Event-driven automation architecture

Event-driven automation means OpenClaw (or similar agents) reacts to things that happen: new email, new Slack message, file created, instead of only running when you send a chat command. For US users, that enables "when X happens, do Y" workflows. This post covers how to think about the architecture, what events to hook into, and how to measure that event-driven flows run and succeed with a platform like SingleAnalytics."

If you're in the US and want OpenClaw to do things automatically when something happens (e.g., "when I get an email from the boss, summarize it and add a task"), you're moving from command-driven to event-driven automation. The agent still runs tasks and uses skills; the trigger is an event, not a user message. This guide explains how that architecture works, what you can hook into, and how to keep it observable so you can improve and scale.

Command-driven vs event-driven

• Command-driven: You (or a cron) send a message or trigger. "Summarize my email." "Run the backup at 2 AM." The agent runs once per trigger.
• Event-driven: Something in the world happens (new email, new file, webhook from another app), and that event is passed to OpenClaw. The agent runs in response (e.g., "new email from X → run triage skill and notify me." No one had to ask; the event was the trigger.

Both can coexist. Many US users start with commands and add a few event-driven flows (e.g., "when email from support, create a task") once the agent is stable. Event-driven is what makes the agent feel "always on" and proactive.

What can be an event source

• Email: new message, new thread, message matching a filter (sender, label, subject). Delivered via polling or push (e.g., Gmail push notifications, webhook from an email automation tool).
• Chat: new message in a channel or DM (Slack, Telegram, etc.). The channel’s API or webhook fires; your middleware turns it into an event and invokes OpenClaw.
• Files: file created, updated, or deleted in a folder (e.g., Dropbox, Google Drive, or a watched directory). Use provider webhooks or a file watcher.
• Calendar: event created, updated, cancelled, or reminder fired. Calendar APIs and webhooks can emit these.
• APIs and webhooks: any external system that can send HTTP to your server (e.g., "form submitted," "payment received," "alert fired"). Your endpoint receives the webhook, normalizes it, and triggers the agent.
• Internal events: "task completed," "skill X finished." You can chain flows: when one agent or skill finishes, it emits an event that triggers another.

For US teams, the key is to have a single place where events are received, optionally filtered, and then passed to OpenClaw with context (e.g., event type, payload summary, user_id). That way you can add new event sources without changing the agent core.

Architecture building blocks

1. Event sources: email provider, chat API, file storage, calendar, or custom webhooks. They generate events (push or pull).
2. Event gateway or queue: one endpoint or queue that receives events. It may validate, filter (e.g., "only emails from X"), and enrich (e.g., resolve user_id from email address). Output: a normalized event (type, payload, user_id, timestamp).
3. Trigger layer: maps event type to an OpenClaw task. E.g., "email_received" → run triage_inbox skill with payload. Could be a small config or code: event_type → skill name + args.
4. OpenClaw: runs the task (same as when the user had sent a command). Returns result; you may use that to send a reply, update a ticket, or emit another event.
5. Observability: every event received and every task run should emit metrics/events (e.g., event_received, task_triggered, task_completed, task_failed). Send these to your analytics platform so you can see volume, success rate, and latency. SingleAnalytics supports custom events so US teams can track event-driven flows alongside product and agent usage in one place.

Design tips for US users

• Idempotency. The same event might be delivered twice (at-least-once delivery). Have the agent or skill detect "already processed" (e.g., by event_id) and skip or no-op so you don’t double-send or double-create.
• Timeouts and retries. If the agent or an external API is slow, set timeouts and retry with backoff. Emit event_processing_failed so you can alert and fix.
• Scoping by user. Each event should be tied to a user_id (or team_id) so the agent uses the right calendar, email, and memory. Prevents one user’s event from triggering another user’s workflow.
• Rate limits. High-volume event sources (e.g., every email) can overwhelm the agent or APIs. Filter (only certain senders or labels) or throttle (process at most N per minute) so event-driven stays under control.
• Measure end-to-end. Track: event_received → task_started → task_completed. That gives you success rate and latency per event type. When this lives in one analytics stack like SingleAnalytics, you can see which event-driven workflows are reliable and which need tuning.

Choosing event sources for US teams

• Email: High value for "when I get mail from X, do Y." Use Gmail push or polling; filter by sender or label to avoid processing every message. Emit event_received and task_completed so you see volume and success. SingleAnalytics supports custom events for that.
• Chat (Slack, Telegram): New message in a channel or DM can trigger a workflow (e.g., "when someone posts in #support, summarize and create a ticket"). Webhooks from the chat provider hit your gateway; you map to an OpenClaw task with channel and user context.
• Webhooks from other tools: Forms, payments, CRMs, and monitoring tools can send HTTP to your gateway. Normalize payload to a standard event shape and invoke the agent. Great for "when a lead is created, enrich and notify the team."

Start with one event source; add more once the pipeline is stable and observable. US teams that keep all event and task data in one analytics platform can compare event-driven vs command-driven usage and success over time.

Summary

Event-driven automation with OpenClaw in the US means the agent reacts to events (email, chat, file, calendar, webhooks) instead of only to explicit commands. Build an event gateway that receives and normalizes events, map event types to tasks, and run OpenClaw with the right context. Choose event sources that match your workflow (email, chat, webhooks) and design for idempotency, timeouts, and user scoping; emit events so you can measure volume and success. SingleAnalytics gives you one place to track event-driven flows with the rest of your product and agent data, so you can scale with confidence.