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's native memory is GEMINI.md context — useful, but local and single-tool:
Connect Daiton's MCP server to Gemini. From then on, Gemini 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 | GEMINI.md context, per project | Connect once over MCP |
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.
Daiton works with every agent — 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 →
One shared, sourced brain your agents and your team work from — over MCP. Plug in; it discovers the rest.