Gemini reads a GEMINI.md context file and keeps session context, but it's local to Gemini and session-scoped. Daiton gives Gemini one persistent, sourced memory over MCP: it remembers across sessions, shares the same facts with Claude Code, Cursor and Copilot, and keeps receipts on every fact.
Gemini provides GEMINI.md context. Check its scope before adding another service:
Daiton connects company knowledge to Gemini 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 | GEMINI.md context | MCP connection and access configuration |
Gemini (and the Gemini CLI) reads a GEMINI.md context file and keeps in-session context, but that's local to Gemini and session-scoped. Daiton adds persistent, sourced memory over MCP that survives sessions and is shared with your other agents.
Connect Daiton's MCP server to Gemini. It recalls sourced facts and writes back what it learns to one shared company brain — so context carries across sessions and tools.
Point them at Daiton over MCP. They read and write the same sourced memory, so a fact learned in Gemini is available in your other agents — no handoff file.
Explore the connection for each tool: Daiton for Claude Code · Daiton for Cursor · Daiton for GitHub Copilot · Daiton for Windsurf · Daiton for Cline · Daiton for Aider · Daiton for ChatGPT · see the full comparison →
Use the pilot to test shared context against the questions your team actually needs to answer.