Changelog

🗂️ SharePoint Integration Is Live

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.

Empower Connected MCP Tools

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!

More Natural Conversations in Microsoft Teams DMs

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

Your Agent Now Has a Memory!

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.

Other Changes

• Support GPT 4.1
• Improved Model Context Protocol (MCP)
• Stabilized KB sync

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.

Check out this use case to learn more: Slack MCP Client — Run Claude with MCP directly in Slack

Smart Reply: Your AI Agent Always On Duty

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.

To learn how to set up and use Smart Reply effectively, check out our guide: Building AI Teammates That Actively Join Conversations

Smoother Knowledge Source Integration

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.

AI Agents Responding to User Mentions

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.

Removed clauses in the Privacy Policy related to sharing user information with business partners and other users from December 30th, 2024.

Improved Knowledge Base Integration Flow

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

Introducing Perplexity Integration for Real-Time Search

We’re excited to announce that Runbear now supports the Perplexity API, bringing real-time search capabilities directly to your workspace. This integration allows you to summon assistants built with Perplexity to perform instant searches, seamlessly enhancing your productivity within your existing workflow.

Key use cases:

• Market Research: Access the latest market trends, competitor analyses, and industry insights without leaving your workspace.
• Customer Research for Sales Teams: Quickly gather up-to-date information on potential clients to tailor your sales strategies effectively.

To get started, simply select the Perplexity type and enter your Perplexity API key when creating a new assistant. We’re always here to help, so feel free to reach out if you have any questions or need assistance.

Simpler Confluence Integration with Easy Navigation

We’ve enhanced the Confluence page integration experience to make it more intuitive and user-friendly. The new tree view interface allows users to easily explore the structure of an entire Confluence space and select specific pages or subpages for integration with just a few clicks.

Other changes

• Embedded images: We've launched the embedded image feature! This enhancement allows images to be seamlessly included within messages, providing more context and ensuring you stay on track while chatting with Runbear.
• Faster Notion Loading: We’ve made the Notion tree view load faster! Explore your changelog more smoothly and efficiently than before.