ccgram

作者 alexei-led已验证

Telegram ↔ tmux/herdr bridge for Claude Code, Codex CLI, and Gemini CLI. Monitor output, respond to prompts, manage parallel sessions. Control AI coding agents from your phone.

250
Stars
74
Forks
Python
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/alexei-led/ccgram

快速入门

使用 ccgram 等 Skills 的指南。

安全报告

已验证

上次扫描:—

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

README.md

CCGram — Control AI Coding Agents from Telegram

CI PyPI License

Control AI coding agents from your phone. Walk away mid-session. Keep monitoring and responding from Telegram—without losing terminal access.

Why CCGram?

AI coding agents run in your terminal. Other Telegram bots wrap agent SDKs into isolated API sessions you can't resume in your terminal. CCGram is different. It sits on top of your terminal multiplexer (tmux or herdr), not any agent SDK. Your agent process stays exactly where it is—your session is the source of truth.

This means:

  • Desktop to phone, mid-conversation — walk away and keep monitoring from Telegram
  • Phone back to desktop, anytime — attach to your terminal and you're back with full scrollback
  • Multiple sessions in parallel — each Telegram topic maps to a separate tmux window or guarded Herdr agent session

How It Works

graph LR
  subgraph phone["📱 Telegram Group (Forum Topics)"]
    direction TB
    T1["💬 api — Claude"]
    T2["💬 ui — Codex"]
    T3["💬 data — Gemini"]
    T4["💬 ops — Shell"]
    T5["💬 lab — Pi"]
  end

  subgraph bridge["⚡ CCGram"]
    direction TB
    B1["read output\n(transcripts + terminal)"]
    B2["send keystrokes\n(tmux / herdr)"]
    B3["instant notifications\n(Claude hooks)"]
  end

  subgraph machine["🖥️ Your Machine — tmux / herdr"]
    direction TB
    W1["window @0 · claude"]
    W2["window @1 · codex"]
    W3["window @2 · gemini"]
    W4["window @3 · bash"]
    W5["window @4 · pi"]
  end

  phone -- "messages / voice" --> bridge
  bridge -- "responses / live view" --> phone
  bridge <--> machine

  style phone fill:#e8f4fd,stroke:#0088cc,stroke-width:2px,color:#333
  style bridge fill:#fff8e1,stroke:#f9a825,stroke-width:2px,color:#333
  style machine fill:#f0faf0,stroke:#2ea44f,stroke-width:2px,color:#333

Each Telegram topic maps to one tmux window. With Herdr, it maps instead to one guarded agent session: agent.list is the sole identity source and CCGram persists only an opaque herdr-session-v1-… target, never a tab or pane ID. Every action reads a fresh agent.list record and fails closed for missing, duplicate, malformed, sessionless, or legacy bindings. A session can still change after that guard and before Herdr dispatches, so delivery is not atomic and may be indeterminate after this post-guard race.


What You Can Do

  • Bind agents to topics — one agent per Telegram topic; create via directory browser
  • Auto-detect providers — Supports Claude Code, Codex, Gemini, Pi, and Shell simultaneously
  • Monitor live — Terminal screenshots on demand or auto-refresh every 5 seconds
  • Send commands — Slash commands, voice messages (transcribed via Whisper), or raw shell input
  • Run multiple agents in parallel — each topic independent; run different agents at once
  • Recover gracefully — Resume, continue, or start fresh if a session crashes
  • Send workspace files — Share files to Telegram via /send (glob, path, or substring search)
  • Action toolbar — Provider-specific buttons for common actions (Screenshot, Mode, Esc, Enter, etc.)

Quick Start

Install:

uv tool install ccgram          # recommended
# or: pipx install ccgram | brew install alexei-led/tap/ccgram

Telegram setup:

  1. Create a bot via @BotFatherfull instructions
  2. Add bot to a Telegram group with Topics enabled; promote to Admin
  3. Create ~/.ccgram/.env:
TELEGRAM_BOT_TOKEN=your_bot_token_here
ALLOWED_USERS=your_telegram_user_id
CCGRAM_GROUP_ID=your_telegram_group_id

Get user ID from @userinfobot. Get group ID via @RawDataBot (prefix Peer ID with -100).

Run:

ccgram

Open your Telegram group, create a topic, send a message — directory browser appears. Pick a project directory, choose your agent (Claude, Codex, Gemini, Pi, or Shell), and you're connected.

Prerequisites: Python 3.14+, tmux or herdr, and one agent CLI. CCGram does not modify agent SDKs.

Herdr setup

CCGram supports Herdr socket protocols 14–17 and 19–20. Unknown protocol versions are attempted with a warning for forward compatibility; individual command failures still surface if the protocol is not usable. Install Herdr's integration before launching an agent that needs a native session identity:

herdr integration install pi
herdr integration install antigravity-cli

Restart an already-running agent after installation. Antigravity receives a native Herdr session identity after its first prompt creates a conversation.

Start new agents, or restart already-running agents, after installing the integration so they publish their agent_session identity. Then set CCGRAM_MULTIPLEXER=herdr and run ccgram hook --install as usual.

Platform Support

CCGram supports Linux, macOS, and WSL2. Native Windows is not supported.

On Windows, install and run CCGram inside WSL2. Install tmux or herdr and the agent CLI inside the WSL distribution.

Native Windows does not provide the Unix file locking, signal handling, and terminal multiplexer features that CCGram requires.


Documentation

  • Guides — CLI reference, configuration, voice transcription, multi-instance setup, session recovery, testing
  • Providers — Claude Code, Codex, Gemini, Pi, Shell; session modes, LLM config, custom commands, git worktrees

Optional Features

Web Dashboard — Live terminal (xterm.js), transcript search, multi-pane grid in Telegram. Disabled by default. Enable here.


Development

git clone https://github.com/alexei-led/ccgram.git && cd ccgram
uv sync --extra dev
make check         # lint, format, typecheck, test
make test-e2e      # end-to-end tests (requires agent CLIs; see docs/guides.md#e2e-tests)

License

MIT

常见问题

What is ccgram?

ccgram is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by alexei-led. Telegram ↔ tmux/herdr bridge for Claude Code, Codex CLI, and Gemini CLI. Monitor output, respond to prompts, manage parallel sessions. Control AI coding agents from your phone. It has 250 GitHub stars.

Is ccgram safe to use?

Yes. ccgram 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 ccgram?

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

What programming language is ccgram written in?

ccgram is primarily written in Python. It is open-source under alexei-led on GitHub, so you can review or fork the full source.

Are there alternatives to ccgram?

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 ccgram against similar tools.

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