Using one assistant across all chat apps

You can use one OpenClaw instance as a single assistant across Slack, WhatsApp, Telegram, and other chat apps in the US. Same memory and skills everywhere; you choose where to talk from. This post covers setup, identity, and how to measure usage with SingleAnalytics.

Many US users and teams want one AI assistant that works everywhere they chat. Slack for work, WhatsApp for quick personal asks, Telegram for a side project. OpenClaw can be that single assistant: one agent, one memory, multiple channel connectors. This post explains how to use one assistant across all your chat apps.

Benefits of one assistant everywhere

• No context loss – You asked for a calendar check in Slack this morning; you follow up in WhatsApp in the afternoon. The agent already has the context. US teams that adopt this report less repetition and faster task completion.
• One place to improve – Tune persona, skills, and memory once; all channels benefit. SingleAnalytics gives you one view of usage across channels so you can improve the single assistant.
• User choice – Each person uses the channel they prefer (Slack at desk, WhatsApp on the go). The assistant doesn’t care which app; it responds the same way.
• Unified proactive – Morning brief or reminders can be sent to the channel or user preference (e.g., "notify me in Slack on weekdays, WhatsApp on weekends"). One agent, one proactive engine, multiple outputs.

What you need

• OpenClaw running with multiple channel connectors enabled (Slack, WhatsApp, Telegram, etc.). Each connector is configured with the right tokens and endpoints.
• Identity mapping – A way to know that "Alice in Slack" and "Alice in WhatsApp" are the same person. Without this, the agent may treat them as two users and not share memory. US teams often use email or a directory ID as the canonical user.
• Skills and memory – Same skills and memory store for all channels. No per-channel skill toggles unless you explicitly want them (e.g., "no email from WhatsApp").

Connecting each chat app

• Slack – Create a Slack app, get Bot token, enable Events or Socket Mode. In OpenClaw config, add Slack with token and (optional) allowed channels. The project’s Slack docs describe the exact steps. US workspaces typically use one app per OpenClaw instance.
• WhatsApp – Use the OpenClaw WhatsApp bridge or Business API. Configure phone number and webhook. Messages to that number are forwarded to OpenClaw; replies go back to WhatsApp. In the US, Business API may have approval and cost implications; check current policies.
• Telegram – Create a bot with BotFather, get token. Add token to OpenClaw; the bot receives messages and sends replies. Simple and free for US users.
• Others – Discord, Microsoft Teams, or custom webhooks follow the same idea: a connector receives messages, tags them with channel and user, sends to OpenClaw, and posts the reply. Add one connector per app.

Run all connectors against the same OpenClaw instance and the same config so one brain serves all channels.

Identity across channels

To get "one user, many channels," you need a stable user ID:

• Option A – Email – When a user first messages from any channel, the agent asks "What’s your email?" (or you pre-register Slack/Telegram/WhatsApp IDs to emails). Use email as the canonical ID in memory and context. All channels for that email share one context. US teams with a directory can sync email from SSO or HR.
• Option B – Link codes – Generate a one-time "link" code per user. User sends the code from each channel; the backend maps that code to one user ID and attaches it to all future messages from those channels. Good for US users who don’t want to share email with the bot.
• Option C – Channel-specific user IDs – If you can’t link, the agent can still work per channel, but memory won’t be shared across Slack vs. WhatsApp. Acceptable for "same assistant, different contexts" (e.g., work Slack vs. personal Telegram as different "users").

Document how you map identity and expose it in your internal docs so US team members know how to get a unified experience.

Proactive and notifications

One assistant can send proactive messages to different channels:

• User preference – Store in memory: "Send my morning brief to Slack on weekdays and WhatsApp on weekends." The heartbeat or proactive logic reads preference and posts to the right channel.
• Fallback – If the user has multiple channels, define a default (e.g., Slack) and use others only if the user says "from now on, send reminders to Telegram." US teams often start with one default channel and add preferences over time.
• Consistency – Same brief content everywhere; only the destination channel changes. SingleAnalytics can track which channel gets the most engagement for proactive messages so you can tune defaults.

Measuring usage

• Per channel – Which app is used most (Slack vs. WhatsApp vs. Telegram)? Helps US teams know where to optimize UX and where to promote the assistant.
• Per user – Are linked users using more than one channel? That confirms identity mapping and cross-channel value.
• Per task – Which commands or automations are used regardless of channel? SingleAnalytics helps you see this so you can improve one assistant for everyone.

Summary

Using one OpenClaw assistant across all chat apps in the US means connecting Slack, WhatsApp, Telegram (and others) to the same instance, mapping identity so one user is recognized everywhere, and optionally routing proactive messages by preference. One memory, one set of skills, one place to improve: measured with SingleAnalytics across channels.