Get SwarmAI running in minutes.
| Item | Requirement |
|---|---|
| OS | macOS 10.15+, Windows 10/11, Linux (Ubuntu 20.04+) |
| Processor | x86_64 or ARM64 (Apple Silicon) |
| Memory | 16GB RAM (36GB recommended for multi-tab) |
| Disk | 500MB available |
| Network | Internet connection required |
- Download the latest
.dmgfrom GitHub Releases - Open the DMG and drag
SwarmAI.appto Applications - If macOS blocks the app:
xattr -cr /Applications/SwarmAI.app
- Download
SwarmAI_x.x.x_x64.msifrom GitHub Releases - Run the installer (click "More info" → "Run anyway" if SmartScreen warns)
- Install Git Bash if not already present
Prerequisites: Node.js 18+, Python 3.11+, Rust (rustup.rs), uv (curl -LsSf https://astral.sh/uv/install.sh | sh)
git clone https://github.com/xg-gh-25/SwarmAI.git
cd SwarmAI/desktop
npm install
cp ../backend/.env.example ../backend/.env
# Edit ../backend/.env — configure your API provider
npm run build:all
# Build artifacts: ./src-tauri/target/release/bundle/Two paths to develop and test:
./dev.sh start — runs Python directly (picks up all new code, no rebuild needed)
# Start backend + frontend in dev mode
./dev.sh start
# Or start them separately:
./dev.sh backend # Restart backend only (after Python changes)
./dev.sh frontend # Start frontend only (backend already running)
./dev.sh kill # Stop all dev processes
./dev.sh status # Show what's running./dev.sh deploy — builds backend binary and deploys to daemon (fastest way to push code changes)
# Build backend + deploy to daemon (3 min)
./dev.sh deploy
# Quick build: skip PyInstaller, rebuild Tauri only (frontend/Rust changes)
./dev.sh quick
# Full release (backend + DMG + tag + publish)
./prod.sh releaseUse ./dev.sh start for daily development — it runs the Python backend directly so code changes take effect immediately without rebuilding. Use ./dev.sh deploy when you need to update the production daemon binary. Use ./prod.sh release for full releases with DMG packaging.
Note: In production, the backend runs as a launchd daemon (macOS) that stays alive even when the desktop app is closed. This enables 24/7 Slack bot, background jobs, and scheduled tasks. The dev mode uses direct Python execution instead.
Launch SwarmAI and open Settings (gear icon in left sidebar).
- Ensure you have an AWS account with Bedrock Claude model access
- Configure AWS credentials:
aws configure # Or for Amazon internal users: ada credentials update --account=ACCOUNT_ID --role=ROLE_NAME --provider=isengard - In SwarmAI Settings:
- Enable "Use AWS Bedrock" toggle
- Select your AWS Region
- Verify the credentials status shows ✅
- Save
- In SwarmAI Settings:
- Ensure "Use AWS Bedrock" is OFF
- Enter your Anthropic API Key
- Save
- Deploy a LiteLLM gateway
- In SwarmAI Settings:
- Enter proxy URL in Base URL field
- Enter your proxy API Key
- Save
Open SwarmAI Settings and confirm:
| Item | Expected |
|---|---|
| Backend Service | ● Running |
| API Configuration | ✓ Configured |
Send a test message in the Chat page — if you get an AI response, you're all set.
SwarmAI has three columns:
- Left — SwarmWS Explorer: Your persistent workspace. Knowledge, notes, projects — all git-tracked. Click the Swarm logo to toggle it.
- Center — Chat Tabs: Your command surface. Open multiple tabs (
Cmd+N) for parallel conversations. - Right — Swarm Radar: Live dashboard — ToDos, active sessions, recent artifacts, background jobs.
- Ask anything — "What can you do?" to see the 56+ built-in skills
- Open a second tab —
Cmd+Nto run a parallel conversation - Browse Skills — click the puzzle icon in the left sidebar to see all capabilities
- Check MCP Servers — click the hub icon to see connected tool servers (Slack, Outlook, etc.)
- Explore your workspace — SwarmWS Explorer shows your Knowledge/, Projects/, and context files
- Say "remember this" — the agent saves to persistent memory, available in every future session
SwarmAI remembers across sessions automatically:
- DailyActivity/ — raw session logs captured after every conversation
- MEMORY.md — curated long-term memory (key decisions, lessons, open threads)
- EVOLUTION.md — capabilities the agent has built and corrections it has learned
- .context/ — 11 files that define who the agent is and what it knows about you
- Hybrid Recall — FTS5 keyword search + sqlite-vec vector search for finding relevant memories on demand
Everything is local, git-tracked, and yours. No cloud sync, no data leaving your machine.
SwarmAI supports 40+ file types for attachment:
- Native: Images (jpeg/png/gif/webp), PDF, plain text, CSV, markdown
- Office: .docx, .xlsx, .pptx — routed through specialized skills
- Audio/Video: .mp3, .wav, .mp4, .webm — transcription via Whisper
- Code: .py, .ts, .js, .rs, .go, .java, and more
- SVG: Opens in text editor with visual Preview toggle
Binary files are saved to Attachments/ with path hints for the agent. No more "Prompt is too long" errors.
All data stays local in ~/.swarm-ai/:
| Type | Path |
|---|---|
| Database | ~/.swarm-ai/data.db |
| Configuration | ~/.swarm-ai/config.json |
| Workspace | ~/.swarm-ai/SwarmWS/ |
| Context Files | ~/.swarm-ai/SwarmWS/.context/ |
| Skills | ~/.swarm-ai/skills/ |
| Plugin Skills | ~/.swarm-ai/plugin-skills/ |
| Logs | ~/.swarm-ai/logs/ |
Backend shows Stopped after startup?
Wait a few seconds — it auto-starts. If it persists, check ~/.swarm-ai/logs/backend.log.
macOS blocks the app?
Run xattr -cr /Applications/SwarmAI.app in Terminal.
Windows SmartScreen warning? Click "More info" → "Run anyway".
How to update? Download the new version, close SwarmAI, replace the app. Data is preserved automatically.
How to completely uninstall?
Remove the app, then optionally delete ~/.swarm-ai/ to remove all data.
- GitHub Issues
- See AGENT.md or CLAUDE.md for developer documentation