Super
Slite · Productivity · Leaning
Super is an AI search and knowledge platform from the Slite team that connects your company tools, keeps team documentation current, and returns cited answers through AI agents.
About Super
What Is Super
Super is the AI enterprise search product the team behind Slite built for the agent era. Slite shipped its knowledge base for teams back in 2017, then launched Super in 2025 as a second product aimed at a problem Slite alone could not cover: searching and acting on knowledge that lives scattered across every tool a company uses.
The idea is simple to state and hard to pull off. Super treats your company knowledge as the memory layer for AI, then puts agents on top of it. Those agents answer questions with citations, watch connected apps for changes, and draft updates when a document drifts out of date. This is team knowledge management that runs itself. Super also exposes that same knowledge to outside AI tools through an MCP server and a public API, so agents you already run can pull from the same pool.
The main limit is that Super leans on the knowledge you feed it. Teams with scattered, unmaintained docs get less reliable answers, and the agent works best once you connect your core tools and keep permissions tidy. It is a search and knowledge product first, not a general-purpose chatbot.
Getting Started
- Create a workspace on the Super site and pick the plan that fits your team size.
- Connect the tools your team already works in, such as Slack, Linear, GitHub, and your document store, then confirm the agent can read each one.
- Let Super index the connected sources so its search covers more than one place.
- Ask a question in plain language and check the cited answer, owners, and timestamps it returns.
- Review the update proposals the agent drafts for stale docs, then approve or reject each one.
Product Information
A quick look at Super's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Operations and support teams that field the same questions daily, since Super returns one cited answer instead of sending people hunting through old docs.
- Engineering and product managers who need the latest decision on a project, because the agent reads connected tools and flags docs that no longer match reality.
- Companies already using Slite or migrating from Notion or Confluence, because Super reuses the same knowledge base rather than asking for a fresh start.
Tasks
- Finding an answer across many tools at once
- Keeping documentation accurate
- Giving outside AI agents your company context
Scenarios
- Onboarding new hires who need to find policies, owners, and past decisions without interrupting a teammate.
- Running a support desk where answers must match the current product, not a version from last year.
- Preparing a project update, where you want a summary drawn from the tools where the work actually happened.
Key features
AI Search Across Connected Tools
Super searches more than a single document store. It reaches into the apps your team connects, from Slack conversations to code repositories, and returns one answer with its sources attached. That matters when the fact you need lives in a ticket, not a wiki page, and it saves the round of asking around that usually follows.
Self-Maintaining Knowledge Base
The agent watches your connected tools for changes and compares them against your documentation. When a doc falls out of date or two pages contradict each other, Super drafts a correction and routes it to the right owner. Nothing goes live on its own: every change waits for a human to approve it, which keeps the knowledge base trustworthy without demanding constant manual upkeep.
Cited Answers With Evidence
Responses come back with the sources, owners, and timestamps behind them, so readers can check the claim instead of taking it on faith. Super also weighs freshness, authority, and verification before it uses a document in an answer, which helps separate current guidance from stale notes.
Slite Agent
The built-in agent does two jobs: it keeps the knowledge base true and it finds answers from it. It knows the people, projects, and decisions behind a request rather than matching keywords alone. For teams that already run Slite, the agent turns a passive wiki into something that responds and corrects itself.
MCP Server and Public API
Super connects to outside AI tools through an MCP server, so agents like Claude, ChatGPT, Cursor, or a custom build can search your knowledge base and read full docs. Access follows the permissions of the signed-in user, and a REST API covers custom integrations. This is what lets other AI products treat Super as their memory.
Knowledge Management Panel
Super includes a panel for bulk work on documents, alongside insights on how the knowledge base is used. Admins can run actions across many docs at once instead of editing them one by one. It suits teams whose documentation grew faster than their maintenance habits.
Pros and cons
Pros
- Searches across connected tools, so answers are not trapped inside a single wiki.
- Keeps documents current by drafting fixes for human approval.
- Returns cited answers with sources and timestamps, which makes them easy to verify.
- Offers an MCP server and REST API, so other AI agents can reuse your knowledge.
Cons
- No free plan, so teams must pay before they can test it on real work.
- Answer quality depends on how well you connect and maintain your sources.
- Full value needs setup effort to link tools and set permissions, which slows a quick trial.
Frequently asked questions
Super is an AI search and knowledge platform that connects your company tools, keeps team docs accurate, and returns cited answers. It is built by Slite, the team behind the Slite knowledge base.
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