Cursor's context is session-scoped, and Cursor Rules are static text that doesn't learn. Daiton gives Cursor one persistent, sourced memory over MCP: it remembers across chats and sessions, shares the same facts with Claude Code, Copilot and ChatGPT, and keeps receipts on every fact.
Cursor's native memory is Cursor Rules (.cursorrules) — useful, but local and single-tool:
Connect Daiton's MCP server to Cursor. From then on, Cursor works from one shared, sourced company brain instead of a blank slate:
| Compare | Native | With Daiton |
|---|---|---|
| Persists across sessions | Resets / manual | Yes — automatic |
| Shared across your other agents | No — single tool | Yes — Cursor, Claude, Copilot, ChatGPT |
| Sourced & correctable | Plain text | Every fact has receipts |
| Setup | Cursor Rules (.cursorrules), per project | Connect once over MCP |
Cursor indexes your codebase and reads your Cursor Rules, but conversational context is largely session-scoped and its rules are static text. Daiton adds persistent, sourced memory over MCP that survives sessions and is shared with your other agents.
Connect Daiton's MCP server to Cursor. Cursor recalls sourced facts and writes back what it learns to one shared company brain — so context carries across sessions and tools instead of resetting.
Point both at Daiton over MCP. They read and write the same sourced memory, so what Cursor learns is available in Claude Code — and vice versa — with no handoff file.
Daiton works with every agent — Daiton for Claude Code · Daiton for GitHub Copilot · Daiton for Windsurf · Daiton for Cline · Daiton for Aider · Daiton for ChatGPT · Daiton for Gemini · see the full comparison →
One shared, sourced brain your agents and your team work from — over MCP. Plug in; it discovers the rest.