Lucarne

作者 tuchg已验证

Stop babysitting local AI agents. Just notifications, approve, and resume your Codex,Pi,Grok, or Claude code sessions anywhere. 0-Intrusion mobile control bridge via Telegram/微信/飞书. No hooks, no skills, no MCP.

331
Stars
16
Forks
Rust
语言
2026/8/23
添加时间

⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/tuchg/Lucarne

快速入门

使用 Lucarne 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

Lucarne AI Poster

Release Coverage License: MIT Telegram WeChat

English | 中文

Stop babysitting your local AI agents.

  • No new mobile app required; receive timely, secure notifications through existing channels
  • Zero-intrusion setup: no hooks, no skills, no MCP, no project changes; scan a QR code and start using it in one step
  • Agents run on your local computer, so you can step away while WeChat / Telegram keep you synced on key progress
  • Permission approvals, clarifying questions, and failure notifications become actionable mobile events
  • Scan a WeChat QR code to receive agent messages; quote a message to continue the matching context automatically
  • Use the Telegram console to view all agents, workspaces, and historical sessions
  • View local agent session history and agents currently running on this machine
  • Lightweight resident process with high performance and low memory use; idle agents are released automatically

Quick Start

1. Install

macOS / Linux:

curl -LsSf https://github.com/tuchg/Lucarne/releases/latest/download/lucarned-installer.sh | sh

Windows PowerShell:

powershell -c "irm https://github.com/tuchg/Lucarne/releases/latest/download/lucarned-installer.ps1 | iex"
Homebrew (recommended) and release archives

Homebrew:

brew tap tuchg/Lucarne https://github.com/tuchg/Lucarne
brew install lucarned

Release archives are also available for macOS, Linux, and Windows on x86_64 and aarch64.

2. Initialize

lucarned init

Initialization guides you through:

  • Selecting enabled agents: claude, codex, copilot, gemini, pi, grok (Grok Build)
  • Configuring a Telegram Bot Token and an entry chat with Topics/thread mode enabled (optional)
  • Logging in to WeChat by QR code (optional)
  • Generating the config file: ~/.lucarned/lucarned.yaml

3. Start the background service

lucarned autostart install --start
Homebrew service commands (recommended)
brew services start lucarned
brew services restart lucarned
brew services stop lucarned
Platform notes

lucarned autostart uses native user-level service managers:

  • macOS: LaunchAgent
  • Windows: Task Scheduler logon task
  • Linux: systemd user service

Linux autostart requires systemd user services. Non-systemd Linux can run lucarned manually.

4. Open the Telegram panel (optional)

/panel

After the Lucarne panel appears, you can create workspaces, bind agents, resume historical sessions, and approve commands.

Common commands

lucarned doctor
lucarned paths
lucarned autostart status
lucarned autostart start
lucarned autostart stop
lucarned update
Homebrew service commands
brew update
brew upgrade lucarned
brew services start lucarned
brew services restart lucarned
brew services stop lucarned
macOS/Linux config: ~/.lucarned/lucarned.yaml
Windows config:     %LOCALAPPDATA%\lucarned\lucarned.yaml
Logs:               lucarned paths

Configuration Example

See the full example at examples/lucarned.yaml.

After initialization, the active config lives at: ~/.lucarned/lucarned.yaml.

You can also override settings with environment variables:

export TELEGRAM_BOT_TOKEN="123456:..."
export TELEGRAM_CHAT_ID="123456789"
export LUCARNE_AUTHORIZED_USER_IDS="111111,222222"

Usage

See the full command reference at docs/commands.md. This README keeps only the core paths.

WeChat: quote-to-route

  1. Lucarne pushes agent progress to WeChat.
  2. Quote a notification and reply; Lucarne automatically restores the matching agent session.
  3. Continue the conversation with the original context attached.
  4. If rate limits delay pushes, send /latest or /l to clear the backlog and deliver only the latest notification round per workspace (no help menu reply; does not replay the full queue).

WeChat quote routing uses two strategies: it prefers message_id, then falls back to a quoted-text hash.

Telegram: mobile multi-agent console

Telegram needs Topics/thread mode for the entry chat. A private chat with the bot can use the bot's own topic mode (Bot API 9.4+ reports this as has_topics_enabled from getMe); use that private chat ID as entry_chat_id. A forum supergroup also works, but is not required.

  1. Send /panel in the entry chat.
  2. Tap New or send /aN to create an agent workspace.
  3. Enter the workspace topic and assign tasks to agents like a normal chat.
  4. When an agent asks for permission, tap [Approve] / [Deny].
  5. Send /status to inspect state, /interrupt to stop work, or /fork to branch a session.

Telegram workspaces map to Forum Topics. One project gets one topic; one topic can bind one live agent session.

  • Telegram supports every WeChat feature.

Architecture Overview

┌─────────────┐  ┌─────────────┐
│  Telegram   │  │   WeChat    │  ← User-facing channels
└──────┬──────┘  └──────┬──────┘
       │                │
   lucarne-         lucarne-
   telegram         wechat          ← Channel adapter (commands, notifications, queues, retries)
       │                │
       └───────┬────────┘
          lucarne-adapter           ← Plugin registry
               │
           lucarne                  ← Core: runtime bus, control plane, history, daemon
               │
         agent-sessions             ← Provider parse / discovery / watch
               │
    ┌──────┬──────┬──────┬──────┬──────┐
  Claude Codex Gemini Copilot  Pi   Grok  ← Agent CLI processes

Agent Capability Matrix

CapabilityClaudeCodexGeminiCopilotPiGrok Build
Reasoning / Thinking
Tool calls
Structured approval
AskUserQuestion
Usage tracking
Interrupt
Resume
Sub-agents
Native commands
Fork (create branched session)

Development

git clone https://github.com/tuchg/Lucarne.git
cd agents
cargo +nightly check -Zbuild-dir-new-layout
cargo +nightly test -Zbuild-dir-new-layout

Roadmap

  • Linux support: installation docs, service management, release packages, and smoke tests
  • Windows support: installation docs, background execution, path / process compatibility, and release packages
  • Message modes: steer / queue
  • Split agent-sessions into an independent crate
  • Support remote agent environments
  • More agent providers: Cursor, opencode, and more
  • More channels: Discord, Slack, Feishu, DingTalk, Matrix, QQ, and more
  • ....

License

MIT

Friend link: linux.do

常见问题

What is Lucarne?

Lucarne is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by tuchg. Stop babysitting local AI agents. Just notifications, approve, and resume your Codex,Pi,Grok, or Claude code sessions anywhere. 0-Intrusion mobile control bridge via Telegram/微信/飞书. No hooks, no skills, no MCP. It has 331 GitHub stars.

Is Lucarne safe to use?

Yes. Lucarne passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install Lucarne?

Clone the repository with "git clone https://github.com/tuchg/Lucarne" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is Lucarne written in?

Lucarne is primarily written in Rust. It is open-source under tuchg on GitHub, so you can review or fork the full source.

Are there alternatives to Lucarne?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh Lucarne against similar tools.

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