Kollab

Shared workspace where teams work with agents together

Productivity

Artificial Intelligence

No-Code

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The bots triggering from Slack and syncing back to the workspace is a nice loop, but how about when someone edits the output inside Kollab, does that change reflect back in the Slack thread?

How do you handle agent coordination across workflows? Building an AI scheduling assistant for TV and curious about your approach to chaining agent tasks.

We've been using Kollab internally for a few weeks now.

The biggest win for us is Skills — once someone builds a workflow, the whole team can reuse it instantly. No more explaining the same process over and over. Really changes how we share knowledge across the team.

Interesting positioning. Feels less like “another agent tool” and more like an orchestration layer across where work already happens. If teams can actually rely on it for day-to-day ops, this could become pretty sticky.

This feels very practical. Most teams don’t lack tools — they lack something that ties everything together. An agent that sits across channels and actually executes workflows (not just answers) could remove a lot of operational overhead.

Hey 👋 I'm Lynn, one of the makers behind Kollab.

Kollab is the AI workspace that actually gets how teams work. 🎯I've been looking for a platform that doesn't just bolt AI onto project management, but truly unifies agents, knowledge, and team collaboration in one place. Kollab nails it.

What stands out:

• One CLI to rule them all — spaces, projects, tasks, skills, bots, timers, MCP servers, memory. Everything is accessible through a single, cleankollab command. No more jumping between ten different tools.

• Knowledge-base powered — ask questions across your projects and get real answers grounded in your docs, not generic LLM hallucinations.

• Agent-first by design — timers, bots, and skills aren't afterthoughts. They're first-class citizens you can configure, automate, and deploy.

• Model flexibility — choose between Lite, Pro, and Max tiers depending on the task, so you're not overpaying for simple queries.

For teams building with AI, Kollab feels like the operating system we should have had all along. Clean architecture, real automation, and collaborative by default.

Upvoted and excited to see where this goes! 🚀---

Hi Product Hunt! 👋 I'm Gavin, the CEO and founder of Kollab.

While building my previous SaaS product (Buildin), I realized a fundamental issue: even with deep AI integration, most tools operate on a "SaaS + AI" logic where AI is merely a helpful sidekick. However, with the rapid rise of Claude Code, MCP, and similar breakthroughs, we are officially entering the Agent era.

Yet, the barrier to entry for using Agents at work is still way too high. Terminals, npm installs, MCP configurations, system prompts, memory management... these technical hurdles keep 90% of everyday users out. Even for the tech-savvy who do know how to set them up, their Agent environments remain siloed on local machines, making it incredibly hard to share workflows or best practices across a team.

That’s exactly why we built Kollab. We designed Kollab to be the central hub for team-agent collaboration. We focused on three core pillars to make this happen:

1. Zero-Barrier Configuration: We made the complexity of MCPs and coding environments completely invisible. Through our Connectors, you can integrate tools like Notion, GitHub, Figma, Linear, and Slack with just a few clicks, allowing your Agents to seamlessly access and act on your actual business data.

2. The Compounding Power of Team Knowledge: This is what makes Kollab truly special. When any team member creates a new Skill or sets up a workflow, it’s immediately added to your team's shared Skill Marketplace. One person's "aha" moment instantly scales into an organizational capability. No more reinventing the wheel.

3. Work Where Collaboration Already Happens: You shouldn't have to change your habits to use AI. With Kollab, you can deploy your Agents as Bots directly into Slack or Telegram. Just tag them in your chat, and they’ll take instructions and execute long-running automated tasks right alongside your human teammates.

Internally, our product, engineering, and ops teams are already sharing over 20 active skills for our daily workflows. We firmly believe that Agents shouldn't just be about boosting individual productivity—they should serve as the central nervous system for team collaboration.

We’d love for you to try Kollab and would be incredibly grateful for your honest feedback!

👉 https://kollab.im/product

Hey 👋 I'm jiayi, one of the makers behind Kollab.

Kollab is an AI-native workspace. Unlike doc tools with AI added on top, Kollab puts Agents front and center. You give them tasks, they execute, and everything stays in a shared workspace your team can actually use.

Here's a real example. Our team runs a blog. It used to be all manual: track trends, find topics, write drafts, make images, review. Same grind every week.

Now in Kollab:

1. A scheduled task searches target keywords every morning and drops new topic ideas into the workspace

2. Another task picks up new topics automatically, writes drafts and generates images

3. A review task runs a saved Skill to check tone, structure, and SEO

4. When it's done, the Bot sends a message in our channel so the team knows it's ready for final review
   

Three scheduled tasks running in the background. Skills defined once, reused every time. We just do the last step: review and publish. What used to take a team days now takes one person a few minutes.

No code. No stitching five tools together. Set up a Skill, set a schedule, let Agents do the work.

Teamwork, done with Kollab.