Both are useful. The boundary is the real difference.
Claude Projects gives you a self-contained workspace with chats, uploaded knowledge, and project instructions. That is genuinely useful when work belongs together and mostly stays together.
Hjarni is designed for a different job: keeping notes and knowledge available across contexts, folders, and AI tools without rebuilding the same memory inside each project.
Project context versus reusable memory
Claude Projects works best when the scope is clear: a product launch, a research stream, a client account. But many teams discover that useful knowledge leaks across those boundaries. Meeting notes affect multiple initiatives. Customer research informs several projects at once. Reusing that context across separate projects can become manual.
Hjarni leans into that cross-cutting reality. A note can stay in the knowledge base and still be useful to many later conversations, no matter which AI assistant you open next.
Claude Projects is strong for focused work inside Claude. Hjarni is stronger when your knowledge needs to outlive any one project or assistant.
A concrete workflow difference
Suppose you are preparing a launch. In Claude Projects, you can upload the brief, design notes, and research docs, then keep a set of focused launch conversations in one place. That is a great fit for bounded work.
In Hjarni, you would keep launch notes alongside the broader product knowledge they depend on, then let Claude or another assistant search across that history, draft a summary, and write the result back without creating a new knowledge silo.
When Claude Projects is the better fit
If Claude is your main assistant, your work naturally breaks into discrete projects, and you like uploading knowledge directly into those spaces, Claude Projects is a strong default. It is simpler than adding another tool.
When Hjarni starts to make more sense
The argument for Hjarni gets stronger when your notes need to work across multiple projects, multiple teammates, or multiple AI tools. It is also stronger when you want reusable folder-level AI instructions rather than rewriting or duplicating project instructions every time.
That is the daily reality for founders and solo operators. Your positioning, customer interviews, and pricing decisions are not a project. They are the context behind every project. Keep them in one knowledge base and every conversation, in Claude or ChatGPT, starts already briefed.
Read-only knowledge versus a memory your AI can write to
There is a quieter difference that shows up once you use either one daily. In Claude Projects, the uploaded knowledge is read-only. Claude can read the files you added, but it cannot change them. When a fact needs updating, you regenerate the text, download it, delete the old file from the project, and upload the replacement. The knowledge is something you maintain by hand.
Hjarni is a memory the assistant can write to. Through the built-in MCP server, Claude can create a note or update an existing one in a single step, so a decision it just helped you reach is saved back without the download-and-re-upload loop. The next conversation, in Claude or any other assistant, reads the updated note.
Practical tradeoffs
Evaluators will care about pricing, portability, team sharing, and whether they want their knowledge tied to one assistant. Claude Projects wins on convenience inside Claude. Hjarni wins on persistence and cross-tool reuse.