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LinearTelegramAGNT

Automate Linear + Telegram

Fast issue tracking that deserves fast automation. The fastest channel between your agents and your phone. Put an agent between them and the hand-off stops being manual: it reads, decides, acts, and shows its work.

Install Meeting Follow-Through → Get AGNT free

Meeting Follow-Through is a ready-made agent built around Linear; point its last step at Telegram to finish this hand-off.

Automations teams run

Each of these runs with a reasoning step between the two tools, so what reaches Telegram is a decision about the Linear event rather than a transcription of it.

When an issue is created in Linear…

…an agent can send messages and alerts in Telegram — after reading the context and deciding it should.

When a status changes in Linear…

…an agent can reply to commands in Telegram — after reading the context and deciding it should.

When a cycle ends in Linear…

…an agent can deliver files and reports in Telegram — after reading the context and deciding it should.

When a message arrives in Telegram…

…an agent can create issues with full context in Linear — with the reasoning recorded in the run’s receipt.

When a command is sent in Telegram…

…an agent can update status and assignees in Linear — with the reasoning recorded in the run’s receipt.

When a schedule fires in Telegram…

…an agent can write cycle summaries in Linear — with the reasoning recorded in the run’s receipt.

The Linear and Telegram hand-off, setup template

Start with a custom-api call to api.linear.app and the telegram-api node. Configure the Linear source payload, the agent input, and the Telegram operation. The sequential template does not implement conditional writes or approval by itself.

Linear to Telegram: run on a schedule → review source and draft → configure destination in telegram TRIGGER trigger-timer Run on a schedule Configure activation ACTION agnt-agent Review source and draft Configure inputs ACTION telegram-api Configure destination in Telegram Configure inputs
Setup template for Linear and Telegram; verify data mapping and authorization using test accounts.
Linear → TelegramSetup template · configure before activation

This is a schema-checked starting point, not an end-to-end tested automation. Replace every CONFIGURE_ value, choose the operations you intend, connect credentials and map source outputs into later inputs. An edge orders steps; it does not supply a condition, an approval gate or a field mapping. Add and test those controls explicitly before any write. Cloud APIs and model providers may receive data. Keep the workflow inactive until tested with fixtures.

{
  "id": "69b006c8-d533-47f8-a5d8-04c015912f50",
  "name": "Linear → Telegram",
  "nodes": [
    {
      "id": "9a39e10a-f41e-42c6-a6e3-35344c8ef43c",
      "text": "Run on a schedule",
      "x": 512,
      "y": 144,
      "isEditing": false,
      "type": "trigger-timer",
      "icon": "connect",
      "category": "trigger",
      "isSelected": false,
      "parameters": {
        "fireOnStart": "No",
        "scheduleType": "Interval",
        "schedule": "Every 15 Minutes"
      },
      "description": "Setup template for Timer Trigger. This trigger node fires the workflow at specified intervals or at a specific time. Configure credentials, inputs and output mapping before use.",
      "error": null,
      "isActive": false,
      "output": null,
      "outputs": {}
    },
    {
      "id": "23dbf00c-23b5-4f8c-a1c7-a0181dad55d4",
      "text": "Review source and draft",
      "x": 512,
      "y": 336,
      "isEditing": false,
      "type": "agnt-agent",
      "icon": "connect",
      "category": "action",
      "isSelected": false,
      "parameters": {
        "agentId": "CONFIGURE_AGENTID",
        "message": "Read the Linear item. Decide whether it warrants action in Telegram, and explain why.\nSource input: CONFIGURE_SOURCE_INPUT. Produce a reviewable draft only; do not take external actions."
      },
      "description": "Setup template for Agent Chat. Chat with an AI agent from your agent library. Select an agent and send messages to interact with it within your workflow. Configure credentials, inputs and output mapping before use.",
      "error": null,
      "isActive": false,
      "output": null,
      "outputs": {}
    },
    {
      "id": "ce0aaf84-371e-4b03-a969-6e439a39a2ee",
      "text": "Configure destination in Telegram",
      "x": 512,
      "y": 528,
      "isEditing": false,
      "type": "telegram-api",
      "icon": "connect",
      "category": "action",
      "isSelected": false,
      "parameters": {
        "action": "GET_ME",
        "botToken": "CONFIGURE_BOTTOKEN",
        "apiBaseUrl": "CONFIGURE_APIBASEURL",
        "includeRaw": false
      },
      "description": "Setup template for Telegram API. Use Telegram Bot API from a single AGNT node. Choose an action to validate a bot, send messages/media, edit/delete messages, download files, or call any raw Bot API method. Configure credentials, inputs and output mapping before use.",
      "error": null,
      "isActive": false,
      "output": null,
      "outputs": {}
    }
  ],
  "edges": [
    {
      "id": "c8b7d51b-6883-4996-a4cd-4fefb0dd4b28",
      "start": {
        "id": "9a39e10a-f41e-42c6-a6e3-35344c8ef43c",
        "type": "output"
      },
      "end": {
        "id": "23dbf00c-23b5-4f8c-a1c7-a0181dad55d4",
        "type": "input"
      },
      "startX": 800,
      "startY": 168,
      "endX": 512,
      "endY": 360
    },
    {
      "id": "34526b99-c093-4881-ab19-48d22bd6e9ae",
      "start": {
        "id": "23dbf00c-23b5-4f8c-a1c7-a0181dad55d4",
        "type": "output"
      },
      "end": {
        "id": "ce0aaf84-371e-4b03-a969-6e439a39a2ee",
        "type": "input"
      },
      "startX": 800,
      "startY": 360,
      "endX": 512,
      "endY": 552
    }
  ],
  "zoomLevel": 1,
  "canvasOffsetX": 0,
  "canvasOffsetY": 0,
  "isTinyNodeMode": false
}

