Key takeaways
- Integration bridge: connects OpenAI Agents, Claude to Slack, Teams, HubSpot
- Inbox Agent: prepares every incoming request with context
- Teammate Agent: answers repeat questions across team
- 2,000+ tool connections for context and action
FAQ
What is Runbear?
A platform that connects LLM apps like OpenAI Agents and Claude to Slack, Teams, and HubSpot for seamless team integration.
How much does Runbear cost?
Freemium model with paid tiers for teams. Enterprise features include SSO and RBAC.
Who competes with Runbear?
Viktor (Slack-native agent), Lobu (multi-tenant OpenClaw), and direct LLM integrations.
Executive Summary
Runbear is an integration platform that connects LLM apps (OpenAI Agents, Claude) to team communication tools (Slack, Teams, HubSpot). Rather than building AI agents from scratch, Runbear bridges existing AI capabilities to where teams already work — reading incoming requests, preparing context, and routing decisions.
| Attribute | Value |
|---|---|
| Company | Runbear |
| Focus | LLM-to-team integration |
| Users | 300K+ professionals |
| Integrations | 2,000+ tools |
| Channels | Slack, Teams, HubSpot, Email |
Product Overview
Runbear positions itself as "your best new hire, but AI." It handles the first pass on incoming requests — reading context from connected tools, preparing decisions, and packaging clean handoffs to humans.
Key Capabilities
| Capability | Description |
|---|---|
| Inbox Agent | Prepares every incoming request with context |
| Teammate Agent | Answers repeat questions across team |
| Tool Connections | 2,000+ integrations for context and action |
| Image Recognition | Processes images in Slack conversations |
| Custom GPTs | Connect your own GPTs to Slack in 5 minutes |
Target Teams
- Support Ops
- CX Ops
- Data Ops
- Sales Ops
- Healthcare Ops
- Revenue Ops
Strengths
- No-code setup — Connect LLMs to Slack/Teams in minutes, not weeks
- Broad integrations — 2,000+ tools for rich context
- Decision prep — AI reads, prepares, humans decide and act
- Enterprise ready — SSO, RBAC, security features
- Proven scale — 300K+ users in production
Cautions
- Integration focus — Not a full agent platform; connects existing LLMs
- Limited autonomy — Designed for human-in-the-loop, not autonomous execution
- Slack/Teams dependent — Value tied to team chat usage
- Competitive space — Many LLM-to-Slack solutions emerging
Competitive Positioning
| Competitor | Differentiation |
|---|---|
| Viktor | Runbear connects any LLM; Viktor is its own agent |
| Lobu | Runbear is no-code; Lobu requires infrastructure |
| Native integrations | Runbear adds context from 2,000+ tools |
Bottom Line
Runbear solves a specific problem: getting your existing LLM apps into Slack and Teams without building custom integrations. It's not trying to be an autonomous agent platform — it's a bridge that makes AI accessible where teams already work. The 2,000+ tool connections provide context that raw LLM integrations lack.
Recommended for: Ops teams wanting to deploy existing LLMs to Slack/Teams quickly
Not recommended for: Teams wanting fully autonomous agents or those not using Slack/Teams
Research by Ry Walker Research • methodology