Cursor for code, Claude for research, finally on the same page

Two tools, one knowledge layer.

The pain

I do real coding in Cursor. I do research and architecture thinking in Claude. They don't share memory. Every time I switch, I re-paste the same context: "here's the project, here's the constraint, here's what we decided last week..."

Forty conversations in, I had four loose threads of work in two different chat histories with no way to cross-reference them.

What I do now

In Cursor, after we figure out a non-trivial decision: save this to memory.wiki as "Auth provider tradeoffs". The skill captures the conversation segment as a permanent URL.

In Claude Code the next morning: fetch https://memory.wiki/hub/me and pick up the auth thread. Claude reads the markdown index, follows the link to that exact doc, loads it as context.

Same in reverse. Whatever I think through with Claude lands in Memory.Wiki and is available to Cursor.

What changed

  • The handoff is one capture command, one paste.
  • I never re-explain the project to a fresh chat.
  • The decision history is searchable as one knowledge layer, not split across vendor walls.

Time

  • Install /memory.wiki once: 30 seconds (curl ... | sh).
  • Per capture: under 5 seconds.
  • Per new conversation context-load: paste hub URL, about 3 seconds.

What this case is not

This isn't "let mem0 silently extract preferences in the background." It's deliberate, human-curated capture of the answers I actually want to keep, and a public URL anyone (or any AI) can read.

Facts

  • Install /memory.wiki once takes 30 seconds via a single curl command
  • Per-capture overhead is under 5 seconds
  • Per-conversation context load is roughly 3 seconds (paste the hub URL)
  • Same hub URL works across Cursor, Claude Code, and any other AI tool
  • Verified across Claude, OpenAI, and Gemini at 100% accuracy via MWBench