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README.md

LiveAgent

LiveAgent

Your Local-First AI Agent Desktop
Multi-model access · Local tool execution · MCP & Skills ecosystem · Remote Gateway

English | 简体中文

Platform Tauri React Rust Go License

Core FeaturesDownload & DeploymentFAQDocs


🌟 Special Thanks

LINUX DO

For all things AI, head to LINUX DO! Wishing the community ever greater success~


❤️ Sponsor

PackyCodePackyCode is a reliable, efficient, and professional API relay service provider, offering relay services for Claude Code, Codex, Gemini, Chinese domestic models, and more — a long-established, top-tier relay. The vast majority of the model resources used to develop this software were provided by PackyCode — thank you, Laonong! Register here to get started!
RightCodeRight Code provides stable relay services for Claude Code, Codex, Gemini, Chinese domestic models, and more. Invoices are available upon top-up, and enterprise and team users receive dedicated one-on-one support. The remaining model resources used to develop this software were provided by RightCode — thanks to the RC site owner and the support team! Register here to get started!
CubenceCubence is a reliable and efficient API relay service provider, offering relay services for Claude Code, Codex, Gemini, and more, with pay-as-you-go billing. Thanks to Cubence for supporting this project! Register here to get started!

🤝 Come Build With Us!

LiveAgent QQ Group

Scan the QR code to join our QQ group and help drive LiveAgent development!
(Why a QQ group? It just packs a few more features than a WeChat group~)


Why LiveAgent?

LiveAgent is a local-first AI agent desktop client. It deeply integrates large language model reasoning with local system tools, so the AI can genuinely operate your file system, run commands, and manage scheduled tasks — while the Gateway enables remote access and collaboration.

  • An agent that actually gets things done — beyond chat: read and write files, make precise edits, run Bash, and supervise long-running processes
  • A fully open ecosystem — bridge any external tool via the MCP protocol, and load Skills packages on demand
  • Both local and remote — the desktop app works fully standalone; deploy the Gateway and control it from any browser

Core Features

🧠 Multi-Model & Chat

  • Multi-model routing — Claude (Anthropic), Codex (OpenAI), and Gemini protocols, with custom Base URL support for third-party compatible services
  • Rich rendering — streaming Markdown with built-in KaTeX math, Mermaid diagrams, and Monaco code preview
  • History compaction — dual-layer Segment + Summary Checkpoint persistence keeps long conversations from losing context
  • Internationalization — built-in i18n multi-language framework

🔧 Local Tool Execution

  • Full file-system capabilities — precise Read / Write / Edit / Delete, plus Glob / Grep pattern and regex search
  • Bash & long-running processes — non-interactive command execution (cwd / timeout), with ManagedProcess supervising dev servers and other resident tasks
  • Sub-agent delegation — independent sub-agents execute in parallel with worktree isolation and automatic merging
  • Tunnel exposureTunnelManager exposes local services to the public internet in one click

🧩 MCP & Skills Ecosystem

  • MCP protocol bridging — the Tauri side natively bridges any stdio / http MCP server for unlimited tool extension
  • Skills packages — progressive disclosure and on-demand loading, with install / create / package support and the ClawHub ecosystem

💾 Memory & Automation

  • Persistent memory — Markdown + SQLite FTS full-text search for cross-session knowledge management
  • Scheduled tasks — bash / http / prompt cron job types, executed automatically in the background

🌐 Remote Gateway

  • Access from any browser — Go gateway (WebSocket + Protobuf) with a WebUI for remotely controlling the local agent
  • Disconnect recovery — a bounded seq window replays short outages, with desktop-side persistence as the safety net

Download & Deployment

Installers are automatically built, signed, and published by GitHub Actions — grab the latest version from GitHub Releases.

System Requirements

PlatformRequirements
macOSBoth Intel (x64) and Apple Silicon (aarch64) architectures
Windowsx64; requires the WebView2 runtime (bundled with Windows 11)
Linuxx86_64; requires WebKitGTK 4.1 (Ubuntu 22.04+ / Debian 12+, etc.)

macOS

Download the DMG matching your chip from Releases, open it, and drag LiveAgent into Applications:

  • Apple Silicon (M-series): LiveAgent-<version>-macOS-aarch64.dmg
  • Intel: LiveAgent-<version>-macOS-x64.dmg

The installer is signed and notarized by Apple — no manual security override is needed on first launch.

