# ClawPanel: A Desktop Management Interface for OpenClaw, Hermes Agent, and DeepSeek Harness

> ClawPanel is a Tauri v2 cross-platform desktop application that provides a visual management layer for three AI agent runtimes: OpenClaw, Hermes Agent, and DeepSeek Harness. It adds a built-in AI assistant with tool calls, image recognition, and multi-modal support, and ships installers for macOS, Windows, Linux, and ARM64 embedded boards.

**qingchencloud/clawpanel** — 🦞 OpenClaw & Hermes Agent 多引擎 AI 管理面板 — 内置 AI 助手（工具调用 + 图片识别 + 多模态），一键安装 | Tauri v2 跨平台桌面应用 | 11 种语言

- Repository: https://github.com/qingchencloud/clawpanel
- Website: https://claw.qt.cool
- Stars: 2,934 · Forks: 367
- Language: JavaScript
- License: NOASSERTION
- Published: 2026-09-11 · Updated: 2026-09-11 · Language: en
- Canonical page: https://hysenlabs.com/projects/qingchencloud-clawpanel

## What ClawPanel Adds to AI Agent Runtimes

OpenClaw, Hermes Agent, and DeepSeek Harness each have command-line interfaces and web configuration pages, but running them in parallel means switching between terminal sessions, manually managing ports, and tracking configuration across multiple `.env` files. ClawPanel consolidates these tasks into a single interface.

The README describes the panel's core value proposition: 'install, start, stop, configure, and diagnose with one click.' Beyond installation, ClawPanel's built-in AI assistant uses the configured model to interpret error messages, suggest fixes, and guide configuration changes. The assistant supports tool calls, image recognition, and multi-modal input, which means it can process screenshots or log files as part of a diagnostic workflow.

The panel supports 11 interface languages and provides light and dark themes. It is currently at version 0.21.8, released on 2026-09-15.

## Installing ClawPanel on macOS, Windows, and Linux

ClawPanel installers are available from the official download page at claw.qt.cool or from GitHub Releases. The README documents platform-specific installer formats:

- macOS Apple Silicon: `ClawPanel_x.x.x_aarch64.dmg`
- macOS Intel: `ClawPanel_x.x.x_x64.dmg`
- Windows: `.exe` installer or `.msi` for enterprise deployment
- Linux DEB: install with `sudo dpkg -i *.deb`
- Linux AppImage: mark executable then run directly
- Linux RPM: install with `sudo rpm -i *.rpm`

On macOS, the application is not code-signed. The README documents the Gatekeeper quarantine removal command:

```bash
sudo xattr -rd com.apple.quarantine /Applications/ClawPanel.app
```

The README also documents an alternative path through System Settings if the terminal approach is not preferred. For Docker-based deployment, the ARM64 image is available directly:

```bash
docker run ghcr.io/qingchencloud/openclaw:latest
```

On Linux servers without a desktop environment, the web mode starts the ClawPanel backend with `npm run serve`, requiring Node.js 18 or later.

## OpenClaw Gateway Management: The First Engine

OpenClaw is the primary agent runtime that ClawPanel manages. The panel provides an install, start, stop, and uninstall interface that pins a specific accepted OpenClaw version without touching the global npm environment. The README describes this as 'no global npm environment pollution.'

The model channel configuration is managed from within ClawPanel: Provider selection, API Key, context window, output limit, and default model are configured once in the panel and synchronized to OpenClaw. The panel reads back the configuration to confirm it was applied correctly.

The Node.js version requirement for OpenClaw is non-trivial. The README notes that OpenClaw 2026.7.1 requires Node 22.22.3 or later (but before 23), Node 24.15.0 or later (but before 25), or Node 25.9.0 or later (but before 26). This constraint is enforced by OpenClaw's engine field and is not relaxed by ClawPanel. Teams should verify the installed Node version matches one of these ranges before attempting to start OpenClaw through the panel.

The web version of ClawPanel uses short-term tokens and a sandbox proxy to embed OpenClaw's web interface without requiring additional open ports on the server.

## Hermes Agent: Session, Memory, and Persona Management

The second engine, Hermes Agent, is an agent system focused on long-term memory and persona continuity. ClawPanel provides a management layer with four areas: long-term memory editing, session and message flow tracking, persona maintenance, and external channel management.

Long-term memory is stored in three Markdown files: Notes, User Profile, and Soul. ClawPanel provides an in-panel editor for each file so facts, preferences, and the agent's personality definition can be updated without touching the filesystem directly. Changes to these files persist across agent sessions and affect how the agent responds in future conversations.

