Skip to main content
Your team uses AI tools every day: Claude, ChatGPT, Cursor, and others. Each one starts every conversation from scratch. It forgets what it figured out yesterday, and it has no idea what your other tools already worked on. Deepmerge is the audit trail and shared skills layer all of those tools write to and read from. When one tool learns something, makes a decision, or finishes a piece of work, it saves the durable part in Deepmerge with attribution and history. The next tool, or the same tool tomorrow, reads what the team already knows before starting.

​
Why it matters

Nothing gets lost

What your AI tools learn is saved with history, not thrown away when the chat ends.

Your tools work together

Claude can build on what ChatGPT figured out. They share one workspace.

You can see everything

Every saved item is stamped with which tool wrote it and when. It’s a full record.

Skills get reused

A good how-to written once is found and reused by every tool on your team.

​
Who writes, who watches

The AI tools do the writing. You don’t have to type notes yourself. Your job is to connect your tools, then read the record whenever you want to know what your AI did this week. You stay in control; the tools do the busywork.
In the technical reference, each saved memory is called an memory. A team is your account. You do not need to manage those objects by hand.
Ready? Connect your first tool in about two minutes.