Windows

Pick an installation method from Releases:

MethodFileBest for
Setup wizardLiveAgent-<version>-Windows-x64-Setup.exeMost users
MSI packageLiveAgent-<version>-Windows-x64.msiEnterprise distribution / silent install
PortableLiveAgent-<version>-Windows-x64-portable.zipNo install — unzip and run

Linux

Choose by distribution from Releases:

FormatDistributionsInstall
AppImageAny distributionchmod +x, then run directly
DEBDebian / Ubuntu familysudo dpkg -i LiveAgent-<version>-Linux-x86_64.deb
RPMFedora / openSUSE familysudo rpm -i LiveAgent-<version>-Linux-x86_64.rpm

Need Remote Access? Deploy the Gateway

The desktop app works out of the box and depends on no server. Deploy the Gateway only if you want to control your local agent from a browser.

Note: when deployed behind an Nginx reverse proxy, set the Gateway address on the Settings → Remote page to the HTTPS URL and use port 443.

# Pull the image (built by GitHub Actions, multi-arch: amd64 / arm64)
docker pull ghcr.io/stack-cairn/liveagent-gateway:latest

# Run in the background (HTTP/WebSocket → host 3000)
docker run -d \
  --name liveagent-gateway \
  --restart unless-stopped \
  -p 3000:8080 \
  -v liveagent-gateway-data:/var/lib/liveagent \
  -e LIVEAGENT_GATEWAY_TOKEN=your-token \
  ghcr.io/stack-cairn/liveagent-gateway:latest

The named volume persists the Gateway database and independently issued Agent tokens across container upgrades.

One-command upgrade to the latest version — pull the new image → remove the old container → recreate it with the same arguments (if you changed the port mappings or token, adjust the arguments below accordingly):

docker pull ghcr.io/stack-cairn/liveagent-gateway:latest \
  && docker rm -f liveagent-gateway \
  && docker run -d \
    --name liveagent-gateway \
    --restart unless-stopped \
    -p 3000:8080 \
    -v liveagent-gateway-data:/var/lib/liveagent \
    -e LIVEAGENT_GATEWAY_TOKEN=your-token \
    ghcr.io/stack-cairn/liveagent-gateway:latest \
  && docker image prune -f
Nginx reverse proxy configuration — reference for custom domains / TLS

Since protocol v2, all traffic — the WebUI, the HTTP API, and the WebSocket links of both the browser and the desktop app — goes through the single HTTP port (default 3000).

WebSocket upgrades happen on several paths (/ws/v2, /ws/v2/agent, /ws/v2/terminal, and tunnels under /t/), so the simplest correct setup enables the upgrade on the whole vhost:

# WebUI SPA/static/API + every WebSocket link (browser and desktop)
location / {
    proxy_pass http://127.0.0.1:3000;
    proxy_http_version 1.1;

    # WebSocket upgrade
    proxy_set_header Upgrade $http_upgrade;
    proxy_set_header Connection "upgrade";

    # Required: the Gateway's same-origin check compares the browser's
    # Origin header against X-Forwarded-Proto + Host
    proxy_set_header Host $host;
    proxy_set_header Authorization $http_authorization;
    proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
    proxy_set_header X-Forwarded-Proto $scheme;

    # The Gateway pings every WebSocket connection every 15s,
    # so a generous-but-finite timeout is enough
    proxy_read_timeout 300s;
    proxy_send_timeout 300s;
    proxy_buffering off;
}

The upstream port maps to the host port from the docker run above: HTTP/WebSocket 3000 (inside the container, HTTP actually listens on PORT=8080). The server block needs listen 443 ssl; and a client_max_body_size large enough for attachment uploads (e.g. 100m).

Build from Source

Expand the Development Guide below for the full set of Make commands.

Architecture Overview — diagram & tech stack
┌──────────────────────────────────────────────────────────────┐
│                        Browser WebUI                          │
│              React + Vite + WebSocket + Gateway API           │
└────────────────────────────┬─────────────────────────────────┘
                             │ WebSocket / HTTP
┌────────────────────────────▼─────────────────────────────────┐
│                       Agent Gateway                           │
│    Go · WebSocket · HTTP · Session Manager · Event Store     │
│               (Railway / Docker / self-hosted)                │
└────────────────────────────┬─────────────────────────────────┘
                             │ WebSocket v2 (bidirectional stream)
┌────────────────────────────▼─────────────────────────────────┐
│                        Agent GUI                              │
│                   Tauri 2 · React 19 · Rust                  │
├──────────┬────────────┬───────────┬────────────┬─────────────┤
│ Models   │ Runtime    │ Tools     │ Skills     │ Memory/Cron │
│ pi-ai    │ multi-turn │ FS/Bash/  │ progressive│ SQLite+MD   │
│ + Codex  │ + SubAgent │ MCP bridge│ + Hub      │ FTS index   │
└──────────┴────────────┴───────────┴────────────┴─────────────┘

