You can now ask your own AI agent directly inside Zendesk and get instant answers without switching tools. From pricing policies to onboarding steps, resolve questions fast and send helpful replies to customers right away. ⚙️ Make sure to enable Trigger by internal comment in the Trigger tab to activate this feature.
✨Other changes
📈 Per-Assistant Analytics Now Available: You can now view analytics by assistant in the Analytics tab on the agent edit page.
You can now sync documents from SharePoint — like internal docs and team knowledge — so your agent stays aligned with what your team knows.
 🕒 Schedule Recurring Tasks in Slack
One of our most-requested features is now live: Scheduled Jobs.
You can now schedule recurring tasks directly from Slack — like check-ins, reports, or summaries — and let your agent handle them on time, every time.
Available now for Slack with Anthropic-powered agents.
Task Analysis Is Now in Beta
We’re launching Task Analysis — a smarter way to find work your agent can take off your plate.
It reviews Slack channels to uncover repetitive tasks and suggests agents to automate them — even the ones you didn’t know could be automated.
You’ll find it under Home > Task Analysis.
Note: Available on the Team plan and above. Slack only for now.
✨ Other Changes
Smarter agent creation: Just describe your agent’s goal — Runbear will generate a goal-optimized system prompt for you. You can further refine it with the ✨ magic wand button.
Improved tool execution flow: We’ve enhanced how agents call integrated tools, making task execution faster and more reliable across connected services.
🌐 Website Sync Has LandedOne of the most requested features is finally here!
You can now sync your website — including docs, blogs, and FAQs — directly to your agent’s knowledge base. It just works, and your agent instantly becomes more helpful.
We’re launching this in beta, and we’re excited to see what you’ll build with it.
🌎 Claude Agents can now Search the Web
Claude-powered agents can now search the web in real time — no setup needed.
That means they can pull the latest information straight from the internet whenever it’s relevant, and respond with even more accurate, up-to-date answers. This is now on by default.
We’ve made the MCP tools smarter! They can now better understand which tool and settings you need—whether you’re adding blocks to a Notion page or creating and assigning Jira tickets.
Smarter Planning with Extended Thinking
Claude-based Agents are now better at handling complex tasks by thinking through the steps before taking action. This makes responses more accurate and reliable—especially for workflows that involve multiple decisions or tools.
Improved Reasoning Visibility
We’ve updated the response format for Claude-based Agents to make the reasoning process more transparent and easier to follow. Now, step-by-step thoughts remain visible throughout the response generation, giving users a clearer view of the full context.
Granular Tool Control for MCP Integrations
You can now selectively enable or disable tools within each MCP server. With this update, you can confidently empower AI agents to use only the tools you select, giving you more flexibility and control!
Private Beta: AI Continuous Learning with User Feedback
We’re excited to introduce a new continuous learning feature in private beta! The AI will automatically incorporate your feedback and adjust its system instructions in real time.
We’re rolling out this capability gradually to a select group of users. If you’d like early access to try it out, just reply to this email—we’d love to include you!
Agents can now understand and respond based on previous messages in 1:1 chats on Microsoft Teams. Previously, context was only maintained in threaded channel messages — DMs were limited to one-off replies. This update brings more fluid, helpful conversations in direct messages too.
Performance & Stability Improvements
Faster Assistant Editor with Large File Sets
The Assistant edit page now loads quickly, even when syncing thousands of documents. No more sluggish load times.
Improved Reliability in Model Context Protocol (MCP)
We’ve fixed several issues where certain tools weren’t executing properly, and added a loading indicator so you can now see which tool your agent is currently using. That said, some tools may still run into problems when given the wrong input format. We’re aware of this and are actively working on a fix — it’s a top priority and should be resolved soon.
Slack AI App Improvements
Fixed a bug where agents didn’t respond correctly when “Reply as a new message” was enabled.
Reminder: If you haven’t already, you can reconnect your custom Slack bot to the Slack AI App to place the agent in Slack’s top-right corner for quick access. Check your setup at Settings → Integrations → Slack
Runbear just got smarter—it now remembers your specific instructions and adapts accordingly. For example, tell it "Be more polite," "Always summarize in bullet points," or even "Always fetch pricing details from the web," and it'll personalize future conversations based on what it has learned about you. Give it a try!
