Market overview · · 2 min read
Knowledge base software for software teams, compared
Notion, Confluence, Glean, amber, Rovo, wingmaite, open source and Scibly: which tools write, search, connect for agents or capture expert knowledge.
Felix KünneckeCo-founder of Scibly
The key points at a glance
- Knowledge management software comes in four kinds: write, search, connect for agents and capture expert knowledge.
- Notion, Confluence and open-source wikis such as BookStack and Wiki.js are places to write.
- Glean, amber, Rovo and the open-source Onyx search what's already written.
- Scibly, our product, brings the team's knowledge into Claude, ChatGPT, Copilot and Cursor; wingmaite and Scibly's Interview ask experts.
Which knowledge management software fits a software team?
Sort the tools by what they do, not by their label. There are four kinds: tools you write in (Notion, Confluence, wikis), tools that search what's written (Glean, amber, Rovo), tools that connect knowledge for your AI agents, and tools that capture what your experts know (wingmaite). Often one tool to write in and one from another group is enough. Scibly is our product; it sits in the third and fourth groups.
Sciblyour productReads meetings, Interviews, what agents save and the tools each person connects, and links it all into one knowledge graph.
- Strength
- Answers in ChatGPT, Claude, Copilot and Cursor, with a source for every statement; hosted in the EU.
- Where it stops
- No editor: you keep writing in Notion or Google Docs.
Where are the limits of each group?
- Write. Notion, Confluence or a wiki hold only what someone writes down.
- Search. Glean, amber and Rovo find what's already in your tools. They don't find what was only said on a call.
- Connect for agents. An agent, an AI such as Claude Code or Copilot that looks things up in your tools itself, needs your team's knowledge in the session. By now almost every tool has its own MCP server for this, which knows only that one tool. Scibly links the knowledge across all of them. You keep writing in Notion or Google Docs; Scibly reads those pages too.
- Capture expert knowledge. wingmaite and Scibly's Interview, a conversation with an AI, ask your experts about what's written nowhere. Scibly asks precisely about what the team's knowledge of a topic still lacks.
What should you look for when you compare?
- What the tool does. Two tools from the same group are usually one too many.
- Where the answer arrives. In a chat of its own, or in the AI tools your team already uses.
- What was never written down. Ask how knowledge from calls and from your experts' heads gets in.
- Where the data lives. In the EU, in your own cloud, or on your own server with open source.
How Scibly differs from each of these tools is in the comparison.
