Cursor Automations: Cloud Agents for Code Reviews, CI/CD, and Incident Response

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Cursor Automations run cloud agents in the background, triggered either on a schedule or via events from GitHub, GitLab, Bitbucket Cloud, Slack, Linear, Sentry, and PagerDuty.

Key points

  1. Executes as cloud agents on recurring cron schedules or triggered by webhooks and external platforms (GitHub, GitLab, Bitbucket, Slack, Linear, Sentry, PagerDuty).
  2. Configurable via the Agents Window, the web interface, Cursor Marketplace templates, or the natural-language `/automate` command.
  3. Features three built-in Cursor-managed agents: Bugbot for PR reviews, Security Agents for vulnerability scanning, and PR Routing & Approval.
  4. Agent toolset includes opening PRs, inline code commenting and review approvals, Slack channel interaction, MCP (Model Context Protocol) servers, and Computer Use for browser actions and screen recordings.
  5. Includes a persistent memory feature (`MEMORIES.md`) allowing agents to retain notes and improve across successive runs.
  6. Billed on cloud agent usage using the model's maximum context window; pull requests from forks are blocked for security reasons (except PR merged triggers).

Why it matters

Engineering teams can delegate routine development and operational workflows—such as triaging Sentry errors, handling PagerDuty incidents, or reviewing pull requests—to automated cloud agents that can interact directly with repositories and external tools.

Analysis

With Automations, Cursor shifts from a localized coding assistant to an automated background workflow engine. Combining MCP server integrations, persistent memory files, and Computer Use allows agents to investigate failures, produce visual proof of work, and maintain context across runs, while restricting fork-based executions to mitigate untrusted code risks.

Found in

Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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