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Control Claude Code and Codex CLI from Telegram. Live streaming, sessions, cron jobs, webhooks, Docker sandboxing.

Project description

ductor

Claude Code, Codex CLI, and Gemini CLI as your Telegram assistant.
Persistent memory. Scheduled tasks. Live streaming. Docker sandboxing.
Uses only official CLIs. Nothing spoofed, nothing proxied.

PyPI Python License

Quick start · Why ductor? · Features · Prerequisites · How it works · Commands · Docs · Contributing


ductor runs on your machine, uses your existing CLI authentication, and keeps state in plain JSON/Markdown under ~/.ductor/.

You can:

  • chat from Telegram with Claude/Codex/Gemini,
  • stream responses live into edited Telegram messages,
  • run cron jobs and webhooks,
  • let heartbeat checks proactively notify you,
  • isolate runtime with Docker.

ductor /start screen ductor quick action buttons

Left: /start screen, right: quick action callbacks

Quick start

pipx install ductor
ductor

The onboarding wizard handles CLI checks, Telegram setup, timezone, optional Docker, and optional background service install.

Why ductor?

ductor executes the real provider CLIs as subprocesses. It does not proxy or spoof provider API calls.

  • Official CLIs only (claude, codex, gemini)
  • Rule files are plain Markdown (CLAUDE.md, AGENTS.md, GEMINI.md)
  • Memory is one Markdown file (workspace/memory_system/MAINMEMORY.md)
  • Automation state is JSON (cron_jobs.json, webhooks.json)

Features

Core

  • Real-time streaming with live Telegram edits
  • Provider/model switching with /model (provider sessions are preserved per chat)
  • @model directive support (Claude + Gemini IDs/aliases)
  • Media-aware input flow (text/media handling in Telegram layer)
  • Inline callback buttons ([button:Label])
  • Queue tracking with per-message cancel while lock is held
  • Telegram forum topic support (message_thread_id propagation)

Automation

  • Cron jobs: in-process scheduler with timezone support, per-job overrides, quiet hours, dependency queue
  • Webhooks: wake (inject into active chat) and cron_task (isolated task run) modes
  • Heartbeat: proactive checks in active sessions with cooldown + quiet hours
  • Cleanup: daily retention cleanup for telegram_files/ and output_to_user/

Infrastructure

  • Built-in service manager:
    • Linux: systemd --user
    • macOS: launchd Launch Agent
    • Windows: Task Scheduler task
  • Docker sidecar sandbox support (Dockerfile.sandbox)
  • Restart protocol (EXIT_RESTART = 42) + sentinel-based user notifications
  • Version/update flow with Telegram /upgrade callback path

Developer UX

  • Auto-onboarding on first run
  • Deep-merge config upgrades (new keys auto-added)
  • Rich diagnostics (/diagnose, /status)
  • Interactive /cron, /model, /showfiles flows
  • Cross-tool skill sync (~/.ductor/workspace/skills, ~/.claude/skills, ~/.codex/skills, ~/.gemini/skills)

Prerequisites

Requirement Details
Python 3.11+ python3 --version
pipx (recommended) or pip pip install pipx
At least one CLI installed + authenticated Claude, Codex, or Gemini
Telegram Bot Token from @BotFather
Telegram User ID from @userinfobot
Docker (optional) recommended for sandboxing

Docker Support Info:

Docker has been thoroughly tested on Linux. I have not yet had the opportunity to thoroughly test the implementation on Windows.

CLI references:

Detailed installation: docs/installation.md

Run as a background service

ductor service install
ductor service status
ductor service start
ductor service stop
ductor service logs
ductor service uninstall

Platform details:

  • Linux: ~/.config/systemd/user/ductor.service, logs via journalctl --user -u ductor -f
  • macOS: ~/Library/LaunchAgents/dev.ductor.plist, log files at ~/.ductor/logs/service.log + service.err, ductor service logs tails recent lines from agent.log (fallback newest *.log)
  • Windows: Task Scheduler task ductor (10s logon delay), prefers pythonw.exe -m ductor_bot, ductor service logs tails recent lines from agent.log (fallback newest *.log)

How it works

You (Telegram)
  -> aiogram (AuthMiddleware + SequentialMiddleware)
  -> TelegramBot handlers
  -> Orchestrator (commands/directives/flows)
  -> CLIService
  -> claude/codex/gemini subprocess
  -> streamed or non-streamed response back to Telegram

Background observers run in the same process:

  • CronObserver
  • HeartbeatObserver
  • WebhookObserver
  • CleanupObserver
  • CodexCacheObserver
  • GeminiCacheObserver
  • UpdateObserver (only for upgradeable installs: pipx/pip)
  • rule sync watcher (CLAUDE.md/AGENTS.md/GEMINI.md)
  • skill sync watcher

Session behavior (important):

  • sessions are chat-scoped,
  • provider sessions are isolated per provider bucket,
  • /new resets only the active provider bucket,
  • switching back to another provider can resume that provider’s previous session.

Workspace layout

~/.ductor/
  config/config.json
  sessions.json
  cron_jobs.json
  webhooks.json
  CLAUDE.md
  AGENTS.md
  GEMINI.md
  logs/agent.log
  workspace/
    memory_system/MAINMEMORY.md
    cron_tasks/
    skills/
    tools/
      cron_tools/
      webhook_tools/
      telegram_tools/
      user_tools/
    telegram_files/
    output_to_user/

Configuration

Config file: ~/.ductor/config/config.json

Core keys:

Key Purpose
provider / model default runtime target
telegram_token, allowed_user_ids Telegram auth + allowlist
cli_timeout, permission_mode, file_access runtime execution behavior
reasoning_effort default Codex reasoning level
gemini_api_key config fallback key for Gemini API-key mode
docker.* sandbox settings
heartbeat.* proactive check settings
cleanup.* daily cleanup settings
webhooks.* webhook server settings
cli_parameters.claude/codex/gemini provider-specific extra args

Full schema: docs/config.md

Telegram bot commands

Command Description
/start Welcome screen with quick actions
/new Reset active provider session for this chat
/stop Abort active run and drain queued messages
/model Interactive model/provider selector
/status Session/provider/auth status
/memory Show persistent memory file
/cron Interactive cron management
/showfiles Browse ~/.ductor/
/diagnose Runtime diagnostics + cache/log info
/upgrade Check/apply update flow
/restart Restart bot
/info Version + links
/help Command reference

CLI commands

Command Description
ductor Start bot (auto-onboarding if needed)
ductor onboarding Run setup wizard (smart reset if configured)
ductor reset Alias for onboarding
ductor status Runtime status panel
ductor stop Stop bot + optional Docker container
ductor restart Stop and re-exec bot
ductor upgrade Upgrade package and restart (non-dev mode)
ductor uninstall Remove bot data + uninstall package
ductor service ... Service management (install/status/start/stop/logs/uninstall)
ductor help Help + status

Documentation

Disclaimer

ductor runs official provider CLIs and does not impersonate provider clients. Terms and policies can change; validate your own compliance requirements before unattended automation.

Provider policy links:

Contributing

git clone https://github.com/PleasePrompto/ductor.git
cd ductor
python -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"
pytest
ruff format .
ruff check .
mypy ductor_bot

Target quality bar: zero warnings, zero errors.

License

MIT

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