clawpanel
AgentFree🦞 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
Capabilities15 decomposed
multi-engine llm gateway orchestration with websocket-based request routing
Medium confidenceClawPanel manages OpenClaw Gateway (WebSocket server on port 18789) as a centralized orchestration layer that routes AI requests across multiple LLM providers (OpenAI, Anthropic, DeepSeek, etc.) with built-in authentication, agent state management, and request queuing. The gateway abstracts provider-specific APIs behind a unified interface, enabling seamless provider switching and multi-model inference without client-side provider logic.
Implements a dedicated WebSocket gateway (port 18789) that decouples provider APIs from client applications, enabling hot-swappable LLM backends without application restarts. Uses agent-scoped authentication tokens and per-request routing rules rather than global API key management.
Unlike LiteLLM or Ollama which proxy at the HTTP level, ClawPanel's WebSocket gateway maintains persistent connections and agent state, reducing latency for multi-turn conversations and enabling real-time agent orchestration.
tool-calling with schema-based function registry and multi-provider bindings
Medium confidenceClawPanel implements structured tool calling through a schema-based function registry that maps JSON schemas to executable functions across OpenAI, Anthropic, and other providers' native function-calling APIs. The system validates tool schemas, handles provider-specific calling conventions (OpenAI tools vs Anthropic tool_use), and manages tool execution results with automatic retry logic and error recovery.
Uses a unified schema registry that abstracts provider-specific tool calling conventions (OpenAI tools, Anthropic tool_use, etc.) through adapter patterns, enabling single tool definition to work across multiple LLM backends without code changes.
More flexible than Anthropic's native tool_use or OpenAI's function calling alone because it provides provider-agnostic schema management and automatic adapter selection based on configured LLM provider.
device pairing and ed25519 key-based authentication
Medium confidenceClawPanel implements device pairing using Ed25519 elliptic curve cryptography for secure authentication between desktop/web clients and the OpenClaw Gateway. Each device generates a unique Ed25519 keypair, exchanges public keys with the gateway during pairing, and uses the private key to sign subsequent requests, enabling secure multi-device access without password sharing.
Uses Ed25519 elliptic curve cryptography for device-level authentication rather than password-based or token-based schemes, enabling secure multi-device access with per-device revocation without password management.
More secure than API key sharing and more scalable than password-based authentication because it enables per-device key management and cryptographic proof of device identity without central password storage.
multilingual ui with 11 language support and locale-aware formatting
Medium confidenceClawPanel provides a multilingual user interface supporting 11 languages with locale-aware formatting for dates, numbers, and currencies. The system uses i18n (internationalization) patterns to manage language strings, enables runtime language switching without UI reload, and maintains language preference across sessions through configuration persistence.
Implements runtime language switching with persistent preference storage, enabling users to change languages without application restart while maintaining locale-aware formatting for dates, numbers, and currencies.
More comprehensive than single-language applications but simpler than full localization frameworks, providing essential multilingual support for international teams without excessive complexity.
hot-update system with version-aware migration and rollback capability
Medium confidenceClawPanel implements a hot-update mechanism that downloads and applies updates without requiring application restart, with version-aware migration logic that transforms configuration and data structures between versions. The system maintains rollback capability by preserving previous versions and enabling downgrade if new versions introduce issues.
Implements version-aware migration that automatically transforms configuration and data structures during updates, enabling seamless transitions between versions while maintaining rollback capability for safety.
More sophisticated than simple file replacement because it understands version compatibility and can transform data structures, reducing manual intervention required during updates compared to manual version management.
command permission system with role-based access control (v0.9+)
Medium confidenceClawPanel v0.9+ implements a command permission system that restricts which operations different users or devices can perform based on assigned roles. The system defines permission scopes (e.g., read-only, agent-management, system-control) and enforces them at the gateway level, enabling multi-user deployments with granular access control without requiring separate authentication systems.
