ychampion/codeclaw
CLI for exporting Claude Code/Codex sessions to Hugging Face with privacy redaction, MCP memory, and share-ready dataset workflows.
This tool helps AI engineers and machine learning practitioners turn their daily coding interactions with large language models like Claude Code and Codex into structured, privacy-safe datasets. It takes raw conversational sessions and transforms them into clean, redacted training data, ready for building and refining custom AI models. The output is a secure, shareable dataset suitable for fine-tuning or analysis, with robust privacy controls.
Available on PyPI.
Use this if you want to create valuable training datasets from your coding assistant conversations, ensuring sensitive information is removed and data quality is high.
Not ideal if you are looking for a general-purpose code management tool or a simple session logger without the need for dataset creation or privacy features.
Stars
9
Forks
2
Language
Python
License
MIT
Category
Last pushed
Feb 26, 2026
Commits (30d)
0
Dependencies
4
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