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isoshimodo/ai-data-extractor

Language modelsPython#ai-data#claude-code#cursor-ai#data-extraction#data-extractor
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Free open-source extractor for AI coding assistant chat histories. Supports Claude Code, Cursor, Windsurf, Aider, Cline/Roo Code, and more.

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About the project

Python tool that extracts local chat histories from AI coding assistants (Claude Code, Cursor, Windsurf, Aider, Cline, etc.) into a unified JSONL format. Useful for backups, analytics, or preparing fine-tuning data.

Useful for
  • Extract chat history from Cursor and Claude Code into one JSONL backup
  • Build a dataset from your assistant dialogs for fine-tuning
  • Preview available sources with --list without extracting data

README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.

5.4 Early signal Magnitude out of 10 — how fast interest is growing, not a quality score.

Star growth looks organic. Data as of October 5, 2026, 04:25 UTC.

The star-growth assessment does not verify whether the project is safe to run.

Stars per day

060120September 27, 2026October 5, 2026

Bars show daily stars; the line is a moving average of the available history. Short histories do not yet establish a reliable usual pace. Red marks spike days.

Why it’s trending

  • 0 stars so far today, about 71 expected by the end of the day.
  • The spike has held for 2 days in a row — not a one-off blip.
  • The repository is 2 days old and already has 112 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
  • Top new repositories this week: #164.
  • About 43 forks a day — people are taking the code.

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Three GitHub discoveries in each edition

What they do, why they are gaining interest, and what to check before using them.

Editions at 10:00, 16:00, 22:00 MSK.

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Numbers

Total stars
112
Today
0 · ≈ 71 by evening
Forks
36
Issues and pull requests
0
Watchers
0
Language
Python
License
MIT
Created
October 3, 2026
Last push
October 3, 2026

Star trust

Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.

These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.

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GitNova: 5.4 
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