Chatgpt Memory Extraction
/install chatgpt-memory-extraction
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
- 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-*.jsonfiles and other data
- Extract: Run
scripts/extract_conversations.pyto 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.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install chatgpt-memory-extraction - 安装完成后,直接呼叫该 Skill 的名称或使用
/chatgpt-memory-extraction触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Chatgpt Memory Extraction 是什么?
Extract structured personal memories from ChatGPT export data (conversations JSON). Produces organized timeline, people profiles, and thematic records by dee... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 157 次。
如何安装 Chatgpt Memory Extraction?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install chatgpt-memory-extraction」即可一键安装,无需额外配置。
Chatgpt Memory Extraction 是免费的吗?
是的,Chatgpt Memory Extraction 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Chatgpt Memory Extraction 支持哪些平台?
Chatgpt Memory Extraction 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Chatgpt Memory Extraction?
由 cyresearch(@cyresearch)开发并维护,当前版本 v1.0.1。