Runbear
AI teammates that act on their own in Slack, Teams, and Discord — no engineering needed.
Runbear is the most complete Slack-native AI agent platform we've tested. The credit model is sane—no seat tax—and the proactive monitoring genuinely cuts response times. Watch credit consumption on heavy tasks, but it beats Slack AI or ChatGPT for channel-native, multi-user workflows.
Verified 3d ago · liveness 83/100 · cite: rightaichoice.com/tools/runbear
- SalesOps teams needing instant deal context and deck generation
- RevOps teams monitoring usage and renewal risks
- Support teams drafting replies from knowledge base and past tickets
- HR teams automating onboarding and policy Q&A
- Teams requiring full offline or on-premise deployment
- Users seeking a traditional chatbot without proactive automation
- Organizations needing deep customization of AI model training
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Skip Runbear if you don't run your operations on Slack, Teams, or Discord, or if your team needs a simple chatbot without proactive monitoring and can't justify a monthly subscription cost.
Deep work tasks like multi-page research or competitive analysis cost 300–1500 credits each, so a single heavy task can burn a large chunk of your monthly allotment.
Runbear's credit-based model is a good fit for mid-size teams (20–200 people) that want a flat fee instead of per-seat pricing. At $99/mo for the Team plan, it's cheaper than per-seat tools like Slack AI (which charges per user) and competitive with ChatGPT Team. Enterprise pricing is custom, but the absence of seat tax makes it attractive for large teams that use Slack heavily.
In short
Runbear — AI teammates that act on their own in Slack, Teams, and Discord — no engineering needed. Best for SalesOps teams needing instant deal context and deck generation, RevOps teams monitoring usage and renewal risks, Support teams drafting replies from knowledge base and past tickets. Free to start; paid plans from $9979.2/mo.
What's new in Runbear
Checked yesterdayAcross the latest 2 updates: 2 feature updates.
Ship an Agent Straight From Your Terminal
Runbear MCP server (early access) lets Claude Code, Claude Desktop, and Cursor manage agents. New runbear:deploy skill deploys a local project as a teammate.
Summer Update: Advanced Agent Beta, Chat Setup, Feedback Learning
New Advanced agent (beta) runs tasks to completion with a real file system. Agents can now self-configure from chat and learn from feedback.
What people actually say about Runbear — is it worth it?
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) · researched Aug 6, 2026.
- +Proactive agents pre-read context and prepare actions before you ask
- +Easy chat-based agent builder, no coding required
- +Shared agents with per-user auth work across Slack, Teams, Discord
- +Integrates with 2,000+ tools, including HubSpot, Jira, Gmail
- +Credit-based pricing covers all teammates, not per-seat
- −No independent long-term user reviews; all buzz is launch-driven
- −Critical questions (like scheduling) went unanswered in comments
- −Proactive 'act before you ask' may raise trust and control concerns
- −No public data on reliability, uptime, or error rates at scale
- −Complex features like Advanced agent are still in Beta
- • Credits can be consumed quickly if agents are triggered frequently, potentially pushing users to higher tiers
- • BYOK requires paying the LLM provider directly, adding a separate cost stream
Viability Score
How well maintained and how widely used is Runbear? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Proactive monitoring with triggered alerts
- Automated ticket creation (Jira, Linear)
- CRM updates (HubSpot, Salesforce)
- Knowledge base ingestion
- Scheduled triggers and event-driven automations
- AI agent builder (chat-based setup)
- Advanced agent (Beta) with file system
- Feedback learning (thumbs-up/down)
- Bring your own LLM key (BYOK)
- Auto-routing to optimal model
- SOC 2 Type II certified
- Streaming replies and buttons in Slack
- Voice and vision capabilities
- Inbox Agent for Gmail
- MCP server support for Claude Code, Codex, Cursor
About Runbear