Implements role-based access control at the gateway level with device-level permission enforcement, enabling granular multi-user access without requiring separate authentication infrastructure or external authorization systems.
Simpler than OAuth/OIDC-based systems but more flexible than simple password protection, providing role-based access control suitable for team deployments without external identity provider dependencies.
real-time dashboard with status monitoring and performance metrics
Medium confidenceClawPanel provides a real-time dashboard that displays OpenClaw Gateway status, active agents, request throughput, latency metrics, and resource usage (CPU, memory). The dashboard uses WebSocket connections for live updates, implements metric aggregation and visualization, and provides historical trend analysis for capacity planning.
Provides real-time metric visualization through WebSocket-based dashboard with historical trend analysis, enabling operators to identify performance issues and plan capacity without external monitoring tools.
More integrated than external monitoring tools (Prometheus, Grafana) because metrics are collected natively by the gateway and visualized in the management interface, reducing setup complexity for small deployments.
multimodal input processing with image recognition and vision model integration
Medium confidenceClawPanel integrates vision capabilities by accepting multimodal inputs (text + images) and routing them to vision-enabled LLM providers (GPT-4V, Claude 3 Vision, etc.). The system handles image encoding (base64), format validation (JPEG, PNG, WebP), and provider-specific vision schema mapping, enabling agents to analyze images, charts, and documents as part of reasoning workflows.
Integrates vision capabilities as a first-class multimodal input type within the agent framework, allowing images to be processed alongside text in the same request without separate vision API calls, reducing latency and simplifying agent logic.
Unlike standalone vision APIs (AWS Rekognition, Google Vision), ClawPanel's vision integration is native to the agent reasoning loop, enabling vision results to directly trigger tool calls and multi-step reasoning without intermediate API hops.
agent lifecycle management with memory persistence and workspace isolation
Medium confidenceClawPanel manages individual agent instances with isolated workspaces (stored in ~/.openclaw/agents/{agent-id}/workspace/) containing SOUL.md (agent identity/system prompt), AGENTS.md (sub-agent registry), and persistent memory files. Each agent maintains its own configuration, conversation history, and tool registry, with automatic workspace initialization and version-aware migration on updates.
Implements agent identity through SOUL.md (system prompt + personality definition) and hierarchical agent composition via AGENTS.md, enabling agents to spawn and manage sub-agents while maintaining isolated memory workspaces per agent instance.
Unlike stateless LLM APIs, ClawPanel agents are stateful entities with persistent identity and memory, enabling long-running agents that learn from interactions and maintain context across multiple sessions without explicit context management.
guardian auto-restart service with cooldown logic and failure recovery
Medium confidenceClawPanel implements a Guardian service monitor that automatically restarts the OpenClaw Gateway if it crashes, with exponential backoff cooldown logic to prevent restart loops. The system tracks restart attempts, logs failures, and provides diagnostic information about why the service failed, enabling unattended operation and high availability for the gateway service.
Implements exponential backoff cooldown logic to prevent restart loops while maintaining automatic recovery, distinguishing between transient failures (restart immediately) and persistent failures (increase cooldown duration).
More sophisticated than simple process supervisors (systemd, PM2) because it understands OpenClaw-specific failure modes and implements intelligent cooldown logic rather than fixed restart intervals.
cross-platform desktop application with tauri v2 native system integration
Medium confidenceClawPanel provides a native desktop application (Windows, macOS, Linux) built with Tauri v2, combining a Rust backend for system-level operations (service management, file I/O, process control) with a Vite-based Vue.js frontend. The Tauri bridge enables secure IPC between frontend and Rust backend, allowing desktop-specific capabilities like native file dialogs, system tray integration, and direct service management without elevated privileges.
Uses Tauri v2's secure IPC bridge to enable Rust backend system operations (service control, file management) without requiring elevated privileges for the entire application, maintaining security while providing deep OS integration.
