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Built for people shipping with AI.

What is Runbear?

No-code AI agent platform that automates Slack inbox tasks and connects to 2,000+ business tools.

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Automation Tools
Business Tools
Productivity Tools
AI Agents
Customer Support
AI Chatbots
No Code/Low Code

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Pricing

Payment required (Free tier available)

Overview

Runbear is a no-code AI agent platform that brings custom AI teammates into Slack, Microsoft Teams, and HubSpot. It connects to over 2,000 tools like Notion, Zendesk, HubSpot, Google Drive, and Jira to pull context and answer questions inside the chat apps your team already uses. Ops, customer success, HR, and RevOps teams can build agents in about 10 minutes, sync knowledge bases automatically, and automate repetitive Q&A, ticket triage, and onboarding workflows without writing code.

Key Features

  • No-Code Agent Builder: Build AI agents by chatting with an AI-assisted editor. Refine instructions and context without touching code.
  • Chat Platform Integration: Deploy agents directly inside Slack, Microsoft Teams, and HubSpot with a 10-minute setup and no separate app to install.
  • 2,000+ Tool Integrations: Connect agents to Notion, Google Drive, Confluence, Zendesk, Jira, HubSpot, Stripe, and Zapier through MCP servers.
  • Automatic Knowledge Sync: Keep agents up to date by auto-syncing docs from Notion, Google Drive, and Confluence as content changes.
  • Multi-Model Support: Pick the right model per task from Anthropic, OpenAI, or Gemini, with automatic model selection based on task complexity.
  • Message Insights & Analytics: Group similar user questions to spot recurring themes and add context so agents respond more accurately over time.
  • Scheduled Jobs: Set recurring tasks like Monday HR summaries or daily lead reports rendered as charts inside your team channel.
  • Enterprise Security: SOC2-compliant with per-user authorization so agents respect existing permissions across connected tools.

Pros

  • Fast Setup: Users consistently report getting agents live in Slack in under 10 minutes without engineering help.
  • Usage-Based Pricing: Credits track actual AI work instead of charging per seat, which suits growing teams.
  • Wide Integration Coverage: Connect agents to 2,000+ tools, including popular platforms used for CRM, project management, documents, and team communication.
  • Less Repetitive Work: Agents can answer recurring questions, search company knowledge, retrieve live data, and handle multi-step tasks without requiring employees to switch between apps.
  • Bring Your Own Key: Business and Enterprise plans let you plug in Anthropic or OpenAI keys and pay providers directly.
  • Responsive to Feedback: The team has revised pricing and features based on customer input from their public feedback board.

Cons

  • Advanced Customization Needs Devs: While core building is no-code, custom API integrations or Python scripts still require technical skills.
  • AI Accuracy Varies: Output quality depends on model choice and configuration, so important responses should be reviewed before use.
  • Credit Usage Can Grow Quickly: Complex research and multi-step tasks can use hundreds or even 1,500 credits, making heavy workloads more expensive.

Use Cases

  • Customer Support Automation: A support agent reads your docs and past Zendesk tickets, drafts responses in Slack threads, and tags a human teammate when confidence is low. Frees support reps from repetitive lookups.
  • New Hire Onboarding: An HR agent greets new joiners in Slack on day one, answers policy and benefits questions in your team's voice, and points them to the right documents without pinging HR.
  • Sales & CRM Updates: RevOps teams use agents to draft HubSpot CRM updates, pull account history when churn-risk terms appear in channels, and route escalations to the right owner.
  • Internal Policy Q&A: Let employees ask HR, IT, or Finance questions in Slack and get answers from company policies, documents, and connected systems.
  • Email Triage: An agent reads Gmail or Outlook inboxes, categorizes messages by urgency, summarizes content, and routes each one to the right person in Slack.
  • Scheduled Reports: Leadership sets up recurring summaries like Monday hiring reports or daily competitor pricing pulled from web data, delivered as charts in team channels.

Frequently Asked Questions

What platforms does Runbear work with?

Runbear works with Slack, Microsoft Teams, Discord, HubSpot, Zendesk, and other work platforms. Its agents can also connect to external tools and data sources through integrations and MCP servers.

Do I need to know how to code?

No. You can build and refine agents by chatting with Runbear's AI-assisted builder. Advanced customization like custom API integrations or Python scripts may still need developer input.

How much does Runbear cost?

Runbear offers a Team plan at $99/month with 20,000 credits, a Business plan at $399/month with 100,000 credits, and an Enterprise plan with custom pricing.

How does the credit system work?

Runbear charges credits based on AI usage. Simple knowledge-base questions typically use fewer credits, while multi-step tasks with several tool calls use more. Model choice and reasoning effort also affect usage.

Can I use my own AI provider keys?

Yes. Business includes Bring Your Own LLM Key support, allowing organizations to connect their own model provider keys.

Which AI models does Runbear support?

Runbear supports models from Anthropic, OpenAI, and Google Gemini. You can choose the model for an agent based on the type of work it needs to handle.

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