Compare
Rafter, compared honestly
Every team already keeps its AI knowledge somewhere — a Claude Project, a repo, a Notion page. Each comparison starts with where that alternative genuinely wins, because sometimes it does.
vs Claude Projects
A workstream's documents, or how your whole team works.
Read →vs a git repo
CLAUDE.md and docs in git — right for the repo, wrong for the team.
Read →vs a Notion prompt library
A page you copy from, or a brain your tools read.
Read →How to choose
The three alternatives are not really competitors to each other — they fail in different places, and which one you are outgrowing tells you whether Rafter is the answer yet. A rough decision rule:
- The knowledge belongs to one codebase.Keep it in the repo. A CLAUDE.md next to the code it describes is reviewed with that code and can never be stale in a way nobody notices.
- The knowledge belongs to one workstream, and one person works on it.A Claude Project is genuinely simpler. Rafter earns its place when a second person needs the same context, or a second tool does.
- The knowledge is written for people to read.Notion or a wiki is the right home. Prose written for humans is not the same artifact as an instruction an agent can follow.
- More than one person, more than one AI tool, and it outlives the chat.That is the case Rafter is built for — and the one where the alternatives all turn into copy-paste.
What the alternatives have in common
Every one of them is a store that a person reads and then re-pastes into a tool. That is the step that quietly breaks: the context reaches whichever teammate remembered to copy it, into whichever tool they happened to have open, in whatever state it was in that morning.
Rafter is read by the tool itself. It is an MCP server, so Claude, ChatGPT, Cursor, Claude Code and Codex query it directly — the same skills and memories, the same versions, for everyone, without anybody remembering to paste anything. That is the only real difference, and every comparison below is a variation on it.
The fastest comparison is trying it in your own tool.From $29 per user — see pricing.
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