Runbear
FreemiumAI agents in Slack & Teams that act before you ask.
By Tanmay Verma, Founder · Last verified 06 Jul 2026
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Added 6d ago
77/100Safe BetIn short
Runbear — AI agents in Slack & Teams that act before you ask. Best for SalesOps teams needing instant deal context and deck generation, RevOps teams monitoring usage and renewal risks, Customer support teams drafting replies from knowledge base. Free to start; paid plans from $79/mo.
Is Runbear actually worth it?
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Editorial Verdict
Best for
SalesOps teams needing instant deal context and deck generationRevOps teams monitoring usage and renewal risksCustomer support teams drafting replies from knowledge baseHR teams automating employee onboarding and policy Q&AMarketing teams monitoring brand mentions and drafting responses
Not ideal for
Teams that require full offline or on-premise deploymentUsers seeking a traditional chatbot without proactive automationOrganizations needing deep customization of AI model trainingLow-volume teams that cannot justify a subscription cost
Runbear delivers on its promise of 'AI teammates that show up' by deeply embedding into existing chat workflows with minimal setup. Its proactive, context-aware approach reduces response times dramatically, though heavy users may need to manage credit consumption carefully.
Compare with: Runbear vs Pylon AI, Runbear vs Plain, Runbear vs Voiceflow
Last verified: July 2026
What's new in Runbear
Checked 4 days agoAcross the latest 2 updates: 1 feature update and 1 launch.
LaunchChangelog·May 21Newest
Big Spring Update: Scheduled Triggers, AI Agent Builder, Jira & Confluence, and More
Runbear adds scheduled triggers, AI-assisted agent builder, Jira/Confluence integration, new models (Claude Opus 4.7, Gemini), and improved Inbox Agent.
FeatureChangelog·Feb 4
Inbox Agent (Beta): Open every client message with context, actions, and a reply ready
Inbox Agent beta auto-populates email context, summarization, suggested actions, and reply drafts from connected tools.
What independent users actually report about Runbear
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
27 mentions across 3 sources (Hacker News, YouTube, Product Hunt).
52% positive48% critical
Recurring strengths
- +Proactive agents that pre-read Slack context before you ask.
- +No-code agent building via chat or AI-assisted editor.
- +Works across Slack, Teams, email with 2,000+ integrations.
- +Automated CRM updates, ticket creation, and risk alerts.
- +Memory and learning of team terminology and processes.
Recurring frustrations
- −Very little independent user feedback to validate claims.
- −Pricing details not shared in public community data.
- −Proactive actions could produce noisy false positives.
- −No detailed comparisons to established competitors.
- −YouTube reviews mostly irrelevant (The Wild Robot, etc.).
Patterns worth knowing
Proactive pre-read model is a key differentiator from passive AI assistants.
Seen on Product Hunt
Ease of use and no-code agent creation praised by early adopters.
Seen on Product Hunt
Lack of real-world reliability data and critical reviews.
Seen on Hacker News, YouTube
Learning curve
beginnerProductive in ~5 minutes
Hidden costs people mention
- • Credit-based cost for auto-routing to optimal models may scale unexpectedly
Viability Score
77/100
Safe BetHow likely is Runbear to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
momentum
55
funding runway
80
website health
90
wrapper dependency
100
Last calculated: July 2026
How we score →Key Features
- AI agents in Slack/Microsoft Teams that pre-read context and draft replies
- Proactive monitoring and alerts for account risks, ticket status, and usage drops
- Automated ticket creation (Jira, Linear) from conversation
- CRM updates (HubSpot, Salesforce) via chat
- Knowledge base ingestion from Google Drive, Notion, Confluence, and websites
- Scheduled triggers and event-based automation with wizard setup
- AI-assisted agent builder and editor (chat to create)
- Memory and learning of team terminology and processes
- Per-user authentication on shared agents
- Bring your own LLM key (BYOK) on Business plan
- Auto-routing to optimal model per task (credit-based cost)
- SOC 2 Type II certified, SSO & RBAC
- Streaming replies with interactive buttons and tables in Slack
- Missed-message reminders and insight notifications
- Inbox Agent (Beta) for email context and reply drafts
About Runbear
FreemiumBeginner-friendlyAPI availableWeb · Plugin
Runbear is an AI workforce platform that deploys shared, per-user-authenticated agents directly into Slack, Microsoft Teams, and email inboxes. Designed for ops teams—SalesOps, RevOps, Support, HR, Marketing—it connects to over 2,000 tools including HubSpot, Jira, Confluence, Google Drive, and Notion to automatically pull context, draft replies, create tickets, update CRM, and flag risks, all triggered by natural conversation. No coding required: agents can be built via chat and tuned with an AI-assisted builder, set on scheduled or event-driven triggers, and powered by models like Claude Opus 4.7, Sonnet 4.6, and Gemini. What sets Runbear apart is its proactive, pre-read model: by the time a user opens Slack, Runbear has already synthesized relevant data and prepared a draft or action, reducing response times by up to 10x in early customer trials. Unlike standalone AI assistants that require manual prompting, Runbear's named agents (@Support, @SalesOps) live in channels and contribute automatically when work happens.
Behind the Verdict
Runbear shifts the AI assistant paradigm from 'ask and wait' to 'watch and contribute'. For teams drowning in Slack threads and CRM updates, having @Support or @SalesOps pre-read context and draft replies before you even open the channel is genuinely useful. The credit-based billing (not per-seat) aligns costs with actual usage, which is refreshing. However, heavy users with complex multi-tool workflows may burn through credits quickly—keep an eye on the monthly allowance. Compared to Slack AI, which is personal and workspace-bound, Runbear's shared, per-user-authenticated agents are better for team coordination. Claude and ChatGPT require separate tabs and manual prompting; Runbear meets you where you already work. But if your team is small or your workflows simple, the subscription cost may not justify the automation. Ideal for mid-market ops teams that live in Slack and want to cut response times without hiring more headcount.
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Use Cases
- Automatically draft a renewal deck from CRM and usage data in under 30 seconds.
- Monitor daily API usage and flag accounts at risk of churn before renewal.
- Create Jira tickets from Slack conversation when a bug is reported.
- Answer employee policy questions in Slack using the company handbook.
- Draft reply to a customer support ticket by pulling context from past tickets and docs.
Models Under the Hood
Claude Opus 4.7Claude Sonnet 4.6Google Gemini (via Vertex AI)
Limitations
- Credits per plan cap heavy usage (e.g., deep work can cost 300-1500 credits each).
- Team plan supports only 5 builders.
- No offline mode; requires continuous internet connectivity to chat platforms.
- Some advanced automations require Business plan or higher for BYOK and CRM integrations.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Annual total
$948
Over 12 months
Effective monthly
$79
Billed monthly
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Integrations
Resources & Guides
Frequently Asked Questions
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