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openswarm

> 编程语言
Open source

Your mission control center for a swarm of Ai agents.

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About

Your mission control center for a swarm of Ai agents.

Open Swarm

An Army of AI Agents at Your Fingertips

A locally-running orchestrator for managing multiple agents in parallel.

Launch, monitor, and coordinate entire swarms of coding agents from a single interface.

Why Open Swarm?

Running agents in a terminal works fine for one task. But when you're juggling five agents across different branches, approving tool calls in separate windows, and losing track of who's doing what — it falls apart fast.

  • Parallel agents, one screen — Launch as many agents as you need, arranged on a spatial canvas you can pan and zoom freely
  • Unified approval workflow — Every tool-use request from every agent surfaces in one place. Approve or deny with a click or a keyboard shortcut.
  • Full conversation control — Edit prior messages to fork conversations, navigate between branches, resume closed sessions
  • 100% local — Everything runs on your machine. No cloud relay, no telemetry, no third-party backend.

Features

Spatial Dashboard — Infinite canvas with drag-and-drop agent cards, view cards, and embedded browser cards. Create multiple dashboards for different workspaces.

Agent Chat — Full streaming chat interface powered by WebSockets. Real-time token output, cost tracking per session, and persistent history that survives restarts.

Human-in-the-Loop Approvals — Agents request permission before executing tools. Approve or deny individually, or batch-approve from the dashboard. Configurable per-tool permissions (always allow, ask, deny).

Message Branching — Edit any prior message to fork the conversation. Navigate freely between branches without losing context.

Prompt Templates — Build reusable templates with structured input fields. Invoke them inline via / slash commands.

Skills Library — Manage skills that sync directly to ~/.claude/skills/. Browse and install from the official Anthropic skills marketplace.

Tools Library — Configure MCP tool servers (stdio, HTTP, SSE) with automatic tool discovery. Browse the MCP registry and Google's catalog with GitHub star counts. Includes Google Workspace OAuth integration.

Agent Modes — Five built-in modes (Agent, Ask, Plan, View Builder, Skill Builder) plus custom user-defined modes with configurable system prompts and tool restrictions.

Views & Outputs — Create interactive HTML/JS/CSS artifacts rendered in iframes. Supports vibe coding (LLM-generates the view), backend Python execution, auto-run with LLM-generated data, and agent-driven data gathering.

Git Worktree Isolation — Each agent operates in its own git worktree and branch, preventing conflicts between parallel workstreams.

Diff Viewer — Inspect uncommitted changes in any agent's worktree without leaving the app.

Cost Tracking — Real-time USD spend tracking per agent session.

Dark & Light Themes — Full theme support with design tokens.

Keyboard Shortcuts — Navigate between agents, approve/deny requests, and switch pages without touching a mouse.

Quick Start

Desktop App

Download the latest release for macOS from GitHub Releases.

Windows and Linux builds are planned but not yet available.

Development Setup

Prerequisites: Python 3.11+, Node.js 18+, Git

git clone https://github.com/openswarm-ai/openswarm.git
cd openswarm
bash run.sh

This starts the backend (port 8324), frontend (port 3000), and Electron shell together. Once running, set your Anthropic API key in the in-app Settings page.

To run services individually:

bash backend/run.sh     # API at http://localhost:8324 — docs at /docs
bash frontend/run.sh    # App at http://localhost:3000

Architecture

…

Configuration

The Anthropic API key is configured in-app via the Settings page — no environment variable needed for normal usage.

For advanced configuration, copy backend/.env.example to backend/.env:

Variable Purpose
BACKEND_PORT Backend server port (default: 8324)
GOOGLE_OAUTH_CLIENT_ID Google Workspace integration (Gmail, Calendar, Drive)
GOOGLE_OAUTH_CLIENT_SECRET Google Workspace integration
APPLE_ID macOS code signing & notarization (release builds only)
APPLE_APP_SPECIFIC_PASSWORD macOS notarization (release builds only)
APPLE_TEAM_ID macOS code signing (release builds only)
GH_TOKEN GitHub Releases publishing (release builds only)

Keyboard Shortcuts

Key Action
D Go to Dashboard
T Go to Templates
1 – 9 Open agent by position
Shift+A Approve all pending requests
Shift+D Deny all pending requests
? Show shortcuts help

Type / in the chat input to invoke prompt templates and skills as slash commands.

Project Structure

…

Tech Stack

Frontend — React 18, TypeScript, Redux Toolkit, Material UI v7, CodeMirror 6, Framer Motion, React Router v7, Webpack 5

Backend — FastAPI, Python 3.11+, Pydantic v2, claude-agent-sdk, Anthropic SDK, WebSockets, httpx

Desktop — Electron 33, electron-builder, electron-updater (auto-updates via GitHub Releases)

Bundled Runtime — Standalone Python 3.13 (via python-build-standalone) so end users don't need Python installed

Contributing

Contributions are welcome. To get started:

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/your-feature)
  3. Make your changes
  4. Submit a pull request

Please open an issue first for larger changes so we can discuss the approach.

License

MIT — see LICENSE for details.

Issues· 31 open

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> Details

PublishedAug 1, 2026
UpdatedSep 17, 2026
Category编程语言
PricingOpen source

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