Note: This feature is available by default on Claude and still improving. Memory management tools aren't available yet, but your assistant is always learning behind the scenes. Stay tuned—more updates coming soon!
Switch to the New Slack AI App
We’re excited to launch Slack AI App support for custom bots! You can now add AI agents directly to your Slack’s top navigation bar — the fastest way to bring your assistant closer to your team.
Follow this guide to enable the Slack AI App and make it even easier to get the most out of Runbear!
Smart Reply Now Supports Targeted Responses
Smart Reply now gives you more control — you can choose exactly which users or groups should receive the AI Agent's response.
For instance, if you'd like your customer service team to review customer inquiries before replying to the customer, just set them as the recipients. It's an easy way to keep things efficient and accurate.
This update gives you more flexibility to tailor Smart Reply to your team’s needs and workflows.
Track Changes to Your Agent’s Instructions
You can now view and compare changes to your assistant’s instructions over time.
Whether you’re tracking tweaks or debugging behavior, this gives you better visibility into your assistant’s evolution.
April’s here—time to turn the page and start strong! No jokes here—we've genuinely released some incredible new features. We're thrilled to share these exciting updates and preview the important milestones on our horizon!
Model Context Protocol (MCP) Support
Model Context Protocol (MCP) is revolutionizing the AI landscape! We're thrilled to announce that Runbear now supports MCP integrations. This breakthrough transforms your AI agents from simple conversational tools into powerful autonomous systems capable of taking meaningful actions in real-time.
Smart Reply makes your AI Agent feel like a true teammate—always ready to jump in with helpful suggestions without needing to be explicitly mentioned. When someone posts a message in Slack that your agent can help with, it quietly suggests a response just for you. You can then choose to share it with the thread or dismiss it with a click.
No commands, no tags—just seamless intelligence embedded in your team’s workflow.
Use cases
Sales team: “Does anyone know the contact at Acme?” → Agent suggests the correct contact info pulled from your CRM
HR team: “Did our PTO policy change this month?” → Agent links to the updated Notion doc
IT team: “Where’s the VPN setup guide again?” → Agent surfaces the Confluence page instantly
Support team: “Who should we escalate this to?” → Agent provides escalation steps based on your internal documentation
How to set up
Smart Reply is automatically enabled for all newly created AI Agents. For existing Agents, you can enable Smart Reply in the Channels > Trigger tab within the Runbear dashboard.
We’ve polished the knowledge source integration experience to be faster, more seamless, and more reliable.
Now, you don’t have to wait for all your files to finish uploading when creating a new agent—just keep going, and we’ll handle the rest in the background.
We’ve also added Notion document search during sync, so it’s easier than ever to find exactly what your agent needs.
Enable your AI agent to jump in with answers when someone is mentioned in a question—if it has the relevant knowledge to help. Don't worry; only the people involved in the conversation will see the response, privately. Want to share it with everyone? Just hit the "Share to thread" button!
To enable this feature, go to your assistant's Channels tab and toggle on "Trigger on User Mention".
Playground
We’re excited to launch the Playground! Now you can test your AI agents directly in your web browser—no more switching back and forth between tools. It’s all in one place for maximum convenience.
We’ve made syncing with Google Drive and Confluence easier!
For Google Drive, setup is now much simpler. Instead of creating a service account and sharing files manually, you can authorize the integration and select files to sync. Existing setups will still work, but switching requires disconnecting and reconnecting.
Note: Folder sync isn’t supported with the new method. Use the service account option if you need to sync entire folders.
For Confluence, no more manual API keys or URLs—just authorize access and select the pages to sync. It’s faster and more straightforward.
For Slack, syncing is now even more flexible! You can set a starting point for message sync, so only conversations from that point onward will be included. Plus, you’re no longer limited to the default Runbear bot—custom bots are now supported for integration.
Other changes
Improved Slack message summarization quality: Enhanced the assistant's conversation understanding and summary generation capabilities
Fixed annotation mapping: Fixed failed annotation mappings in assistant responses