Runbear installs named, shared AI agents directly into Slack, Microsoft Teams, and Discord, so ops work gets handled inside the tools your team already uses. It's built for SalesOps, RevOps, Support, HR, and Marketing teams. Each agent connects to 2,000+ tools like HubSpot, Jira, Confluence, and Google Drive, pulls context automatically, drafts replies, creates tickets, updates CRM records, and flags risks—all triggered by natural conversation or scheduled events. No engineering required: the workflow owner can chat to hire and configure an agent in about ten minutes, using an AI-assisted builder. The defining trait is proactive, pre-read behavior. Instead of waiting for a prompt, agents watch for signals—a churn-risk keyword in a support channel, a usage drop from a key account, an order email—and show up with a drafted response or completed action. Early trials report response times cut by up to 10x. Per-user auth on shared accounts means every teammate sees the same thread, but each action is logged to the right person. The lineup includes an Advanced agent (Beta) that executes end-to-end tasks with a file system, learns from thumbs-up/down feedback, and can self-configure from chat. Recent updates added scheduled triggers, an AI agent builder (chat-based setup), and official Jira and Confluence integrations. On Business and Enterprise, you can bring your own Anthropic or OpenAI key and pay providers directly, making credits a thin processing fee. Runbear positions itself as a layer on top of chat apps and even existing AI assistants like Slack AI or Claude. It provides multi-user identity, per-agent knowledge bases, and per-user auth on shared agents—capabilities those alternatives lack or limit. For teams already on Slack, Teams, or Discord that need agents to act without being prompted, Runbear offers a credit-based pricing model (no per-seat charge) and a free tier to get started.
Behind the Verdict
If your team lives in Slack and you've tried generic AI assistants that just answer questions, Runbear is the next step: agents that watch for signals and act before you ask. The proactive triggers—like catching a churn-risk keyword or a usage drop—are what set it apart from a chatbot. We'd reach for this when you want to automate routine ops work without hiring engineers to build custom bots. That said, it's not for every situation. If you need full offline or on-premise deployment, this isn't it. The credit system, while fair, can be a cost consideration for heavy automation; deep research tasks can draw hundreds of credits. Low-volume teams might struggle to justify the subscription cost, though the free tier helps you test. Compared to Slack AI, which offers per-user personal AI, Runbear gives you named shared agents with per-user auth and custom knowledge bases across your stack. It also works across Teams and Discord, which Slack AI doesn't. If you're already using Claude or ChatGPT, Runbear layers on top, adding multi-user identity and proactive actions. In practice, the setup is genuinely simple—chat to hire an agent, wire your tools, and it starts showing up in your channels. The MCP server for Claude Code, Codex, and Cursor is a nice touch for developer workflows, letting you describe a workflow and have Runbear draft the agent. But keep an eye on credit consumption and data access, though SOC 2 Type II and per-user auth should ease security concerns.
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Real-world workflow fit
Concrete scenarios for the personas Runbear actually fits — and what changes day-one when you adopt it.
A key account's usage drops 70% week-over-week and renewal is in 40 days. The RevOps agent flags it in the #cs-leadership Slack channel, tags the account as at-risk in HubSpot, and posts a summary with suggested next steps.
Outcome: CSM reaches out within hours, saves the account, and the renewal is secured. The agent's proactive signal prevented a silent churn.
A customer reports a bug in Slack. The Support agent detects the message, searches past tickets and docs, drafts a reply explaining the root cause and a fix date, and posts it in the channel for approval.
Outcome: A human reviews and sends the reply to the customer in minutes, instead of hours. The agent's draft is accurate and aligns with past resolutions.
A new hire asks about expense policies in a Slack channel. The HR agent, trained on the employee handbook, replies with a specific policy and directs to the right form.
Outcome: The new hire gets an immediate answer, and HR saves time on repetitive questions.
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.
- Set up a scheduled weekly summary of team metrics in Slack.
- Respond to a Reddit thread or brand mention with a no-pitch draft.
