✈️ tgcli — Telegram for your terminal and your AI agents.

Give AI agents (Claude Code, Codex, Cursor, etc.) direct access to your Telegram conversations. Structured JSONL output, minimal command surface, fuzzy name resolution. Works equally well for humans with --pretty.

Features

• JSONL by default — one JSON object per line; agents parse it natively, scripts pipe it freely
• Minimal surface — a handful of commands; easy for agents to discover and invoke
• Fuzzy resolution — chat and user names match by display name (no numeric IDs required)
• --pretty for humans — Rich tables when you want to read output yourself
• Secure session storage — Telethon session key stored in system keychain via keyring

Installation

One-liner (installs uv if needed):

curl -fsSL https://raw.githubusercontent.com/tksohishi/tgcli/main/install.sh | bash

Homebrew:

brew install tksohishi/tap/tgcli

With uv:

uv tool install pytgcli

From source:

git clone https://github.com/tksohishi/tgcli.git
cd tgcli
uv tool install .

Quick Start

1. Get API Credentials

Create a Telegram API app at my.telegram.org/apps. You'll get an api_id and api_hash.

2. Authenticate

tg auth

This walks you through setup: saves your API credentials to ~/.config/tgcli/config.toml, then logs in with phone number + verification code.

3. Read Messages

tg read "Alice"
tg read "Finance Team" --limit 20
tg read "Finance Team" -q "budget"
tg read "Finance Team" -q "deadline" --from "Alice" --after 2025-01-01

4. View Context

tg context "Finance Team" 12345

Use with AI Agents

Once authenticated, any AI coding agent with shell access can use tgcli directly. A few examples:

Ask Claude Code to summarize a group chat:

"Read the last 30 messages from 'Engineering' and summarize the key decisions."

The agent runs tg read "Engineering" --limit 30, parses the JSONL, and responds.

Find a past conversation:

"What did I discuss with Alice last week about the deployment?"

The agent runs tg read "Alice" -q "deployment" --after 2025-02-14 and surfaces the relevant messages.

Pipe into scripts:

tg read "Alerts" --limit 100 | jq 'select(.text | test("ERROR"))'

No wrapper libraries or API adapters needed. The structured output and simple command surface mean agents can use tgcli out of the box.

Commands

tg auth

Smart entrypoint: creates config if missing, logs in if needed, shows status if already authenticated.

Explicit subcommands:

• tg auth login - interactive login (phone + code/2FA)
• tg auth logout - remove session from system keychain
• tg auth status - show auth state

tg chats

List your Telegram chats. Returns JSONL by default.

Flag	Description
--filter	Fuzzy filter by chat name
--limit	Max chats to list (default 100)
--pretty	Rich table output instead of JSONL

tg read <chat>

Read recent messages from a chat. Returns JSONL by default, newest first.

Flag	Description
--query/-q	Filter messages by text
--from	Filter by sender
--limit	Max messages (default 50)
--head	Oldest messages first
--after	Only messages after date (YYYY-MM-DD)
--before	Only messages before date (YYYY-MM-DD)
--pretty	Rich table output instead of JSONL

tg update

Upgrade tgcli to the latest version. Detects the install method and runs the right command (or tells you what to run for Homebrew installs).

tgcli checks PyPI for new versions once per day and prints a notice to stderr when an update is available. Set TGCLI_NO_UPDATE_CHECK=1 to disable.

tg context <chat> <message_id>

View a message with surrounding context. Returns JSONL by default.

Flag	Description
--context	Messages before/after (default 5)
--pretty	Rich text output instead of JSONL

Configuration

Config lives at ~/.config/tgcli/config.toml:

api_id = 123456
api_hash = "your_api_hash"

Alternatively, set TELEGRAM_API_ID and TELEGRAM_API_HASH environment variables.

Contributing

uv sync --group dev
uv run pytest
uv run ruff check

Tests mock Telethon entirely; no real API calls are made.

License

MIT