Configure Telegram API

Use Telegram Bot API from a single AGNT node. Choose an action to validate a bot, send messages/media, edit/delete messages, download files, or call any raw Bot API method.

  • action — Telegram operation to perform. Current example: GET_ME.
  • botToken — Optional fallback Telegram bot token from @BotFather. If omitted, AGNT uses the connected Telegram provider token from Settings → Connections. Current example: CONFIGURE_BOTTOKEN.
  • apiBaseUrl — Optional Bot API base URL. Use https://api.telegram.org by default, or a local Bot API server URL. Current example: CONFIGURE_APIBASEURL.
  • includeRaw — Include the full raw Telegram API response when available. Current example: false.

Install Meeting Follow-Through

Meeting Follow-Through is a working agent built around Linear. Install it, point its last step at Telegram, and you have this hand-off without building it from an empty canvas.

Runs on your own machine · See what it does

Wiring Linear to Telegram

  1. Get AGNT Community Core. Free, local, no sign-up needed to run a workflow.
  2. Add both connections to the vault — Linear takes an API key pasted into the vault, Telegram takes an API key pasted into the vault.
  3. Configure the nodes above, or start from a marketplace workflow and edit it. The agent in the middle is the part worth spending time on.
  4. Run it once with an approval gate in place. The receipt tells you what it read, what it concluded, and what it changed in Telegram.

Linear and Telegram — common questions

Can I connect Linear to Telegram without writing code?

Yes. Linear connects with an API key pasted into the vault and Telegram with an API key pasted into the vault, both from the local credential vault. You then describe the job in plain language — “when an issue is created, send messages and alerts” — and the agent handles the rest.

How is this different from a field-mapping Linear to Telegram automation?

A field mapping copies values and breaks on the first record nobody anticipated. The middle step here reads the Linear item in full and decides — whether it matters, how to summarise it, and what belongs in Telegram. Deciding to do nothing is a valid outcome, which no mapping can express.

Does my Linear and Telegram data leave my machine?

AGNT Community Core is local-first, so there is no vendor middleman holding your Linear or Telegram tokens. The runtime talks directly to both services. Choose a local model and the content of what it reads never leaves the machine at all.

What does a Linear and Telegram run leave behind?

A receipt: what was read in Linear, which tools ran with which arguments, what the agent concluded, and what it wrote to Telegram. Anything consequential can sit behind an approval gate so a person signs off before it happens.

Give AI a job. Get the proof.