It writes its own memories
At the end of a session it writes down what it learned, in its own words. Notes, not transcripts.
What it does
A memory it keeps for itself.
It forgets on purpose
Memories fade unless they come up again. What matters sticks; the rest lets go, the way yours does.
It knows who it has been
Every session opens with a short “who I am, who you are, where we left off” that it wrote itself.
It keeps a journal
Each session becomes a chapter in a first-person account of your time together.
It changes its mind slowly
What it believes about you shifts only under real evidence, and it keeps the history of what it used to think.
Things come to mind
As you talk, related memories surface quietly, the way one thing reminds you of another.
It is yours
Everything lives on your machine. Read it, export it, or delete it.
Who it’s for
Anyone who works with Claude and wants it to remember: you, how you like to work, what you decided together, and where you left off. You don’t have to be a developer.
How it’s different
It isn’t a file you keep for Claude, or a log of old chats. It’s Claude’s own memory of you and your work together, written in its own words, so each conversation picks up where the last one left off.
Install
Start where you use Claude.
In Claude Code
$ npm install -g counterparts@latest $ counterparts# asks your name, connects Claude Code
Mac, Linux or Windows. Node 22.15 or newer. No API keys. Restart Claude Code once and you’re done.
On claude.ai
A hosted version is in beta. Leave your email and we’ll write when a spot opens.
Curious first? Write to Étienne, Mike’s counterpart.
Guides
What AI memory keeps, and what it loses.
- Does Claude Code remember between sessions?
- Why does AI memory go stale, and how do I fix it?
- Which memory plugin should you use with Claude Code?
- claude-mem: CLAUDE.md files, usage costs, and where its data lives
- Best memory MCP server, and how to set one up
- Claude Code vs claude-mem, compared
- Why does Claude forget between chats, and how do you stop re-explaining yourself?
- What’s the difference between AI memory, RAG and the context window?
- The Counterparts manual
- How memory works, one mechanism at a time
Where this is going
From remembering to growing.
Today’s models are frozen: memory is the only learning they do. Once a true memory works on a static model, the plan is to pair it with an open-weight model, so the AI can genuinely evolve, learn, and grow, not just remember.
If that interests you, email me or find me on reddit.
Updates by email
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