The session management view shows the conversation history, message flow, running state, and tool call details for each Hermes Agent session. The README describes this as making the session 'operable' rather than opaque: the operator can see where context quality degrades and where tool calls occurred in the execution chain.

For external channel connections (QQ, Telegram, Discord, and others), ClawPanel provides a centralized connection management view so all active integrations appear in one place rather than requiring separate configuration in each channel adapter.

## DeepSeek Harness: The Third Engine and Its Workspace

ClawPanel's third engine is DeepSeek Harness, which the README describes as having a dedicated workbench accessed through the left sidebar. From this workbench, the user can conduct conversations, select a workspace, switch models, and manage sessions without leaving the ClawPanel interface.

The Harness keeps its process bound to the loopback interface. In the remote web version, ClawPanel proxies access through a short-term token and a sandbox, so the full workbench is available without opening additional public ports. The README calls this 'Web/headless secure embedding.'

Model configuration (Provider, API Key, context window, output limit, and default model) is set from the ClawPanel settings page and synchronized to DeepSeek Harness. The panel reads back the applied settings to confirm the synchronization succeeded, which avoids silent configuration mismatches that are common when setting up multiple AI runtimes in sequence.

## AGPL-3.0 License, ARM64 Support, and Practical Limitations

The package.json in the repository declares the AGPL-3.0 license. This means anyone who modifies ClawPanel and makes it available over a network must publish the source of their modifications. Teams using ClawPanel unmodified on internal workstations are not affected by this requirement, but organizations that fork ClawPanel to add internal features and then run it as a shared service must release those changes.

The ARM64 embedded device support is a specific design point. The web version of ClawPanel has no GUI dependencies and runs on Orange Pi, Raspberry Pi, and RK3588 boards through `npm run serve`. The README references a dedicated Armbian deployment guide in `docs/armbian-deploy.md` for production server setup.

A comparable alternative is Open WebUI, a web-based interface for local LLM management that runs against Ollama and other backends. Open WebUI focuses on chat and prompt management rather than on agent runtime management. It does not provide the session replay, long-term memory editing, or multi-agent runtime switching that ClawPanel offers, but it has a larger user base and more extensive plugin ecosystem for teams whose primary need is model access rather than agent orchestration.

The license is NOASSERTION in the repository metadata but AGPL-3.0 in the package.json. Teams should check the LICENSE file directly before making commercial decisions.

## Conclusion

ClawPanel is a practical choice for developers and hobbyists who want a single desktop interface to install, configure, and monitor OpenClaw, Hermes Agent, or DeepSeek Harness across platforms including ARM64 embedded boards. The panel is licensed under AGPL-3.0 per its package.json: teams that modify and deploy it as a network service must publish their changes. Before deploying, verify the Node.js version requirement specific to the OpenClaw version you are targeting, since the README notes that OpenClaw 2026.7.1 requires Node 22.22.3, or 24.15.0+, or 25.9.0+, and this constraint is enforced at startup. The last push was on 2026-09-15.

## FAQ

### Can ClawPanel run on a Linux server without a graphical desktop?

The README documents a pure web mode that requires no GUI dependencies. Running npm run serve starts the ClawPanel web backend, which is accessible from a browser. Docker is also available via docker run ghcr.io/qingchencloud/openclaw:latest. Both paths work on ARM64 boards including Orange Pi and Raspberry Pi.

### How does ClawPanel store and edit Hermes Agent's long-term memory?

The README describes three Markdown files that hold the agent's persistent context: Notes, User Profile, and Soul. ClawPanel provides an in-panel editor for each file. Changes made through the editor persist across sessions and affect how the agent responds in future conversations.

### What is the license for ClawPanel and does it affect commercial use?

The package.json in the repository declares AGPL-3.0. Under AGPL-3.0, teams that modify ClawPanel and run the modified version as a network-accessible service must publish the source of their modifications. Unmodified internal use does not trigger this requirement. The LICENSE file in the repository contains the full terms.

## Sources

- [Issues](https://github.com/qingchencloud/clawpanel/issues)
- [Project website](https://claw.qt.cool)
- [qingchencloud/clawpanel on GitHub](https://github.com/qingchencloud/clawpanel)
- [README](https://github.com/qingchencloud/clawpanel/blob/main/README.md)
- [Releases](https://github.com/qingchencloud/clawpanel/releases)

---

Hysen Labs editorial analysis, written from the project's own repository and release notes. Cite the canonical page: https://hysenlabs.com/projects/qingchencloud-clawpanel