpoint for Claude and other AI tools to search and create atoms.

The endpoint runs at /mcp on your server (e.g., http://localhost:8080/mcp).

Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "atomic": {
      "url": "http://localhost:44380/mcp"
    }
  }
}

Available tools: semantic_search, read_atom, create_atom

Architecture

All business logic lives in atomic-core, a standalone Rust crate with no framework dependencies. Every client is a thin wrapper adapting it to a transport:

                    +------------------+
                    |   atomic-core    |
                    |   (all logic)    |
                    +--------+---------+
              +--------------+--------------+
              v              v              v
    +-----------+    +--------------+    +----------+
    | src-tauri |    |atomic-server |    |atomic-mcp|
    | (desktop) |    | (REST + WS)  |    |  (stdio) |
    +-----+-----+    +------+-------+    +----------+
          |                 |
    +-----v-----+    +------v-------+
    |  React UI  |    | HTTP clients |
    |            |    | (iOS, web)   |
    +------------+    +--------------+

Project Structure

Cargo.toml                  # Workspace root
crates/atomic-core/         # All business logic
crates/atomic-server/       # REST + WebSocket + MCP server
crates/atomic-mcp/          # Standalone MCP server (stdio)
crates/mcp-bridge/          # HTTP-to-stdio MCP bridge
src-tauri/                  # Tauri desktop app
src/                        # React frontend (TypeScript)
ios/                        # Native iOS app (SwiftUI)
extension/                  # Chromium browser extension
scripts/                    # Import and utility scripts

Development

Prerequisites

• Node.js 22+
• Rust toolchain (rustup)
• For the desktop app: platform-specific Tauri v2 dependencies

Commands

npm install                       # Install frontend dependencies

# Desktop app
npm run tauri dev                 # Dev with hot reload
npm run tauri build               # Production build

# Server only
cargo run -p atomic-server -- serve --port 8080

# Frontend only
npm run dev                       # Vite dev server

# Checks
cargo check                       # All workspace crates
cargo test                        # All tests
npx tsc --noEmit                  # Frontend type check

Tech Stack

Layer	Technology
Core	Rust, SQLite + sqlite-vec, tokio
Desktop	Tauri v2
Server	actix-web
Frontend	React 18, TypeScript, Vite 6, Tailwind CSS v4, Zustand 5
Editor	CodeMirror 6
Canvas	d3-force, react-zoom-pan-pinch
iOS	SwiftUI, XcodeGen
AI	OpenRouter or Ollama (pluggable)

License

MIT