# 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
Canonical: https://ross.abutalabs.com/products/clawpanel
Homepage: https://claw.qt.cool
Language: JavaScript
License: NOASSERTION
License Family: other
Topics: admin-panel, ai-agent, ai-tools, cross-platform, desktop-app, llm, openclaw, rust, tauri, tauri-v2, vite, ai-assistant, chatgpt, deepseek, tool-calling, ai-chat, management-panel, openclaw-panel, hermes-agent, multi-engine
Last push: 2026-08-26T06:02:43+00:00

## Health v2 (maintenance only)
Score: 78/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 87, longevity 13
- inputs: {"age_days": 188, "days_push": 7, "days_rel": 7, "gap_med": 0.0, "n_releases_24m": 81}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2931, forks 368 (observed 2026-08-28T04:07:30.591084+00:00)

## What it is
ClawPanel is a cross-platform desktop and web control panel for managing multiple AI agent runtimes (OpenClaw, Hermes Agent, DeepSeek Harness), covering installation, model/channel configuration, service control, memory/agent inspection, and diagnostics. It includes a built-in AI assistant with tool calling and multimodal input to guide setup and troubleshooting, and is built with Tauri v2 with 11 language localizations.

## Use cases
- install and manage OpenClaw agent runtime from a GUI
- manage Hermes Agent sessions, memory, and tool calls
- configure OpenAI-compatible model providers like DeepSeek and Kimi
- deploy a web-based AI agent admin panel on a Linux server
- diagnose gateway, port, and log issues without the command line
- manage message channels like QQ, Telegram, and Discord for agents
- run DeepSeek Harness in a managed workbench inside a panel

## When to avoid
- you need a generic LLM chat client rather than agent runtime management
- you only use agent frameworks not supported by the panel
- you require a permissive license for closed-source redistribution (AGPL-3.0)

## Facets
- artifact type: application
- maturity: active
- function: gui, developer-tools, configuration-management, chatbot, agent-framework, llm-inference, self-hosted
- domain: large-language-models, developer-tools, self-hosted
- platform: windows, cross-platform
- tags: tauri-v2, admin-panel, openclaw, hermes-agent, deepseek-harness, multi-engine, ai-assistant, runtime-management, web-deployment, multilingual, ai-agents, automation, macos, linux, web-server, tauri

## Member repositories
- qingchencloud/clawpanel (main) score 78

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:30.591084+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:33:24.734616+00:00, confidence not recorded.
  - readme: https://github.com/qingchencloud/clawpanel (fetched 2026-08-28T04:07:30.591084+00:00, sha ae38a1342ffa)
  - homepage: https://claw.qt.cool (fetched 2026-08-29T09:49:03.414669+00:00, sha 7e1d4d6a7680)
  - site_page: https://claw.qt.cool/docs (fetched 2026-08-29T09:49:03.426160+00:00, sha e279553a0f9a)
  - site_page: https://claw.qt.cool/docs?page=web-deploy (fetched 2026-08-29T09:49:03.428804+00:00, sha fd2cbcaebd43)
  - site_page: https://claw.qt.cool/api-docs (fetched 2026-08-29T09:49:03.430986+00:00, sha 2c83fbc29f4f)
  - site_page: https://claw.qt.cool/docs?page=installation (fetched 2026-08-29T09:49:03.433117+00:00, sha 5ee877ce6eab)
  - site_page: https://claw.qt.cool/docs?page=configuration (fetched 2026-08-29T09:49:03.435324+00:00, sha f8ed8e88ae3f)
  - site_page: https://claw.qt.cool/docs?page=faq (fetched 2026-08-29T09:49:03.437326+00:00, sha 43fabd657f8b)
  - site_page: https://claw.qt.cool/download (fetched 2026-08-29T09:49:03.439360+00:00, sha 13081c0d4568)
- Data as of 2026-08-30T08:39:29.467469+00:00.