Changelog - DIY AI Agents for Your Team | Runbear
🚀 Ship an Agent Straight From Your Terminal
You already wrote your agent's instructions — they're in your repo. Now you can ship them instead of re-authoring them in the dashboard.
🖥️ Ship your project as a teammate
The Runbear MCP server (early access) lets Claude Code, Claude Desktop and Cursor manage your agents. The runbear:deploy skill packs a local project and deploys it.
Deploy your project
/plugin marketplace add runbear-io/skills
/plugin install runbear@runbear-skills
/runbear:deploy --new "Triage"
The agent runs your files. On its next activation it loads the same CLAUDE.md, skills and code you have locally. Slack is a second ask in the same session.
⚡ Also shipped
Six managed MCPs. Airtable, ClickUp, Apollo.io, Todoist, Salesforce and Amplitude — pick the tile and authorize, no server to stand up.
⌘K in the dashboard. Jump straight to an agent, a page or an action.
Gemini 3.7 Flash. Alongside 3.6 Flash, 3.5 Flash and Flash Lite, and 3.1 Pro. The 2.x generation is retired.
More model control. The full OpenAI catalog, reasoning effort and verbosity, and stable or pinned Anthropic versions with thinking effort.
Always-on memory compaction. Long threads keep what matters without the context growing unbounded.
Setup lives in Agent Skills.
🚀 Summer Update: Agents That Do the Work, Set Themselves Up From Chat, and Learn From Feedback
Hand a Runbear agent a real task and it now runs the whole thing to the finish, right in the thread, instead of stopping at the first reply. It can also set itself up straight from chat, and it gets sharper from the feedback you give it. Here's what's new.
🤖 Introducing the Advanced agent (Beta)
This release's headline is a brand-new agent type. Give an Advanced agent a real task and it works through every step to a finished result, right in the thread, instead of stopping at the first reply.
- Does the whole task, start to finish. Hand it a real task and it runs every step to a finished result, then drops the file back into the thread, instead of stopping at the first reply.
- Works in a real environment. It has its own file system, so it can pull in the tools it needs, run code, and produce actual files like a PDF report, not just text.
- Reuses your skills, remembers your context. Teach it a procedure once and it repeats it the same way every time, and it holds on to details from earlier conversations so nobody has to re-explain.
Turn it on. The Advanced agent adds skills, a real file system, and adaptive learning. Creating one takes a few clicks.
🛠️ Build your agent right from chat
Setting an agent up used to mean clicking through settings. Now you tell it what you want in plain language and it wires itself up.
- Connect the tools it needs. Ask for something that needs an app the agent isn't hooked up to yet, and it finds the right one and connects it on the spot.
- Schedule recurring work. Say “every Monday at 9am, post a summary” and the agent sets up the scheduled job itself.
- Set up triggers. Tell it to act when something happens, like a new ticket or a form submission, and it wires up the trigger for you.
- You stay in control. Agents only reach for tools your workspace allows, and any job or trigger they set up follows your existing permissions and can be reviewed or turned off at any time.
🎓 Give feedback, teach your agents
Your thumbs-up and thumbs-down stop vanishing into a void. Now they feed straight back into how your agent works.
- Rate any reply. A quick 👍 or 👎 in Slack or Teams tells your agent what good looks like.
- Suggestions you can actually use. Runbear reviews your feedback nightly and drafts specific edits to your agent's instructions. You see exactly what would change and apply it after a quick look.
These upgrades are rolling out over the coming weeks, so some may not be switched on in your workspace yet. Your agents pick them up automatically as the rollout reaches you.
🚀 Big Spring Update: Scheduled Triggers, an AI Agent Builder, Jira & Confluence, and More
We've been shipping fast. Here's a roundup of what's new in Runbear since our last update.
New
- Triggers & scheduled automations. Your agents can now act on their own. Set up scheduled jobs (with a Run Now button and an active/inactive toggle) and event triggers that fire on real-world events, with a guided setup wizard, LLM-based pre-filtering, and automatic reconnect prompts when an integration needs re-auth.
- AI-assisted agent builder & editor. Build an agent just by chatting, and refine its Instructions and Contexts with an AI chat panel. We also auto-generate agent descriptions and redesigned the navigation and Overview so everything is easier to find.
- Slack-first onboarding. Getting started is now a single Slack-first flow with a persistent "Get Started" checklist and a friendlier welcome that walks you to your first working agent.
- More integrations. Official Atlassian Jira and Confluence support, plus Granola, HiBob, Tiro, Apify, Google Cloud, native Gmail and Calendar, and custom MCP servers for personal agents.
