Ditto

Your AI agents act like they just met you. Ditto fixes that.

You have months of chat logs with Claude / Codex / Cursor sitting on your disk.
It is the most honest record of how you actually think, and you are deleting it.
Ditto mines it into a you.md your agents read before every task.

Not Memory

Memory is what you explicitly told the model.

Ditto mines what your work already proved about you: what you reject, what "done" means, when you ask for proof, how you talk when you're actually working, and the agent behaviors that make you stop the task.

That's why it reads raw session logs, not your CLAUDE.md or rules file.

A Real Run

I asked an agent to help me launch this repo. One line: "help me post ditto on reddit." Same model, once cold, once with my Ditto profile loaded.

What It Finds

The kind of profile Ditto builds, ranked by how many of the 20 agents independently pulled each trait. What 15+ of them agree on is the real you. Your agent reads this before every task.

done means it runs live. never trust "done" off a code edit. show it working first.

fix the one thing. rewriting or "cleaning up" code that isn't the problem gets rejected every time.

builds faster than they understand what they built — then asks the agent to explain their own system back.

voice: lowercase, short, "you get me", no walls of text, no hype.

gets frustrated by repeating the same ask until it lands, not by escalating.

Nobody wrote those rules down. 20 agents pulled them out of one person's own history and agreed on them.

This is an example. Yours is mined from your logs and will read nothing like it.

What It Does

1. Reads your local session logs and keeps only the words you typed (strips all the tool output, file dumps, and pasted errors).
2. Redacts secrets + personal info by default, before anything is written or seen by an agent.
3. Splits it into chunks and hands you a prompt to fan a coding agent across them, then merge into one you.md.

That you.md is a skill/context file. Drop it in .claude/skills/, .codex/skills/, your AGENTS.md, or Cursor rules, and every agent starts already knowing how you work.

Quickstart

git clone https://github.com/ohad6k/ditto
cd ditto
python ditto.py --dry-run  # preview counts + output paths without writing files.
python ditto.py            # auto-detects Codex + Claude logs. no deps, stdlib only.

What you can audit before running it:

• ditto.py is the extractor. stdlib only, no network calls.
• Redaction happens before text is written to ditto-out/.
• The mining prompt is plain markdown: MINING_PROMPT.md.
• The full security model is here: SECURITY.md.

You get:

sessions: 1,656
your messages: 7,678
tokens (approx): 2,950,000
secrets/PII redacted: 41
wrote: ditto-out/you-corpus.txt  +  20 chunks in ditto-out/chunks/

Then open your coding agent (Claude Code / Codex / Cursor), paste MINING_PROMPT.md, point it at ditto-out/chunks/, and let it build your you.md. Example output: examples/you.md.

Install Your you.md (Any Agent)

Your you.md is just a context file. Drop it where your agent already looks and it reads it before every task:

Ditto writes the you.md with the right frontmatter already, so on Claude Code, Codex, and Cursor it registers as a skill the moment you drop it in - nothing to wire. For Codex, use the native skill path above if you want it everywhere; use AGENTS.md if you only want it in one repo. That's it, no plugin, no config.

Using a coding agent? Point it at this repo and say "run ditto and install my you.md" - the skill in skill/ walks it through the whole flow (extract, mine, write, place the file) on its own. Works in Claude Code, Cursor, Codex, and Gemini.

Copy/paste version:

run ditto on my local Claude/Codex logs, mine a you.md from the chunks, install it for my current agent, and show me the session/message/token/redaction counts before claiming it worked.

Manual install:

python ditto.py --install you.md --target codex
python ditto.py --install you.md --target claude
python ditto.py --install you.md --target cursor --repo .
python ditto.py --install you.md --target agents --repo .
python ditto.py --install you.md --target gemini --repo .

Privacy (Read This)

• 100% local. Ditto makes zero network calls. Your logs never leave your machine. It's plain Python; read the file.
• Redaction is on by default. API keys, tokens, JWTs, emails, phone numbers, IPs get stripped before your text hits disk or an agent. (--no-redact exists; don't use it.)
• The mining step runs in your coding agent, on your machine. Nothing gets uploaded unless you choose to.

How It Works

Your logs are ~95% noise (tool output, file contents, diffs). The signal is the small slice of words you actually typed. Ditto isolates that, then uses an agent fan-out so no single context has to hold all of it: each agent reads a chunk and pulls how you decide, what you reject, how you talk, where you get stuck. Traits that show up across many chunks are the real you. One-offs are noise. That ranking is the whole trick.

It mines your raw sessions, not your CLAUDE.md or rules file. That's the entire point - anything can summarize the rules you already wrote (that's what /init does). Ditto surfaces the stuff you never wrote down, straight from how you actually worked. If a run builds a profile without reading your real .jsonl logs, it isn't Ditto - it's just your rules file reflected back.

Limits (Being Honest)

• It models how you work and talk, not your knowledge. It won't make an agent smarter, it makes it act more like you.
• Garbage in, garbage out: if your logs are 3 sessions long, the profile is thin. It shines around months of history.
• It reads Codex (~/.codex/sessions) and Claude Code (~/.claude/projects) jsonl out of the box. Other tools: point --path at a folder of jsonl.

Roadmap

Next up: one-command installer, more log sources, and counterweight profiles that use your you.md to challenge you instead of mimic you.

See ROADMAP.md.

Community

Building this in the open.

If you run it, don't post your full you.md. Post the weirdest thing it found about how you work:

• Share what Ditto found in your logs
• discord.gg/VNnMq2U5r

License

MIT. It's yours. If you build something on it, I'd love to see it.

Made by @ohad6k while building in public.