OpenClaw gives you an open-source agent to host and wire up yourself. Runbear gives your team managed agents in Slack with 2,000+ integrations, per-user tool auth, and SOC 2 Type II, set up in about 10 minutes.
Runbear
Runbear is a managed platform for AI agents in Slack and Microsoft Teams. We host the agents, maintain the integrations, and hold the SOC 2 Type II report, so your team can use AI now instead of building a platform first.
OpenClaw
OpenClaw is an open-source agent framework you self-host. You write the code, host the runtime, wire up integrations one at a time, and own ongoing maintenance, security, and upgrades.
Both can run AI agents for your team. The question is whether you want to ship a product to your team next week, or build a platform team that ships it next year.
| Feature | Runbear | OpenClaw |
|---|---|---|
| What it is | Managed Slack-native AI teammate, fully hosted | Open-source agent framework you self-host |
| Deployment | SaaS — install the Slack app and start using it | Self-hosted — provision infrastructure, deploy, maintain |
| Integrations | 2,000+ pre-built via Pipedream, MCP, native OAuth | Each integration is code you write or a plugin you adopt |
| What you get back | Finished tickets, drafts, reports, replies inside Slack | Whatever you build — depends on your engineering investment |
| Pricing | Usage credits, not per seat | Free runtime + your hosting, engineering, and ops costs |
| Knowledge and memory | Knowledge sources synced and indexed for each agent, plus agent memory | Memory and retrieval you configure and host yourself |
| Triggers | Schedules, one-time runs, webhooks, and events in connected apps | Scheduled jobs you configure in your own deployment |
| Team features | Named agents (@HR, @Platform) with Per-User or Shared tool auth | Single-tenant by default; team features are your work to add |
| Credential security | Managed OAuth connections, set to Per-User or Shared for each tool | API keys live in env files on your hosts — your team rotates them |
| Compliance | SOC 2 Type II; SAML SSO and an audit log on Business and Enterprise | You're the platform — compliance posture is yours to certify |
| Setup time | About 10 minutes: install the Slack app, connect a knowledge source | Days to weeks per integration, plus ongoing maintenance |
Open-source agent frameworks are great if you have a platform team and runway. If you just want your team using AI this week, the math changes.
Install the Slack app. Connect a knowledge source. Mention the agent. Real work happens in the first hour, and platform updates arrive without your team shipping a line of code.
Stand up the runtime. Wire in your first three tools by hand. Create the Slack app and its tokens. Add a vector store. Add auth. Add logging. By the time it works, the frontier has moved.
How an AI agent authenticates to your tools is a security decision, not just a UX choice. Per-user auth means each request runs as the person who triggered it.
Set a tool to Per-User and each person connects their own HubSpot, Salesforce, or Notion account, so the agent reaches only what that person's account allows. Shared tools use one account for everyone, so you grant them deliberately.
Most DIY setups use a single service-account API key per tool. Anyone who can trigger the agent can access anything that key can see, regardless of their own permissions in the source tool.
Every integration you self-host is a small ongoing tax. Multiply by the number of tools, models, and APIs that change every quarter.
We provide managed connections to 2,000+ tools and host the runtime the agents run on. Your team gets the updates without deploying anything.
Every Notion API change, Slack scope shift, model deprecation, or library CVE is your team's afternoon. Multiply by the number of integrations you've wired in.
10-minute setup. Bring a real workflow and we'll wire it live on a demo call.
Want a walkthrough first? Book 20 minutes with our CEO