- The latest models. Claude Opus 4.7 (BYOK) with adaptive thinking, Claude Sonnet 4.6, and Google Gemini via Vertex AI. (Claude 3.7 Sonnet has reached end of life.)
Improved
- A smarter Inbox Agent. Sharper Slack and Gmail draft replies that match your voice and tone, missed-message reminders so nothing slips, and less-intrusive insight notifications.
- Slack experience. Native streaming replies with a live status pill and plan card, interactive choice buttons, response feedback buttons, and proper tables in Slack, plus a long list of rendering and reliability fixes.
- Knowledge base quality & control. Exclude individual URLs from website sync, add an entire Google Drive at once, multi-tab Google Docs support, better Notion parsing, per-agent retrieval tuning, and stronger grounding to reduce hallucinations.
- Reliability. More resilient Microsoft Teams delivery, graceful handling of broken integrations, and automatic model fallback to keep responses flowing.
📥 Inbox Agent (Beta): Open every client message with context, actions, and a reply ready
✨ What’s new
- Live in under 5 minutes: Connect your inbox and start immediately. No complicated setup. No workflow changes.
- Activates the second an email arrives: As soon as a client email hits your inbox, Inbox Agent pre-populates automatically.
- Context, already assembled: It pulls the relevant account story from the tools you already use, including CRM, calendar, docs, and past threads, and puts it where you need it.
- What you need to know, summarized: Key updates, decisions, open questions, and risks are condensed into a short, scannable summary.
- Next steps you can click: Suggested actions like update CRM, loop in a teammate, or create a task, all clickable directly from the inbox.
- Replies done for you: A clear, confident reply draft appears instantly. Send as-is or make a quick edit.
Message Insights and Better Debugging Tools
🆕 Message Insights
We’ve added a new way to understand what users are actually asking your AI agents — without digging through raw message logs.
🔍 Grouped User Questions
Instead of showing every message individually, we now automatically group similar user questions to highlight common themes. This helps you quickly spot patterns such as frequent requests, confusing areas, or recurring problems.
🧩 Improve Agents with Context
Inside each grouped topic, you can add additional context or instructions to help your AI agents respond more accurately. This makes it easier to iterate on agent quality and improve resolution rates.
🔐 Privacy Controls
This feature is only available if your organization admin has enabled Message Insights, ensuring user privacy is respected.
🛠️ Better Trigger Debugging
You can now view status, messages, and execution logs for each Trigger — and even replay past events to test them more easily. Debugging made simple!
Pricing Update
From Messages to Credits
We're moving from message-based to credit-based billing because not all AI interactions are equal. A simple knowledge base Q&A consumes far fewer resources than a complex workflow with multiple tool integrations (MCP) and document processing.
Introducing Pay-as-You-Go
Previously, hitting your plan's limit meant upgrading or stopping until the next cycle. Now with pay-as-you-go, set your own overage limits and automatically purchase additional credits when needed—no service interruptions, no forced upgrades for temporary usage spikes.
Flexible Agent Limits
Previously, if you needed one more agent beyond your plan's limit, you had to upgrade your entire plan. Each plan still includes a base number of agents, but now you can create additional agents with pay-as-you-go—paying only for what you use without upgrading your entire plan.
🚀 Event Triggers, New Agent Creation With Context, and More
Event Trigger (Beta)
Runbear is now available everywhere! 🎉 We’re excited to introduce Event Triggers, a powerful new way to run your AI agents automatically in response to events.
Think of it as giving your agents superpowers—able to take action automatically:
- Auto-reply to emails in real time.
- Link new Zendesk tickets to the right Linear issues.
- Send meeting summaries to participants right after Zoom calls.
This is just the beginning. Unlock your imagination and let AI handle the repetitive work, so your team can focus on what matters most.
New Agent Form (with Agent Context)
Now you can create agents by simply choosing your tools—no prompts or complicated setup required. Once created, you can continue to teach your agents with Agent Contexts. (Or you can teach them directly in Slack, e.g., “@Agent, remember that you can find revenue from here: https//docs.google.com/...”)
Prefer more control? No worries! You can always switch back to the classic editor for full customization.
Better Smart Replies, Web Search Update, More Reliable Knowledge Base
Better Smart Reply
Smart Reply just got smarter! 🎉 Runbear AI Agents now proactively offer relevant information when they find it—no extra searching needed. This way, your teammates get answers faster, without interruptions.
Other changes
- 🌐 OpenAI Web Search Update: We’ve upgraded from Bing Search to Serper API, ensuring continued support after Bing’s retirement (Aug 11, 2025). Serper provides Google-powered, AI-optimized results for more accurate and reliable answers.
- 📂 Knowledge Base Improvements: Easier, faster, and more reliable.