Both support AI. They optimize for different work.
Notion is a workspace for docs, databases, project tracking, wikis, and now AI-connected workflows through Notion MCP. For many teams, that breadth is exactly the point.
Hjarni is narrower on purpose. It is built around notes, shared knowledge, and making that knowledge easy for AI assistants to use without also becoming your project management stack.
Structured workspace versus focused knowledge base
Notion is powerful because it lets you model work: databases, properties, views, and connected pages. That flexibility is useful for humans, but it can also make the system heavier to maintain and more variable for AI workflows, especially when teams use very different page structures.
Hjarni makes a simpler bet. Plain Markdown notes, folders, and folder-level AI instructions keep the shape of the system easier to reason about. The tradeoff is a smaller feature set and a folder-based workflow.
A concrete workflow difference
Imagine a product team reviewing customer feedback. In Notion, you might collect that information in a database, connect AI through Notion MCP, and generate summaries or specs tied to that workspace. In Hjarni, the same team might keep interview notes, meeting takeaways, and synthesis docs in one folder, then ask Claude to find recurring pain points and draft a short summary using that folder's instructions.
Both can support useful AI workflows. The difference is whether you want a general workspace that also does AI, or a note system designed around AI from the start.
Use Notion when you want a workspace. Use Hjarni when you want a simpler knowledge base that is built around AI behavior.
When Notion is the better fit
If you need docs, databases, project planning, company wikis, or one place to run operations, Notion is usually the stronger choice. It is broader, more configurable, and more established for that category.
When teams pick Hjarni instead
The case for Hjarni is not "Notion has no AI." It clearly does. The case is that some teams want fewer moving parts, cleaner note formats, and AI behavior shaped by folder context instead of a larger workspace model.
That can be especially appealing when your valuable knowledge lives in notes, research, retros, briefs, and meeting history more than in dashboards or databases.
Your notes come out the way they went in
One question rarely asked until you try to leave: what does an export actually look like? Notion can export to Markdown, but it was built as a block-and-database workspace, not a Markdown tool. Notion documents Markdown exports for non-database pages, CSV for full-page databases, and HTML for callouts. It also warns that reuploading an export does not instantly recreate a workspace. Check a sample export against the content and structure you need to preserve.
Hjarni starts from the other end. Every note is plain Markdown from the moment you write it, so the export is the source format. You receive the note text as Markdown files. Check the export separately for attachments and any app-specific settings you need to carry into another tool. That portability also matters day to day, because the same plain text is what your AI reads through MCP.
Practical objections
If someone is evaluating both seriously, they will ask about migration, pricing, permissions, and data portability. Those questions matter. Notion wins on breadth; Hjarni focuses on Markdown notes and folders. The better choice depends on whether you are trying to run a workspace or give AI a cleaner shared memory.