Open Swarm
Open Swarm is an open-source desktop orchestrator for running, monitoring and coordinating many coding agents in parallel from one interface.
Pros
- + Git worktree isolation keeps parallel agents on separate branches
- + Spatial dashboard with drag-and-drop agent cards on an infinite canvas
- + Unified human-in-the-loop approval across every running agent
- + Real-time USD cost tracking per session
- + MCP tool integration with automatic server discovery
Cons
- − Desktop Electron app — not a headless or server deployment
- − Built around the Claude Agent SDK rather than provider-agnostic
- − JSON file persistence limits multi-user or shared-state setups
- − Focused on coding agents, not general business workflows
What Is Open Swarm
Open Swarm is a locally-running orchestrator that launches, monitors and coordinates multiple AI coding agents in parallel. It bills itself as “an army of AI agents at your fingertips,” managed from a single interface.
The problem it solves is the chaos of scale. Running one agent in a terminal is fine. But once you are juggling five agents across different branches, approving tool calls in separate windows, and losing track of who is doing what, the terminal-per-agent model breaks down. Open Swarm replaces that sprawl with one cockpit: a spatial dashboard where every agent is visible, approvable and trackable.
Architecture
Open Swarm is an Electron desktop application. A React front end talks to a FastAPI backend over REST and WebSocket.
| Component | Detail |
|---|---|
| Frontend | React 18, TypeScript, Redux Toolkit, Material UI v7, CodeMirror 6 |
| Backend | FastAPI, Python 3.11+, claude-agent-sdk, Anthropic SDK |
| Desktop shell | Electron 33 with electron-builder and auto-updates via GitHub Releases |
| Bundled runtime | Standalone Python 3.13 |
| Persistence | JSON files for dashboards, templates, skills, tools, modes, sessions |
Agent isolation is done with git worktrees: each agent operates in its own worktree and branch, so parallel workstreams cannot collide. The backend Agent Manager coordinates the swarm — handling streaming responses, tool approvals and session lifecycle over WebSocket connections. State is stored as JSON files on disk rather than in a database.
Key Features
- Spatial dashboard — drag-and-drop agent cards on an infinite canvas.
- Unified approvals — one human-in-the-loop system gates tool execution across all agents at once.
- Message branching — fork and navigate conversation branches.
- Prompt templates — structured-input templates invoked via slash commands.
- MCP integration — connect MCP tool servers with automatic discovery.
- Agent modes — five built-in modes plus user-defined ones.
- Artifacts — render interactive HTML/JS/CSS output inline.
- Cost tracking — real-time USD spend per session.
What’s Missing
Open Swarm is a desktop application, not a server. There is no headless or remote-hosted mode, so you cannot run a swarm on a VPS and check in from a browser — it lives on the machine in front of you. It is built on the Claude Agent SDK and Anthropic SDK, so it is not provider-agnostic; teams wanting OpenAI or local models will need to look elsewhere. Persistence is JSON files on local disk, which rules out shared multi-user state, central audit storage or concurrent operators. The scope is deliberately coding agents — there are no org-chart, budget-governance or business-process abstractions. Anyone needing a multi-user, server-side, multi-provider fleet platform should consider a different tool.
Who It’s For
Open Swarm is for individual developers and small teams who run several Claude-based coding agents at once and want a single visual cockpit to launch, watch and approve them. If your work is parallel coding tasks across branches and you are comfortable with a desktop app, it is a strong fit.