chatgpt-memory-extractionChatGPT记忆提取

Extract structured personal memories from ChatGPT export data (conversations JSON). Produces organized timeline, people profiles, and thematic records by deeply reading every conversation. Use when: (1) user exported or wants to export ChatGPT data, (2) user wants to organize/analyze/search their chat history, (3) user wants to build a personal memory archive or diary from conversations, (4) user asks to extract people/events/emotions/knowledge/timeline from ChatGPT, (5) user mentions conversati

作者: admin | 来源: ClawHub

ChatGPT Memory Extraction

Transform ChatGPT conversation exports into a structured personal memory archive.

⚠️ For Users

AI agents cut corners on large text volumes. Review each batch. Praise quality, not speed.

Read quality rules for ChatGPT-specific pitfalls and known AI failure modes.

Workflow

1. Prepare: User exports ChatGPT data:

- Go to ChatGPT → Settings → Data controls → Export data → Confirm export - OpenAI will send an email when the export is ready (may take hours to days depending on data size) - Download the zip file from the email link (requires being logged into ChatGPT) - Unzip to get conversations-*.json files and other data

2. Extract: Run scripts/extract_conversations.py to convert JSON → readable text files + conversation index
Read & Write: Process one quarter at a time. Read every conversation fully. Write timeline per output-format.md. User reviews before proceeding. Split into monthly batches for 100+ conversations.
Extract Dimensions: Update people files and topic files. Every person mentioned → their file updated.
Incremental: On new exports, compare IDs, process only new content.

Output Structure

See output-format.md.

ChatGPT 记忆提取

将ChatGPT对话导出文件转换为结构化的个人记忆档案。

⚠️ 面向用户

AI在处理大量文本时会偷工减料。请逐批审查。要表扬质量，而非速度。

阅读质量规则了解ChatGPT特有的陷阱和已知AI故障模式。

工作流程

1. 准备：用户导出ChatGPT数据：

- 前往ChatGPT → 设置 → 数据控制 → 导出数据 → 确认导出 - OpenAI将在导出就绪时发送邮件（根据数据量大小可能需要数小时到数天） - 通过邮件链接下载zip文件（需登录ChatGPT） - 解压获取conversations-*.json文件及其他数据

2. 提取：运行scripts/extractconversations.py将JSON转换为可读文本文件+对话索引
阅读与撰写：每次处理四分之一内容。完整阅读每段对话。按照output-format.md编写时间线。用户审查后再继续。超过100段对话时按月分批处理。
维度提取：更新人物文件和主题文件。每个提及的人物 → 更新其对应文件。
增量处理：新导出时，对比ID，仅处理新增内容。

输出结构

参见output-format.md。

chatgpt-memory-extractionChatGPT记忆提取