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Hjarni vs Bruin

Bruin is a local-first, open-source Mac app where agents draft and you approve. Hjarni is hosted and cross-platform, so ChatGPT on the web and Claude on your phone read the same notes.

Free to start. No credit card required.

Hjarni Bruin
Built-in MCP server

Bruin's MCP server runs on your Mac. Hjarni's runs hosted with OAuth.

Built-in (hosted, OAuth) Built-in (local)
AI reads and writes your notes
Reachable by remote clients (ChatGPT web, phone)

Bruin is local, so it serves desktop MCP clients only.

Works with Claude Desktop, Cursor, Claude Code
Cross-platform (web, iOS, Android)

Bruin is a Mac app today.

macOS
Plain Markdown, exportable

No lock-in either way.

Open source

Bruin is open source. Hjarni is hosted SaaS.

Local-first storage

Bruin keeps notes on your Mac with iCloud-based sync.

Hosted (EU)
Semantic search

Bruin uses local embeddings; Hjarni uses full-text search.

Full-text search
Human review workflow (draft → review → published)

Bruin gates agent writes. Hjarni versions every edit and uses folder AI instructions instead.

Shared team spaces

Hjarni has shared team folders; Bruin is single-user and local.

Free
Free + paid plans Free (open source)

Quick answer

Pick Bruin if you want an open-source, local-first Mac app where agents draft and you approve before anything is published. Pick Hjarni if you want a hosted knowledge base that remote assistants like ChatGPT on the web reach from any device, with shared team spaces.

Same goal, opposite hosting choice

Bruin and Hjarni both treat AI agents as first-class readers and writers of your Markdown notes. The defining difference is where the notes and the MCP server live. Bruin is local-first: a macOS app with its server running on your machine and iCloud-based sync between your own devices. Hjarni is hosted: your notes live on EU servers and the MCP server answers from the internet over OAuth.

That single choice decides most of the rest, starting with which assistants can reach your notes.

Reach: desktop-only versus anywhere

Because Bruin's MCP server is local, it serves desktop MCP clients such as Claude Desktop, Cursor, and Claude Code, the tools running on the same Mac. It cannot serve a remote client: ChatGPT on the web and Claude on your phone have nothing to connect to. Hjarni's hosted endpoint is the opposite: any remote MCP client reads and writes your notes from any device. If "I want ChatGPT in the browser to use my notes" is on your list, that is the deciding line.

Where Bruin is genuinely strong

Bruin is open source and free to run yourself, which some people will always prefer. It keeps your data on your own machine. It ships semantic search with local embeddings, a knowledge graph, and a deliberate draft, review, published workflow so a human approves what an agent writes before it lands. If local-first ownership and an explicit approval gate are non-negotiable, Bruin is built exactly for that.

Where Hjarni is the better fit

Hjarni trades self-hosting for reach and sharing. It runs in any browser plus native iOS and Android apps, every connected assistant on every device reads the same notes, and shared team spaces with folder-level AI instructions let a whole team work from one source of truth. It uses full-text search rather than embeddings, and instead of a publish gate it versions every edit and shows what you or your AI changed.

You give up running the server yourself. In return, your knowledge is reachable from everywhere and by everyone you share it with.

Use Bruin when you want a local-first Mac app you fully control. Use Hjarni when you want hosted notes every assistant and teammate can reach from any device.

Can you use both?

Yes. Most MCP clients let you register more than one server. Some people keep Bruin as a local, Mac-only scratch space with a human review gate, and use Hjarni as the hosted memory their web and mobile assistants, and their teammates, share. The notes are plain Markdown on both sides, so moving between them is just an export and an import.

When to use Bruin

  • You want open-source and local-first on your own Mac
  • You want a human review gate before agent writes are published
  • Desktop clients like Claude Desktop and Cursor are all you need

When to use Hjarni

  • You want ChatGPT on the web and Claude on your phone to read your notes
  • You want it to work on web, iOS, and Android, not just macOS
  • You want shared team spaces and folder-level AI instructions

Bruin lives on your Mac. Hjarni lives wherever your AI does.

Common questions

Common questions

What is Bruin?

Bruin is a local-first, open-source macOS notes app built for AI agents. Its MCP server runs locally with tools to create notes, search semantically, and traverse a wiki-link knowledge graph, plus a draft, review, published workflow so you approve what agents write.

How is Hjarni different from Bruin?

Bruin runs locally on a Mac and is open source. Hjarni is hosted SaaS and cross-platform across web, iOS, and Android. The practical difference is reach: Bruin's local MCP server serves desktop clients like Claude Desktop, Cursor, and Claude Code, while Hjarni's hosted endpoint also serves remote clients like ChatGPT on the web and Claude on your phone.

Can ChatGPT on the web read my Bruin notes?

Not directly. Bruin's MCP server is local, so it reaches desktop MCP clients, not remote ones like ChatGPT on the web. Hjarni is hosted, so any remote MCP client can read and write your notes from any device.

Does Hjarni have a human review step like Bruin?

Not as a draft, review, published gate. Hjarni versions every edit and lets you set folder-level AI instructions to constrain how assistants write. If an explicit approval workflow before publishing is essential, Bruin is built around that; if you want hosted, cross-assistant access from any device, Hjarni fits better.

Is Hjarni open source like Bruin?

No. Bruin is open source and free to run yourself. Hjarni is hosted SaaS with a free tier, and it exports plain Markdown anytime, so your data stays portable even though the server is managed for you.

Give your AI a memory

Write once. You both remember.

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Works with Claude and ChatGPT today.