datamoat

About datamoat

Export, back up, search, analyze, and reuse ChatGPT / Claude / Codex / Cursor / DeepSeek / Qwen data + skills + attachments locally

ai-backup ai-memory chatgpt-backup chatgpt-export chatgpt-memory claude-backup claude-code-backup claude-code-export claude-export claude-memory

Quick Facts

Stars	244
Forks	11
Language	TypeScript
Category	Codex Skill
Quality Score	31.75/100
Last Updated	2026-06-28
Created	2026-04-27
Platforms	claude-code, codex, node
Est. Tokens	~809k

Compatible Skills

These tools work well together with datamoat for enhanced workflows:

ClaudeViewer — semantic(0.45)+complementary+rare_topics+similar_pop+shared_platform (55%)
codemem — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)
memX — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)
deepseek-pp — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)
fast-filesystem-mcp — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)

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Frequently Asked Questions

What is datamoat?

datamoat is Export, back up, search, analyze, and reuse ChatGPT / Claude / Codex / Cursor / DeepSeek / Qwen data + skills + attachments locally. It is categorized as a Codex Skill with 244 GitHub stars.

What programming language is datamoat written in?

datamoat is primarily written in TypeScript. It covers topics such as ai-backup, ai-memory, chatgpt-backup.

How do I install or use datamoat?

You can find installation instructions and usage details in the datamoat GitHub repository at github.com/max-ng/datamoat. The project has 244 stars and 11 forks, indicating an active community.

View on GitHub → Browse Codex Skill tools