ChatGPT's built-in memory is personal and per-account — great for you, but it isn't your team's, it isn't sourced, and your other agents can't see it. Daiton gives ChatGPT one shared, sourced company memory over MCP: every agent and teammate works from the same facts, each with receipts.
ChatGPT's native memory is ChatGPT memory (personal, per-account) — useful, but local and single-tool:
Connect Daiton's MCP server to ChatGPT. From then on, ChatGPT 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 | ChatGPT memory (personal, per-account), per project | Connect once over MCP |
No — ChatGPT's memory is personal and per-account. Daiton gives ChatGPT a shared, sourced company memory over MCP that your whole team and your other agents read and write.
Connect Daiton to ChatGPT over MCP. It recalls sourced facts from one shared company brain and writes back what it learns — shared with your team and your other agents.
Point them all at Daiton over MCP. They share one sourced memory, so a fact known in ChatGPT is available in your coding agents — and vice versa.
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 Gemini · see the full comparison →
One shared, sourced brain your agents and your team work from — over MCP. Plug in; it discovers the rest.