Models Under the Hood
as of 2026-09-01
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.
as of 2026-08-24
Verification history
We have re-verified Runbear 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 7 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Runbear tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Solo users or tiny teams (1-5 people) wanting to test Runbear with a single agent in Slack, Teams, or Discord and access to 2,000+ tool integrations.
What this tier adds
Free is the entry point with 1 agent and 1 builder, but no scheduled triggers or CRM integrations.
Team
$99/mo (monthly) or $79.20/mo (annual)
Ideal for
Small ops teams (5-20 people) that collaborate on AI agents and need more than one builder, plus access to MCP actions and personal agents.
What this tier adds
Adds 5 builders, 20,000 credits/month, and personal agents compared to Free.
Business
$399/mo (monthly) or $319.20/mo (annual)
Ideal for
Mid-size companies (20-200 people) deploying agents across multiple teams that need CRM integrations, audit logs, and BYOK for cost control.
What this tier adds
Adds 10 builders, 100,000 credits, HubSpot/Zendesk integrations, BYOK, per-user auth, SAML/SSO, and audit logs over Team.
Enterprise
Custom
Ideal for
Large organizations (200+ people) that need custom credits, builders, and interactors, with priority support, SCIM provisioning, BAA, and signed DPA.
What this tier adds
Adds custom everything, SCIM provisioning, BAA, signed DPA, and priority support SLAs over Business.
Where the pricing makes sense
The company stage and team size where Runbear's pricing actually pencils out — and where peers do it cheaper.
Runbear's credit-based model is a good fit for mid-size teams (20–200 people) that want a flat fee instead of per-seat pricing. At $99/mo for the Team plan, it's cheaper than per-seat tools like Slack AI (which charges per user) and competitive with ChatGPT Team. Enterprise pricing is custom, but the absence of seat tax makes it attractive for large teams that use Slack heavily.
Setup time & first value
How long it actually takes to get something useful out of Runbear — broken out by persona, not the marketing-page minute.
For a non-technical team lead, you can set up a first agent in about 10 minutes using the AI-assisted builder. Deploy it to a Slack channel, connect the tools (e.g., Google Drive, HubSpot), and it starts responding immediately. For advanced setup like MCP or custom triggers, expect 30–60 minutes if you're comfortable with docs.
Switching to or from Runbear
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Slack AI: Set up @agents in Runbear that match your existing workflows, then invite the same channels. Slack AI is personal; Runbear gives shared, multi-user identity.
- ↗To a custom LLM tool like LangChain: Export your agent configurations (if possible) and rebuild in a code-first framework. Your prompts and tool connections are portable.
- ↗To ChatGPT Team: Recreate your workflows as GPTs, but note you'll lose channel-native triggers and proactive monitoring.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Runbear
Common stack mates teams adopt alongside Runbear, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Runbear vs Presto Voice
Buy Presto Voice if you're a QSR chain wanting to automate drive-thru ordering and boost revenue through upselling—it delivers up to 95% non-intervention and measurable ROI. Choose Runbear if you need AI agents inside Slack/Teams that pre-read context, automate tasks, and connect to thousands of tools—ideal for ops teams that want proactive, no-code automation.
Runbear vs B Rokratt
Runbear wins for any team needing proactive AI agents inside Slack/Teams that act on CRM, tickets, and knowledge bases — but only if you're not in Estonia. Bürokratt is the must-have free tool for Estonian residents navigating government services, but is irrelevant outside that scope. Choose based on geography and workflow: Bürokratt for civic tasks, Runbear for business ops automation.
Runbear vs Truleo
If you're a police department drowning in siloed data (RMS, jail calls, body cameras), Truleo is your only choice. For every other ops team wanting proactive AI agents in Slack—sales, support, HR—Runbear is the clear winner. They serve completely different buyers; choose based on your domain.
Alternatives to Runbear
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