Why Hjarni instead of Custom GPTs or ChatGPT memory
Custom GPTs with knowledge files were the old workaround. They snapshot a moment in time and go stale the second you edit a note. Hjarni keeps the notes live, so ChatGPT reads the current version on every question, including the edit you made five minutes ago.
ChatGPT's built-in memory is good for short, personal facts that the model decides to remember. Hjarni is for the larger surface: actual notes, decisions, and source material that you write deliberately, organize into folders, and edit when reality changes. The two are complementary, not competing.
ChatGPT Projects scope a thread to a workspace. Hjarni works across projects: the same knowledge base shows up in a Projects thread, a regular chat, and Claude or Cursor over MCP. You write notes once and every interface reads them.