qingchencloud/clawpanel

What it solves

ClawPanel provides a visual management interface for users who want to deploy and operate multiple AI Agent frameworks without dealing with complex command-line configurations. It simplifies the installation, configuration, and monitoring of AI agents, making them accessible to both beginners and advanced users.

How it works

It acts as a centralized control panel that supports three primary AI engines: OpenClaw, Hermes Agent, and DeepSeek Harness. The panel manages the underlying runtimes, synchronizes model providers and API keys, and provides a GUI for managing agent identities, long-term memories, and communication channels (like Telegram or Discord). It also includes a built-in AI assistant that can execute system commands, read/write files, and diagnose configuration errors directly on the host machine.

Who it’s for

• AI Agent enthusiasts who want a user-friendly way to manage multiple agent frameworks.
• Developers deploying agents on ARM64 boards (like Raspberry Pi or Orange Pi) or Linux servers.
• Users who want to maintain persistent agent personalities and memories across different sessions.

Highlights

• Multi-Engine Support: Integrated management for OpenClaw, Hermes Agent, and DeepSeek Harness.
• Built-in AI System Assistant: An agent capable of diagnosing system health, fixing configuration files, and even helping submit GitHub PRs.
• Long-term Memory Visualization: Online editing of Notes, User Profiles, and Soul files for Hermes Agent to maintain consistent personalities.
• Cross-Platform Deployment: Available as desktop apps (Windows, macOS, Linux) or a pure Web version for headless servers and embedded devices.
• Multimodal Capabilities: Supports image recognition and multi-modal text-image conversations.