Say hello to Slite, the self-maintaining Knowledge Base

We started Slite in 2016. Back then, companies were drowning in docs nobody could find, let alone trust.

We took stock of the knowledge loop and spent a decade making that experience better. Slite today is used by thousands of teams who'd tell you their knowledge base is finally one they can rely on.

But, alas, a knowledge base is only as good as the truth inside it, and keeping that truth current has always been the unsolved part, because us humans are notoriously busy with our actual jobs to do doc-upkeeping.

That brings us to today's announcement.

This is the most ambitious evolution of Slite we've ever shipped. We’re finally solving our space core problem.

2 unsolvable problems until now

For the last few years, we've watched two problems get in the way of every knowledge base, ours included.

#1 Some information is never going to live in your docs, and shouldn't.

We thought putting everything in a Knowledge Base would make it a single source of truth. But some information is far too dynamic and constantly changing that it's better suited to remain in their vertical Systems of Record.

Deal stages belong in your CRM the same way engineering work belongs in Linear or Jira.

You've probably tried to mirror the info in your Knowledge Base for better search but given up.

That's why we'd launched last year Super - an AI search on top of all your company tools.

It answered questions from your entire stack. For a while, that felt like enough.

#2 Then docs stopped being docs and became context for Agents overnight

When agents arrived in late 2025, the stakes around your knowledge base quietly changed. Every AI agent your team built (for support, for ops, for sales) needed context to work. And the context it reached for was your documentation.

The problem with that was that documentation was written for humans, maintained by humans (badly), and never designed to be the foundation an AI would build decisions on.

Suddenly the gap between what your docs said and what was actually true wasn't just an inconvenience for a new hire. It was an agent confidently giving a customer the wrong answer, or an AI workflow running on a process that changed six months ago.

Your knowledge base stopped being a reading resource and became infrastructure. And infrastructure needs to be kept current.

As Knowledge Bases and internal documentation became monumentally more important for agents – who brought their own requirements – we saw that the market needed one tool:

• Designed for humans and agents alike
• Connected to all your tools and systems of record
• Automatically updating from your team’s activity
• Keeping humans in the loop to review and approve updates

People are calling it a company brain, a context graph, a memory layer, or whatever term X will come up with next week. But the essence is the same.
We just put it in a format that works for real businesses.

Every AI agent your team will ever build inherits the same well-tended truth on day one, always caught up.

So, meet the new Slite.

Slite is now a self-maintaining Knowledge Base.

Until now, Slite has always been the place your team writes and maintains its docs.

Super, since we launched it last year, has been the place you go for an answer when you don't know where it lives.

Today, Super merges into Slite as the Slite Agent, and it picks up a much bigger job on the way in.

It can still find you any answer across your stack. But it can also:

• Monitor the freshness of your documentation
• Propose changes to your outdated documents
• Give accurate answers and context to AI agents

Ultimately, it keeps your Knowledge Base honest while connecting with every AI agent that needs company context.

What the Slite Agent unlocks for your actual workdays

Slite Agent is a teammate that keeps your documentation accurate and up to date. It changes the way you feed context to your AI agents and workflows. Here's what it looks like.

It notices when a doc has quietly gone wrong.

A developer merges a change, a process shifts in Slack, a policy gets updated in another tool, and somewhere a doc is now out of date without anyone realizing.

The Slite Agent watches those connected sources and flags the drift as it happens. You hear about the broken doc before your customer or your newest hire does.

Then the upkeep stops being your problem.

Catching one stale doc is useful. Doing it continuously, across every doc that references the thing that changed, is what makes a knowledge base self-maintaining.

The maintenance digest does exactly that. Slite Agent checks all activity across your workspace, say from the past week, and sends each doc owner a list of what needs updating.

You're the last word on every change.

A knowledge base that edits itself sounds great right up until you imagine it rewriting your security policy at 2am.

However, every change the Slite Agent proposes waits in a review queue, the old version and the new one side by side, and nothing goes live until a person approves it.

You get a knowledge base that maintains itself and a clear record of every call it asked you to make.

This what a self-maintaining knowledge base feels like in practice. You write what you'd write anyway, and the Slite Agent keeps all of it true, long after you've moved on to the next thing.

It builds docs from what's already happening around you.

Turn a messy Slack thread into an onboarding doc. A closed Jira ticket becomes a process update. A product change in Linear becomes a revised SOP.

You can ask the Slite Agent to pull from your connected tools and scaffold the doc, you just react to a polished first draft instead of starting from a blank page.

It finds the answer, wherever the answer actually lives.

Most of your knowledge doesn't live in one place.

It's split across your docs, your Slack history, your Salesforce CRM, and a Jira ticket someone closed last quarter.

Ask the Slite Agent a plain question and it reads all of it and hands you one sourced answer, instead of ten tabs to dig through yourself.

Continue reading here → The self-maintaining knowledge base: what it is and why every team needs one

What's next?

Slite Agent is available starting June 10, 2026. It's included on the Pro plan ($20/user/month, billed annually), which gives you the full agent plus AI search across 20+ connected tools.

The Basic plan ($10/user/month) includes the Slite knowledge base and Ask, limited to your Slite docs. Both plans come with a 14-day free trial, no credit card required.

If you're already on Slite, you'll see the Slite Agent show up in your workspace automatically, there's nothing you need to do to switch it on.

If you're currently using Super, nothing breaks. Super is now Slite Agent. The search and AI capabilities of Super are being unified into Slite under one product, one interface, and one agent experience. Existing Super customers will stay on their current subscription setup.

If you've been waiting to see what an AI-native knowledge base actually looks like in practice, this is the version we'd want you to judge us by. Start your free 14-day trial or book a demo, and we'll show you what your knowledge base looks like once it's keeping itself current.