Lighter and more secure than Electron (Tauri binaries ~50MB vs Electron ~150MB) while providing equivalent cross-platform capability and better native OS integration through Rust backend system calls.
web-based management interface with node.js server and vite frontend
Medium confidenceClawPanel provides a browser-based management interface (served via Node.js on configurable port) using Vite for frontend bundling and Vue.js for UI components. The web mode uses an Express-like API middleware (scripts/dev-api.js) to proxy requests to the OpenClaw Gateway, enabling remote management of OpenClaw installations through any web browser without requiring desktop application installation.
Provides identical functionality to desktop mode through a lightweight Node.js server, enabling deployment in Docker containers and remote access scenarios while maintaining feature parity with the Tauri desktop application.
Unlike web-only solutions (Gradio, Streamlit), ClawPanel's web mode maintains full feature parity with desktop mode and can be deployed alongside the desktop app, providing flexibility for different deployment scenarios.
configuration management with json-based settings and hot-reload capability
Medium confidenceClawPanel manages system configuration through JSON files stored in ~/.openclaw/ (openclaw.json for gateway settings, clawpanel.json for UI preferences, mcp.json for MCP protocol settings). The system supports hot-reload of configuration changes without restarting the gateway, enabling dynamic model switching, provider changes, and feature toggles through the UI without service interruption.
Implements hot-reload for configuration changes through file system watchers and gateway-side config reloading, enabling model/provider switching without service restart while maintaining backward compatibility through version-aware migration.
More flexible than environment-variable-only configuration because it supports dynamic updates through the UI and maintains configuration history, while being simpler than database-backed config systems used in larger platforms.
error diagnosis and troubleshooting system with automated log analysis
Medium confidenceClawPanel includes an error diagnosis system (src/lib/error-diagnosis.js) that analyzes gateway logs, service state, and configuration to identify common failure modes and suggest remediation steps. The system detects issues like port conflicts, missing API keys, authentication failures, and memory exhaustion, providing actionable diagnostic output without requiring manual log inspection.
Implements pattern-based error diagnosis that analyzes logs and system state to identify root causes and suggest fixes, reducing time-to-resolution for common setup issues without requiring expert knowledge.
More targeted than generic log analysis tools because it understands OpenClaw-specific failure modes and provides context-aware suggestions rather than just highlighting error lines.
docker cluster management with multi-instance orchestration
Medium confidenceClawPanel supports deploying and managing multiple OpenClaw instances in Docker containers, with automated container lifecycle management (start, stop, restart), volume mounting for persistent configuration, and network configuration for inter-container communication. The system enables scaling OpenClaw horizontally by managing multiple gateway instances with load balancing awareness.
Integrates Docker container lifecycle management directly into the ClawPanel UI, enabling non-DevOps users to deploy and manage multi-instance OpenClaw clusters without Docker CLI knowledge.
Simpler than Kubernetes but more powerful than manual Docker commands, providing a middle ground for teams needing multi-instance management without full container orchestration complexity.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓teams building multi-provider AI applications
- ✓developers deploying OpenClaw agents at scale
- ✓organizations needing vendor lock-in avoidance
- ✓developers building agentic workflows with external integrations
- ✓teams needing provider-agnostic tool calling
- ✓applications requiring deterministic function execution
- ✓teams with multiple developers accessing shared OpenClaw instances
- ✓organizations requiring device-level access control
Known Limitations
- ⚠Gateway must be running as a separate service (port 18789) — no in-process embedding
- ⚠WebSocket connection overhead adds ~50-100ms per request roundtrip
- ⚠Provider-specific features (vision, function calling) require explicit schema mapping
- ⚠No built-in request caching — relies on client-side or external cache layer
- ⚠Tool schemas must be JSON Schema compliant — complex recursive types require flattening
- ⚠Provider differences in tool calling (OpenAI vs Anthropic) require adapter layer
Requirements
Input / Output
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Repository Details
Last commit: Apr 21, 2026
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🦞 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
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