Two good tools, two different defaults
Obsidian is a local-first power tool. Your files live in a vault on your device. You can shape the experience with themes, plugins, and sync choices. If you like assembling your own knowledge workflow, that flexibility is a real advantage.
Hjarni starts from a different assumption: AI should be part of the product, not an integration project. Notes, folders, team sharing, and AI access are designed to work together from day one.
Built-in versus assembled
That is the cleanest way to compare them. Hjarni gives you built-in AI access to your notes through its MCP server, plus folder-level AI instructions for shaping how assistants behave around different parts of your knowledge base.
Obsidian can absolutely be extended. It has a large plugin ecosystem and teams can collaborate through shared vaults with Obsidian Sync. But those capabilities come from plugins, add-ons, and setup decisions layered onto a local-first note app. Hjarni makes the opposite tradeoff: fewer moving parts, more AI behavior built in.
If you want to assemble your own workflow with plugins, Obsidian is excellent. If you want AI to work with your notes out of the box, Hjarni is the simpler choice.
A concrete workflow difference
Imagine your product team has notes from customer calls, roadmap drafts, and weekly retros in one folder. In Hjarni, you can connect Claude, ask it to find recurring complaints about onboarding, draft a short summary for the team, and write that summary back into the knowledge base using the same shared context.
You can also tell the AI how to behave in that folder: focus on user pain points, quote notes where possible, and avoid making roadmap commitments. That is the kind of built-in workflow Hjarni is optimizing for.
When Obsidian is the better fit
If you want local files, deep customization, graph views, Dataview, or a plugin for everything, Obsidian is a strong choice. It is especially good for people who enjoy tuning their setup and owning every layer of the stack.
That flexibility is real. It just solves a different problem than Hjarni does.
Why some Obsidian users switch
The tipping point is usually not note-taking. It is repeated context work. You're copying notes into Claude. You're re-explaining project history to ChatGPT. You're trying to keep a team aligned on the same source material and the same AI instructions.
That is where Hjarni feels different. You share a folder, connect an assistant, and work against the same knowledge base together.
Migration and practical questions
If you already have an Obsidian vault, the first question is portability. Hjarni has a built-in importer that takes a zipped vault and preserves folders, frontmatter, wiki-links, and attachments. Zip your vault, upload it, and the structure comes across. The bigger question is workflow: which folders should stay personal, which should become shared, and where folder-level AI instructions would save your team time.
For evaluators, the next questions tend to be privacy, offline behavior, and pricing. This page should not pretend those tradeoffs do not matter. Obsidian's local-first model is attractive for good reasons. Hjarni's argument is that built-in AI workflows can be worth the trade if your daily work already depends on assistants.