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 provides Cursor Rules (.cursorrules). Check its scope before adding another service:
Daiton connects company knowledge to Cursor over MCP. Confirm your client supports the required connection and agree which sources the agent can access:
| Compare | Native | With Daiton |
|---|---|---|
| Persists across sessions | Check the tool and configuration | Shared company memory |
| Sharing across tools | Depends on your workflow | Across connected, authorized agents |
| Sources and corrections | Check the tool and configuration | Source-linked facts and corrections |
| Setup | Cursor Rules (.cursorrules) | MCP connection and access configuration |
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.
Explore the connection for each tool: 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 →
Use the pilot to test shared context against the questions your team actually needs to answer.