Setting Up OpenClaw AI Agent in Slack Step by Step

What You're About to Build

By the end of this guide, you'll have a fully operational OpenClaw AI agent living inside your Slack workspace. It will remember context across conversations, connect to your existing tools — GitHub, Linear, Jira, Notion, Gmail, and hundreds more — and act autonomously on your behalf without requiring you to leave Slack. If you've been watching AI agents from the sidelines, this is the practical on-ramp.

SlackClaw handles the infrastructure so you don't have to. Your team gets a dedicated server running OpenClaw, isolated from other workspaces, with persistent memory baked in from day one. Let's walk through the setup end to end.

Step 1: Install SlackClaw to Your Workspace

Start at the SlackClaw dashboard and click Add to Slack. You'll go through Slack's standard OAuth flow, which asks for the permissions SlackClaw needs — reading and posting in channels, accessing direct messages, and managing app home tabs. These are required for the agent to function as a first-class Slack citizen rather than a bolted-on chatbot.

Once authorized, Slack redirects you back to the SlackClaw dashboard. At this point, your dedicated OpenClaw server is already being provisioned in the background. This typically takes under two minutes.

Inviting the Agent to Channels

By default, the OpenClaw agent is only accessible via its App Home tab and direct messages. To bring it into a specific channel, type the following in that channel:

/invite @OpenClaw

You can invite it to as many channels as you need — project channels, incident channels, team-wide general channels. The agent maintains separate context threads per channel, but its persistent memory means it carries learned knowledge about your organization, preferences, and workflows across all of them.

Step 2: Connect Your First Integrations

This is where SlackClaw separates itself from generic AI assistants. The platform connects to 800+ tools via one-click OAuth, which means no API key hunting, no YAML config files, and no developer required for most integrations.

From the SlackClaw dashboard, navigate to the Integrations tab. You'll see a searchable catalog. Start with the tools your team uses every day. Here's a recommended order for most software teams: Learn more about our integrations directory.

1. GitHub — lets the agent read PRs, create issues, check CI status, and summarize changelogs
2. Linear or Jira — gives the agent awareness of your sprint, backlog, and issue states
3. Notion — connects your team's documentation so the agent can reference and update it
4. Gmail or Google Workspace — enables the agent to draft, send, and summarize emails on request
5. Google Calendar — allows scheduling, conflict detection, and meeting prep summaries

Click Connect next to any tool, authorize via OAuth in the popup window, and you're done. The agent immediately gains the ability to use that tool autonomously when it determines it's relevant — no additional configuration needed. Learn more about our pricing page.

Verifying an Integration is Working

After connecting GitHub, for example, send the agent a quick test message in Slack:

@OpenClaw list the open PRs in our main repo that haven't had activity in 3 days

If the agent returns a formatted list with PR titles, authors, and links, the integration is live. If it asks for clarification on which repository, that's normal — tell it your default org and repo name, and it will remember that preference going forward.

Step 3: Configure Persistent Memory

OpenClaw's persistent memory is one of its most powerful features and the one most teams underutilize in the first week. Unlike a standard ChatGPT session, the agent running through SlackClaw retains information indefinitely across sessions, channels, and even across different team members' conversations (with appropriate access settings).

You can explicitly teach the agent things about your organization using natural language:

@OpenClaw remember that our sprint planning happens every other Monday at 10am, 
and that @sarah owns all frontend work, @marcus owns the data pipeline

The agent will confirm the memory and apply it to future decisions. Over time, this builds a genuine organizational context layer — the agent learns your naming conventions, your team structure, your preferred communication style, and your recurring workflows.

Memory Scopes

SlackClaw exposes three memory scopes you can manage from the dashboard:

• Global — available to the agent in all channels and conversations
• Channel — context specific to a single channel, useful for project-specific norms
• User — personal preferences tied to individual Slack users

You can view, edit, and delete memory entries at any time from the Memory tab in the dashboard. This gives your team full transparency and control without needing to touch any code.

Step 4: Write Your First Custom Skill

Out of the box, OpenClaw handles a wide range of tasks using its built-in reasoning and your connected integrations. But custom skills let you encode your organization's specific processes as reusable, triggerable workflows.

A skill is defined in the SlackClaw dashboard under Skills → New Skill. Here's a simple example: a daily standup summarizer that pulls from Linear and posts a digest to your team channel.

Skill name: Daily Standup Digest
Trigger: Scheduled — weekdays at 9:00 AM
Instructions:
  1. Fetch all Linear issues assigned to active team members that are In Progress or blocked
  2. Group by assignee
  3. Format as a standup-style summary: what each person is working on, any blockers
  4. Post the summary to #standup with a friendly intro line
  5. Tag anyone with a blocked issue directly

Once saved, the skill runs automatically on schedule. You can also trigger any skill manually by name in Slack: For related insights, see Get Your Team to Actually Use OpenClaw in Slack.

@OpenClaw run Daily Standup Digest

Skills for Engineering Teams

Some high-value skills engineering teams implement in their first week:

• PR Review Reminder — scans GitHub daily and pings PR authors whose reviews have been pending more than 24 hours
• Incident Briefing — when triggered in an incident channel, pulls recent deploys from GitHub, checks error rates, and posts a structured summary
• Release Notes Drafter — compiles merged PRs since the last tag and drafts human-readable release notes in Notion
• Onboarding Assistant — when a new member joins a channel, the agent DMs them a personalized intro based on channel context and team memory

Step 5: Understand Credit-Based Pricing

SlackClaw runs on a credit-based model with no per-seat fees, which changes the economics of AI tooling significantly for growing teams. You're not penalized for adding more people to your workspace — you pay for what the agent actually does.

Credits are consumed based on task complexity. A simple lookup (checking a Linear ticket status) uses a fraction of a credit. A complex autonomous task (researching a topic, cross-referencing Notion docs, drafting a document, and posting a summary) uses more. Most teams find that a mid-tier credit plan covers hundreds of meaningful agent interactions per month.

Practical tip: Use the Usage tab in the dashboard to see which skills and ad-hoc tasks are consuming the most credits. This helps you optimize — sometimes a slightly more specific prompt or a well-designed skill can accomplish the same outcome at a fraction of the cost.

Getting Your Team to Actually Use It

The best-configured agent is useless if your team defaults to old habits. The fastest adoption path we've seen: pick one painful, recurring task — a weekly report, a release checklist, an on-call handoff summary — and automate it completely using a custom skill in the first week. When teammates see something they dreaded disappear from their workload, curiosity about what else the agent can do follows naturally. For related insights, see Best AI Agents for Slack in 2026: OpenClaw Leading the Pack.

Encourage team members to talk to the agent conversationally, not like a search engine. Prompts like "what's blocking the Q3 launch based on our Linear board?" or "draft an update email to stakeholders about this week's progress" unlock the agent's reasoning capabilities in ways that keyword-style queries don't.

Your OpenClaw agent gets meaningfully better at serving your team with every interaction that adds to its memory. The setup you do today compounds — so starting clean with good habits, clear memory entries, and a few well-designed skills puts you well ahead of teams who treat AI agents as a novelty rather than a workflow layer.