A comparison · ~6 min read
Konshus vs Claude Projects — Two Different Kinds of Memory
Claude Projects are one of the best things Anthropic ships. They quietly solve the "every new conversation starts from zero" problem inside Claude. Konshus solves a different problem — what happens when the conversation needs to live outside Claude, or across every model you use, or longer than any single provider's memory roadmap. Here's how the two compare and how they stack.
The short version
Claude Projects are a container inside Claude. You attach files, write project-level instructions, and every conversation in that project inherits both. Brilliant for scoped work — a manuscript, a codebase, an ongoing research thread.
Konshus is a separate vault that holds the version of you that any model could use. It ingests Claude exports, ChatGPT exports, journals, voice, documents, and social archives, distills them into structured atoms, and exports a portable persona.
Projects = body of work. Konshus = body of self.
What Claude Projects are genuinely good at
When the work is scoped — a book, a codebase, a long research thread — Projects are excellent. Files persist. Custom instructions tune Claude's behavior for that specific space. Conversations inside the project don't have to keep re-explaining context. For project-shaped work, Projects are the right answer.
The limits show up when work doesn't fit in one project, when context needs to follow you outside Claude, or when you want a version of yourself that isn't tied to any one tool's roadmap.
What Konshus does that Claude Projects can't
Crosses providers. A Konshus persona pastes into Claude, ChatGPT, Gemini, or any other model's system prompt. The same context, everywhere you work.
Crosses topics. Projects isolate by design. Konshus unifies by design. The vault holds your writing voice, your working style, your stated identity, and the patterns that show up across years of conversation — all in one place, queryable by you.
Crosses sources. Projects take files. Konshus takes ChatGPT exports, Claude exports, journals, voice memos, documents, and Facebook / Instagram / LinkedIn archive ZIPs. Years of context that were never going to land in a single Claude project become part of the vault.
Outlasts the tool. When Claude changes, the vault doesn't notice. When a model is deprecated, your context is unaffected. When you want to leave a provider entirely, you walk out with your memory in hand.
A typical stack
- You keep your Claude subscription. Projects stay where they are — manuscript, codebase, research thread.
- You import your Claude export into Konshus. The vault distills it into atoms.
- You optionally add ChatGPT exports, journals, voice, documents, social archives. The vault unifies them.
- When a Project would benefit from broader context, you paste a Whisper or Briefing into its instructions.
- When you start a fresh thread in Claude (or any other model), you paste the same Briefing. Every assistant acts like it knows you.
The Project handles the scope. Konshus handles the self. They stack cleanly. Related: Konshus vs ChatGPT Memory and best AI memory systems.