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hermes-cn-desktop

Hermes Agent CN Desktop - Windows-first AI agent desktop app built with Tauri, TypeScript, and Rust

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name hermes-cn-desktop description Hermes Agent CN Desktop - Windows-first AI agent desktop app built with Tauri, TypeScript, and Rust triggers ["build hermes agent desktop app","develop tauri desktop application","integrate hermes agent core","setup hermes cn desktop dev environment","create hermes agent ui components","manage hermes runtime installation","debug tauri rust commands","implement hermes agent features"] Hermes CN Desktop Skill Skill by ara.so — Hermes Skills collection. Hermes Agent CN Desktop is a native desktop client for Hermes Agent, built with Tauri v2, Rust, React, and TypeScript. It provides a Windows-first, cross-platform desktop experience with embedded Hermes Agent core runtime, supporting local and cloud LLM providers with Chinese ecosystem integration. What This Project Does Hermes CN Desktop wraps the Hermes Agent dashboard in a native desktop application that: Manages local Hermes Agent runtime (install, update, health checks, rollback) Provides native file dialogs, window management, and system integration Proxies REST/SSE requests through Rust to bypass CORS in production mode Offers complete Agent UI: chat, streaming, attachments, MCP tools, Skills, Memory Supports Chinese LLM providers (Zhipu, Baichuan, DeepSeek, etc.) and local models (Ollama, vLLM) Includes built-in runtime diagnostics and health monitoring Installation & Setup Prerequisites # Install Rust curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh # Install Node.js 20+ and pnpm 9+ npm install -g pnpm # macOS only: Install Xcode Command Line Tools xcode-select --install Clone and Install git clone https://github.com/Eynzof/Hermes-CN-Desktop.git cd Hermes-CN-Desktop pnpm install Development Setup You need a running Hermes Dashboard. Either: Option A: Use Hermes-CN-Core # Clone and run Hermes-CN-Core in parallel git clone https://github.com/Eynzof/Hermes-CN-Core.git cd Hermes-CN-Core hermes dashboard --host 127.0.0.1 --port 9120 --no-open Option B: Use local Hermes CLI hermes dashboard --host 127.0.0.1 --port 9120 --no-open Start desktop dev mode: # Terminal 1: Start Vite dev server pnpm web:dev # Terminal 2: Run Tauri app cargo run # Or use combined command pnpm tauri:dev Key Commands Development Command Description pnpm web:dev Start Vite dev server (port 9545) cargo run Compile and run Tauri desktop window pnpm tauri:dev Combined Tauri dev mode (auto-starts Vite) pnpm typecheck Run TypeScript type checking pnpm test:unit Run Vitest unit tests cargo check Run Rust compile check cargo test --all-features Run Rust tests Building # Production build for current platform pnpm tauri:build # Debug build with symbols pnpm tauri:build:debug Build artifacts: Production: target/release/bundle/ Debug: target/debug/bundle/ Quality Checks # Frontend checks pnpm typecheck pnpm test :unit # Rust checks cargo fmt --all -- --check cargo clippy --all-targets -- -D warnings cargo test --all-features --no-fail-fast Project Structure hermes-cn-desktop/ ├── src/ # Rust backend (Tauri commands, process mgmt) │ ├── main.rs # Entry point │ ├── commands/ # Tauri IPC commands │ ├── runtime/ # Runtime manager │ └── proxy/ # REST/SSE proxy layer ├── web/ # React frontend (Vite + TanStack) │ ├── src/ │ │ ├── components/ # UI components │ │ ├── hooks/ # React hooks │ │ ├── stores/ # Jotai state │ │ └── api/ # API clients │ └── vite.config.ts ├── packages/ │ ├── protocol/ # Zod schemas, API contracts │ └── shared-ui/ # Design tokens, shared components ├── static/ # Bundled Dashboard & runtime ├── scripts/ # Build & staging scripts └── tauri.conf.json # Tauri configuration Configuration Tauri Configuration ( tauri.conf.json ) { "productName" : "Hermes Agent CN Desktop" , "identifier" : "cn.hermesagent.desktop" , "build" : { "beforeDevCommand" : "pnpm web:dev" , "beforeBuildCommand" : "pnpm web:build" , "devUrl" : "http://localhost:9545" , "frontendDist" : "../web/dist" } , "windows" : [ { "title" : "Hermes Agent CN" , "width" : 1200 , "height" : 800 , "minWidth" : 800 , "minHeight" : 600 } ] } Environment Variables # Development VITE_API_BASE_URL=http://127.0.0.1:9120 VITE_DEV_MODE= true # Runtime configuration (passed to Hermes Core) HERMES_YOLO_MODE= false # Auto-approve dangerous commands HERMES_PORT=9120 HERMES_HOST=127.0.0.1 Code Examples Rust: Tauri Command // src/commands/runtime.rs use tauri::State; use crate::runtime::RuntimeManager; #[tauri::command] pub async fn start_runtime ( runtime_manager: State< '_ , RuntimeManager>, ) -> Result < String , String > { runtime_manager . start () . await . map (|pid| format! ( "Runtime started with PID: {}" , pid)) . map_err (|e| format! ( "Failed to start runtime: {}" , e)) } #[tauri::command] pub async fn get_runtime_health ( runtime_manager: State< '_ , RuntimeManager>, ) -> Result <serde_json::Value, String > { runtime_manager . health_check () . await . map_err (|e| e. to_string ()) } TypeScript: React Component with Tauri IPC // web/src/components/RuntimeStatus.tsx import { invoke } from '@tauri-apps/api/core' ; import { useQuery } from '@tanstack/react-query' ; export function RuntimeStatus ( ) { const { data : health, isLoading } = useQuery ({ queryKey : [ 'runtime-health' ], queryFn : async () => { return await invoke< HealthStatus >( 'get_runtime_health' ); }, refetchInterval : 5000 , }); if (isLoading) return < div > Loading runtime status... </ div > ; return ( < div className = "runtime-status" > < h3 > Runtime Health </ h3 > < div > Status: {health?.status} </ div > < div > Version: {health?.version} </ div > < div > Uptime: {health?.uptime}s </ div > </ div > ); } TypeScript: API Client with Zod Validation // web/src/api/runtime.ts import { z } from 'zod' ; const RuntimeConfigSchema = z. object ({ port : z. number (), host : z. string (), yolo_mode : z. boolean (), }); export type RuntimeConfig = z. infer < typeof RuntimeConfigSchema >; export async function updateRuntimeConfig ( config : RuntimeConfig ): Promise < void > { const validated = RuntimeConfigSchema . parse (config); await fetch ( '/api/runtime/config' , { method : 'PUT' , headers : { 'Content-Type' : 'application/json' }, body : JSON . stringify (validated), }); } Rust: REST Proxy Command // src/commands/proxy.rs use reqwest::Client; use serde_json::Value; #[tauri::command] pub async fn proxy_request ( url: String , method: String , body: Option <Value>, ) -> Result <Value, String > { let client = Client:: new (); let request = match method. as_str () { "GET" => client. get (&url), "POST" => client. post (&url). json (&body), "PUT" => client. put (&url). json (&body), "DELETE" => client. delete (&url), _ => return Err ( "Unsupported HTTP method" . to_string ()), }; let response = request . send () . await . map_err (|e| e. to_string ())?; response .json::<Value>() . await . map_err (|e| e. to_string ()) } TypeScript: Jotai State Management // web/src/stores/settings.ts import { atom } from 'jotai' ; import { atomWithStorage } from 'jotai/utils' ; export const themeAtom = atomWithStorage< 'light' | 'dark' >( 'hermes-theme' , 'light' ); export const yoloModeAtom = atom ( false ); export const modelProviderAtom = atomWithStorage ( 'hermes-model-provider' , { provider : 'openai' , apiKey : '' , baseUrl : '' , } ); Common Patterns Runtime Lifecycle Management // src/runtime/manager.rs use std::process::{Child, Command}; use tokio::sync::RwLock; pub struct RuntimeManager { process: RwLock< Option <Child>>, config_path: PathBuf, } impl RuntimeManager { pub async fn start (& self ) -> Result < u32 , RuntimeError> { let mut process_lock = self .process. write (). await ; if process_lock. is_some () { return Err (RuntimeError::AlreadyRunning); } let child = Command:: new ( "hermes" ) . arg ( "start" ) . arg ( "--config" ) . arg (& self .config_path) . spawn ()?; let pid = child. id (); *process_lock = Some (child); Ok (pid) } pub async fn stop (& self ) -> Result <(), RuntimeError> { let mut process_lock = self .process. write (). await ; if let Some ( mut child) = process_lock. take () { child. kill ()?; child. wait ()?; } Ok (()) } } Frontend Data Fetching Pattern // web/src/hooks/useRuntimeStatus.ts import { useQuery, useMutation, useQueryClient } from '@tanstack/react-query' ; import { invoke } from '@tauri-apps/api/core' ; export function useRuntimeStatus ( ) { const queryClient = useQueryClient (); const status = useQuery ({ queryKey : [ 'runtime-status' ], queryFn : () => invoke< RuntimeStatus >( 'get_runtime_status' ), refetchInterval : 3000 , }); const start = useMutation ({ mutationFn : () => invoke ( 'start_runtime' ), onSuccess : () => { queryClient. invalidateQueries ({ queryKey : [ 'runtime-status' ] }); }, }); const stop = useMutation ({ mutationFn : () => invoke ( 'stop_runtime' ), onSuccess : () => { queryClient. invalidateQueries ({ queryKey : [ 'runtime-status' ] }); }, }); return { status, start, stop }; } SSE Streaming Pattern // web/src/api/streaming.ts import { invoke } from '@tauri-apps/api/core' ; export async function streamChatResponse ( message : string , onChunk : (chunk: string ) => void , onError : (error: string ) => void ) { try { await invoke ( 'stream_chat' , { message, onChunk : ( chunk : string ) => { onChunk (chunk); }, }); } catch (error) { onError (error as string ); } } Troubleshooting Runtime Won't Start # Check runtime binary exists ls static/runtime/ # Verify runtime permissions (macOS/Linux) chmod +x static/runtime/hermes # Check runtime logs tail -f ~/.hermes/logs/runtime.log # Test runtime independently ./static/runtime/hermes start --debug CORS Issues in Development Development mode runs Vite on localhost:9545 accessing Dashboard on 127.0.0.1:9120 . Use proxy command: // Instead of direct fetch const response = await fetch ( 'http://127.0.0.1:9120/api/chat' );
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skill_idUnique skill ID
nameSkill name
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descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
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exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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