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ditto
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ditto

Active·★ 298·MIT·Updated 2026-10-12

Ditto is a tool that analyzes your past AI agent coding sessions to automatically create a personalized working profile. This profile helps AI agents understand your specific work habits, design preferences, and writing style, making them act more like you.

ditto sits in the Memory & Context category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward Mines real coding-agent session logs (e.g., Claude Code, Codex, Copilot CLI) to extract implicit user behaviors.. A representative use case is Customize AI agents to understand your definition of 'done,' preferred debugging methods, and UI design principles.. The listed license is MIT. GitHub stars are currently 298. Relevant tags include AI Agents, Personalization.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool.

#AI Agents#Personalization#Context Management#Session Mining#Developer Tools#LLM Integration#Profiling#Behavioral Learning
$ Install
$ npx skills add ohad6k/ditto@ditto
↗ Visit site★ GitHub
01

Features

01Mines real coding-agent session logs (e.g., Claude Code, Codex, Copilot CLI) to extract implicit user behaviors.
02Generates a private, local working profile (`you.md`) that AI agents read before every task.
03Distinguishes and loads separate layers for work, design, and writing profiles based on the task.
04Ensures privacy by processing logs locally with best-effort redaction of secrets.
05Renders a shareable 'profile card' summarizing key laws and traits.
02

Why choose it

+Mines real coding-agent session logs (e.g., Claude Code, Codex, Copilot CLI) to extract implicit user behaviors.
+Generates a private, local working profile (`you.md`) that AI agents read before every task.
+Customize AI agents to understand your definition of 'done,' preferred debugging methods, and UI design principles.
+Supports 6 platforms or runtime environments.
03

Trade-offs

!The final decision should still be made through side-by-side comparison with similar tools.
04

Compatibility

Python
Runtime
Verified via docs
Claude Code
Agent Platform
Verified via docs
Codex
Agent Platform
Verified via docs
Cursor
Agent Platform
Verified via docs
Gemini
Agent Platform
Verified via docs
MCP
Protocol
Verified via docs
05

Quick start

1
$ npx skills add ohad6k/ditto@ditto
06

Use cases

↳Customize AI agents to understand your definition of 'done,' preferred debugging methods, and UI design principles.
↳Improve agent communication to match your actual working voice and avoid repetitive explanations.
↳Enhance agent rejections to align with what you typically reject on sight (e.g., 'fix the one thing,' not rewriting).
↳Develop a consistent persona for multi-agent systems without explicitly writing down all rules.
07

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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07Alternatives
ohad6k /
ditto
↗

Mine your Claude Code and Codex logs into a local you.md agent profile.

298MIT
Last commit1w ago
StatusActive
CategoryMemory & Context
Links
Documentation↗Discussion↗Issues↗Releases↗
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