• ✅ Omnichannel One-Click Deployment: Supports rapid deployment of agent configurations to multiple terminals, already compatible with scenarios such as classic chat interfaces, desktop companion, QQ, Feishu, Discord, Telegram chatbots, Bilibili, YouTube, Twitch live-streaming bots, and more—ready to use out of the box.

• ✅ Ecosystem Tool Interconnectivity: Freely integrates third-party agents and workflows as toolchains (already adapted for systems like Home Assistant, Claude Code, Qwen Code, Dify, ComfyUI, MCP, A2A, etc.), enabling cross-platform capability aggregation through the Agent-Party architecture.

• ✅ Rich Extension Ecosystem: Supports custom extension development, with community sharing via the official Extension Marketplace to meet personalized needs.

• ✅ Standardized interface openness: Provides OpenAI API-compatible interfaces and MCP protocol support, facilitating developers' direct integration with external systems for rapid agent capability transfer and secondary development. The VRM desktop pet supports the VMC protocol, enabling cross-application action synchronization. The VRM desktop pet interface also supports the webXR protocol, allowing immersive experiences on XR-compatible devices.

• ✅ Seamless capability enhancement: It is possible to achieve an enterprise-level upgrade of the LLM API without code modification, seamlessly integrating knowledge bases, real-time networking, permanent memory, compatible SillyTavern Character Card, code execution, multimodal capabilities (vision/drawing/audition/speech), Automation capabilities (controlling smart homes, controlling browsers), deep thinking control and research, and other modular functions into the existing model interface, creating a pluggable LLM enhancement platform.

• ✅ Compatible and adaptable across all platforms: It covers the native running environments of Windows/macOS/Linux, supports Docker containerized deployment and web-based cloud services, and meets the needs of multi-scene technology stacks.

👉 Click Baidu Cloud to download

👉 Click Google Cloud to download

👉 Click to download

⭐ Note! You can double-click 一键更新(update).bat to update the software, or you can double-click 一键启动(start).bat to start the software.

⭐ Note! To reduce the installation package size, the npm download logic has been modified. Integration packages of version v0.3.1 and earlier will not update properly. Please download and update to integration packages of v0.3.2 or later!

👉 Click to download

⭐ Note! Choose to install only for the current user during installation, otherwise, administrator privileges will be required to start.

👉 Click to download

⭐ Note! You can update the software in Terminal with one-click update(update).sh or launch it with one-click start(start).sh. Remember to grant permissions before use!

⭐ Note! To reduce the installation package size, the npm download logic has been modified. Integration packages of version v0.3.1 and earlier will not update properly. Please download and update to integration packages of v0.3.2 or later!

chmod +x 一键更新(update).sh
./一键更新(update).sh
chmod +x 一键启动(start).sh
./一键启动(start).sh

👉 Click to download

⭐Attention! After downloading, drag the app file of the dmg file into the /Applications directory, then open end point, execute the following command and enter the root password to remove the attached Quarantine attribute from the network download:

sudo xattr -dr com.apple.quarantine /Applications/Super-Agent-Party.app

We provide two mainstream Linux installation package formats for your convenience in different scenarios.

.AppImage is a Linux application format that does not require installation and can be used immediately. Suitable for most Linux distributions.

👉 Click to download

👉 Click to download

• Two commands to install this project:

  docker pull ailm32442/super-agent-party:latest
  docker run -d -p 3456:3456 -v ./super-agent-data:/app/data ailm32442/super-agent-party:latest

• ⭐Note! ./super-agent-data can be replaced with any local folder, after Docker starts, all data will be cached in this local folder and will not be uploaded anywhere.

• Plug and play: access http://localhost:3456/

git clone https://github.com/heshengtao/super-agent-party.git
cd super-agent-party
uv sync && npm install && (cd static && npm install) && npm run dev

Added a brand-new extension system. You can check available plugins at plugins list, or directly view and install them in the party under 【Developer】->【Extensions】. You can also add your own developed extensions to the official plugin list at super-agent-party.github.io!

• CPU: 2 cores or more
• Memory: 2GB or more

Because all models are optional, you can access the local deployment engine, or you can all use the Cloud as a Service provider interface, so there are few hardware requirements. Test the docker version on the 2-core 2G Cloud as a Service server and it will work fine

• Desktop: Click the desktop icon to use immediately.

• Web or docker: Access http://localhost:3456/ after startup.

• API call: Developer-friendly, perfectly compatible with OpenAI format, can output in real-time, and does not affect the original API's response speed. No need to modify the calling code:

  from openai import OpenAI
  client = OpenAI(
    api_key="super-secret-key",
    base_url="http://localhost:3456/v1"
  )
  response = client.chat.completions.create(
    model="super-model",
    messages=[
        {"role": "user", "content": "What is Super Agent Party?"}
    ]
  )
  print(response.choices[0].message.content)

• MCP call: After starting, you can invoke the local MCP service by writing the following content in the configuration file:

  {
    "mcpServers": {
      "super-agent-party": {
        "url": "http://127.0.0.1:3456/mcp",
      }
    }
  }

Please refer to the following document for the main functions:

• 👉 Chinese document
• 👉 English document

This open-source project and its content (hereinafter referred to as the "project") are for reference only and do not imply any explicit or implicit warranties. The project contributors do not assume any responsibility for the completeness, accuracy, reliability, or applicability of the project. Any behavior that relies on the project content shall be at the user's own risk. In any case, the project contributors shall not be liable for any indirect, special, or incidental losses or damages arising from the use of the project content.

Some features of this open-source project (such as Edge TTS voice synthesis, Bilibili WebSocket danmaku monitoring, etc.) rely on public interfaces or experimental functionalities provided by third-party services. These features may become unavailable at any time due to policy changes by the third parties. The developers are not responsible for their stability, legality, or continuity.

The QQ bot utilizes the official QQ bot interface. Please comply with the AIGC Access to QQ Bot Guidelines.

By using these features, users acknowledge and agree to assume the associated risks. The developers do not recommend or encourage the use of these features for commercial or large-scale deployment scenarios.

This project uses a dual licensing model:

1. By default, this project follows the GNU Affero General Public License v3.0 (AGPLv3) license agreement
2. If you need to use this project for closed-source commercial purposes, you must obtain a commercial license from the project administrator. Business cooperation: [email protected]

Using this project for closed-source commercial purposes without written authorization is considered a violation of this agreement. The complete text of AGPLv3 can be found in the LICENSE file in the project root directory or at gnu.org/licenses.

This project may include or depend on certain third-party libraries or components, whose licenses may differ from the main project's license. To comply with the relevant license requirements, you can find the license information for these third-party components in the LICENSE-third-party folder located in the project's root directory, or within the corresponding component's source code.

We extend our gratitude to all contributors of the third-party libraries and components and are committed to respecting their license terms.

⭐Your support is the driving force for us to move forward!

If you have any questions or issues with the project, you are welcome to join our community.

1. QQ Group: 931057213

2. WeChat Group: we_glm (add the assistant's WeChat and join the group)

3. Discord: Discord link