Install
Download the app
Pre-built binaries — no Rust toolchain required.
| Platform | Download | Auto-updates |
|---|---|---|
| Windows | .exe installer |
Yes |
| macOS | .dmg (Apple Silicon & Intel) |
Yes |
| Linux | .AppImage / .deb |
Yes |
Every release publishes SHASUMS256.txt and per-file .sha256 sidecars so you can verify the binary before you run it. The updater checks GitHub Releases once per session and validates signatures with minisign.
Windows users: SmartScreen prompts on first launch — this is a new application still building reputation, not a warning about the binary. Click More info → Run anyway.
Or run the MCP server
Already using Claude Code, Cursor, or Windsurf? One command gives your AI assistant live vulnerability scanning, dependency health, and ecosystem intelligence:
npx @4da/mcp-server
No API keys. No accounts. No desktop app required. See MCP server & agents.
System requirements
4DA runs on modest hardware. Private, on-device semantic search is built in — no GPU, no API key, and no first-run download required.
| Baseline (free) | + Cloud AI (BYOK) | + Local AI (offline) | |
|---|---|---|---|
| RAM | 4 GB | 4 GB | 16 GB (8B model); 32 GB for 12–14B |
| CPU | any 64-bit | any 64-bit | 6–8 cores |
| GPU | not needed | not needed | optional (faster) |
| Disk | ~500 MB | ~500 MB | + 5–9 GB per model |
Supported: Windows 10 (1803+) / 11, macOS 10.15+, Ubuntu 22.04+ (WebKitGTK 4.1). Installers are ~30 MB on Windows and macOS; the Linux AppImage is ~112 MB because it bundles its own runtime. The local embedding model ships inside the installer and works fully offline on first run.
Build from source
git clone https://github.com/4DA-Systems/4DA.git
cd 4DA
pnpm install
pnpm tauri dev # First build: 5–15 min. Dev server: localhost:4444.
Prerequisites: Rust (pinned via rust-toolchain.toml), Node.js 20, pnpm 9.15. Windows also needs VS Build Tools 2022 with the C++ workload.
Next: Quickstart.