GitHub Copilot leans on a static copilot-instructions.md file and limited session context. Daiton gives Copilot one persistent, sourced memory over MCP: it remembers across sessions, shares the same facts with Claude Code, Cursor and ChatGPT, and carries receipts on every fact.
GitHub Copilot's native memory is copilot-instructions.md — useful, but local and single-tool:
Connect Daiton's MCP server to GitHub Copilot. From then on, GitHub Copilot 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 | copilot-instructions.md, per project | Connect once over MCP |
Copilot reads a static .github/copilot-instructions.md for standing guidance and uses limited in-session context, but it doesn't persist learned facts across sessions. Daiton adds persistent, sourced memory over MCP that survives sessions and is shared with your other agents.
Connect Daiton's MCP server to Copilot. It recalls sourced facts and writes back what it learns to one shared company brain — so the context persists and your other agents can use it too.
Point all of them at Daiton over MCP. They share one sourced memory, so a fact learned in any agent is available in the others — no copy-paste.
Daiton works with every agent — Daiton for Claude Code · Daiton for Cursor · 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.