
Slackbot
Beyond basic messaging, your AI agent manages channels, schedules messages, creates reminders, handles files, searches conversations, and updates user profiles across your entire Slack workspace. Over 100 actions turn your Tars agent into the most capable Slack automation you have ever deployed.




With 116 API actions covering messaging, channels, files, reminders, user groups, and more, your agent has complete Slack workspace control.
Slackbot
From channel creation to file management, see how AI agents automate complex Slack workflows that previously required manual effort.
A new client onboards and needs a dedicated Slack channel. Your AI Agent creates the channel with a standardized name, sets the topic with the client's key details, invites the project team, and pins an introductory message. When the project wraps up three months later, the agent archives the channel. Zero manual channel administration throughout the project lifecycle.
A returning customer references a conversation your team had about their account last month. Your AI Agent searches across Slack messages for the customer's name and account ID, finds the relevant thread in #customer-success, retrieves the full discussion, and summarizes the context. The support agent has complete history without asking the customer to repeat themselves.
After a customer conversation, a follow-up is needed in 48 hours. Your AI Agent creates a Slack reminder for the assigned account manager with the customer's name, issue summary, and recommended next steps. Two days later, the reminder fires. The account manager has full context. No follow-ups fall through the cracks, no sticky notes get lost.

Slackbot
FAQs
The Slack integration provides core messaging features with 12 actions focused on posting messages, reading history, and managing reactions. Slackbot offers 116 actions covering the full Slack API including channel management, file handling, reminders, user groups, search, scheduling, canvases, and DND controls. Choose Slackbot for comprehensive workspace automation.
Yes. The agent can create channels, set their topic and purpose, invite members, and archive them when no longer needed. It can also rename channels and manage conversation preferences. This enables automated project channel lifecycles tied to customer workflows.
Slackbot requests channels:history, chat:write, team:read, channels:read, users:read, and reactions:read scopes. Additional scopes may be requested based on which actions you enable, such as files:write for file uploads or reminders:write for reminder creation.
Yes. The agent uses Slack's search.messages and search.all endpoints to find messages matching a query string across your workspace. Results include the channel, message text, author, and timestamp. This is powerful for retrieving historical context about customers or projects.
No. All Slack operations are performed live through the API during conversations. Message content, file data, channel information, and user profiles are queried in real time and not persisted by Tars. Your workspace data stays within Slack's infrastructure.
Yes. The agent uses Slack's schedule_message endpoint to post messages at a specified future time. It can also list and delete scheduled messages. This is useful for time-zone-aware customer follow-ups or timed announcements.
The agent can create user groups, update their membership, enable or disable them, and list all members. This automates team rotation workflows where notification groups need to reflect current on-call or project team assignments.
Yes. The Slackbot integration includes canvas actions to create, edit, delete, and read Slack Canvas documents. The agent can look up canvas sections and modify content. This enables automated documentation workflows where customer interaction summaries are written to shared canvases.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

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