Tech Stack

ComponentTechnology
Agent GUI · FrameworkTauri 2 + React 19 + TypeScript 6
Agent GUI · BuildVite 8 + pnpm
Agent GUI · StylingTailwind CSS 4 + Radix UI
Agent GUI · Renderingstreamdown + KaTeX + Mermaid + Monaco Editor
Agent GUI · BackendRust + Tokio + SQLite (rusqlite) + WebSocket (tokio-tungstenite)
Agent GUI · LLM@earendil-works/pi-ai · @openai/codex-sdk · claude-agent-sdk
Gateway · LanguageGo 1.25
Gateway · ProtocolsWebSocket + Protobuf + HTTP
Gateway · Web UIReact + Vite + Tailwind CSS (embedded)
Gateway · DeploymentDocker multi-stage · Railway CI/CD
Development Guide — common Make commands (run make help for the full list)
CommandDescription
make devStart the Tauri development environment
make buildBuild the desktop app
make dev-gatewayStart the Gateway dev server
make dev-webuiStart the WebUI dev server
make gateway-buildBuild the Gateway binary
make gateway-docker-buildBuild the Docker image
make gateway-docker-smokeBuild + health check
make desktop-build-macos-releasemacOS signed release build
make build-linuxLinux amd64 gateway
make build-linux-armLinux arm64 gateway
make protoRegenerate Protobuf code
make cleanClean build artifacts
Project Structure — directory tree
LiveAgent/
├── crates/
│   ├── agent-gui/                # Desktop client
│   │   ├── src/                  # React frontend
│   │   │   ├── components/       #   UI components
│   │   │   ├── lib/              #   Core logic (chat, tools, skills, memory)
│   │   │   ├── pages/            #   Pages (Chat, Settings)
│   │   │   ├── i18n/             #   Internationalization
│   │   │   └── prompt/           #   System prompt templates
│   │   └── src-tauri/            # Rust backend (Tauri)
│   │
│   └── agent-gateway/            # Go gateway service
│       ├── cmd/gateway/          #   Entry point
│       ├── internal/             #   Core implementation
│       ├── proto/v2/             #   Protobuf definitions
│       └── web/                  #   Embedded WebUI
│
├── docs/                         # Project docs
│   ├── architecture/             #   Architecture design
│   ├── features/                 #   Feature guides
│   └── operations/               #   Operations & deployment
│
├── scripts/release/              # Release automation
├── .github/workflows/            # CI/CD (CI + Desktop Release + Gateway Docker)
├── Dockerfile                    # Gateway container image
├── Makefile                      # Build commands
└── Cargo.toml                    # Rust workspace

FAQ

Does my API key ever leave my machine?

No. Keys are stored locally on the desktop side only. The Gateway is a pure protocol relay — it never accesses the file system and never stores any credentials.

Do I have to deploy the Gateway?

No. The desktop client works standalone with all local capabilities; deploy the Gateway only when you need browser-based remote access to your local agent.

Which models are supported?

Claude (Anthropic), Codex (OpenAI), and Gemini protocols are built in, plus custom Base URL support for any compatible third-party service.

Will long conversations / disconnects lose context?

No. The desktop app persists the full history with Segment + Summary Checkpoints; the Gateway replays short disconnects through a bounded seq window and converges automatically after reconnecting.


Contributing

Issues and pull requests are welcome! See the Development Guide for setting up a dev environment.

Before submitting a PR, make sure all of the following checks pass (they match the CI gates):

Desktop client · crates/agent-gui

  1. Type check & build pass: pnpm build
  2. Lint passes: pnpm lint
  3. Frontend unit tests pass: pnpm test:frontend (also run pnpm test:release when touching release scripts)
  4. Rust backend check passes: cargo check --manifest-path crates/agent-gui/src-tauri/Cargo.toml --tests (run from the repo root)

Gateway · crates/agent-gateway (if changed)

  1. Go unit tests pass: go test ./...
  2. WebUI build / lint / tests pass: pnpm build && pnpm lint && pnpm test (run in web/)
  3. Regenerate and commit artifacts after proto changes: make proto

Cross-frontend consistency

  • Mirrored files between GUI and WebUI must be byte-identical: node scripts/check-mirror.mjs
  • Keep the diff clean (no trailing whitespace): git diff --check

👥 Contributors

Thanks to everyone who has contributed to LiveAgent!

Contributors

Star History

Star History Chart

License

MIT © StackCairn

关于 About

A fully functional AI Agent desktop client that supports Webui access and can be creatively customized and expanded!
ai-agentsai-toolsclaude-codeclaude-desktopcodexcodex-appdesktop-appfablehermeshermes-agentmcpoepnclawopen-sourceskillstauritypescriptwebui

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