ClawPanel: One Panel for Five AI Agent Engines

Running more than one agent framework usually means running more than one way to configure, start and watch it. ClawPanel, a GitHub project from qingchencloud, answers that with a single management surface over five engines: OpenClaw, Hermes Agent, DeepSeek Harness, OpenCode, and Pi, which the repository itself labels experimental. Everything below comes from the project's own description, not from hands-on testing.

What the panel actually manages

Beyond starting engines, the panel offers long-term memory visualization, session management, personality configuration and channel extensions. Model providers can be registered side by side and checked for connectivity in a single batch run. That batch check is the small feature that tends to matter most in daily use, because a dead provider key is the most common reason an agent silently stops working.

ClawPanel also ships an assistant of its own, described as 4 operation modes, 8 tools and interactive question-and-answer. Tool calling, image recognition and multimodal input are named explicitly. How capable that assistant is in practice is exactly the part no third party has yet measured.

A Rust shell, not an Electron one

The backend is Rust on Tauri v2, with Tauri IPC and a shell plugin carrying the communication. The interface is written in vanilla JavaScript with Vite and styled in plain CSS with variables — no framework in the dependency tree. For a tool whose job is to spawn and supervise agent processes, that shell plugin is both the central mechanism and the sharpest edge.

From a laptop to a Raspberry Pi

Builds cover macOS on Apple Silicon and Intel, Windows as EXE and MSI, and Linux as AppImage, DEB and RPM. A web or headless variant, Docker with Compose, and ARM64 support for Orange Pi, Raspberry Pi and RK3588 boards round out the list. Leaving a board powered on as a permanent agent host is therefore a supported path rather than a workaround.

Requirements are Node.js 18 at minimum and 24.16.0 from the 24.x line recommended for a full engine install, plus Git for pulling dependencies. Ports 1420 for the panel and 18789 for the gateway need to be available. Installation routes include the download center, GitHub Releases, a one-click Linux script, Docker, and building from source with Rust.

Who gets to run which tool

Security controls listed are an access password for the panel, token-and-password authentication for the gateway, three-tier permission control over agent tools, and session visibility control. The three-tier tool permission is the one worth reading closely, since an agent with shell reach is only as safe as the gate in front of its tools. What is documented is that these controls exist, not how they hold up under pressure.

Licensing is AGPL-3.0, with the repository pointing to a separate commercial license for enterprise use. Anyone planning to host a modified build for others should treat that network-copyleft clause as the deciding detail.

What we could not confirm

Public repository counters read roughly 2,900 stars, 367 forks, 12 watchers, 109 open issues, 19 pull requests and 796 commits on the main branch at the time of retrieval. Those are snapshots, not a measure of quality.

The page did not show a current release number or release date, a contributor count, or the code language breakdown, so none of those are stated here. Only one independent source exists for this story so far — the repository itself. Claims such as the 8 tools or the 11 languages are self-reported and unverified by any outside party.