memory-extractor
Extract durable memories from recent conversation turns into user, feedback, project, and reference categories while avoiding stale code-state facts.
- License 许可
- MIT
- 最近更新
- 2026-11-01
- Stars
- ★ 3
- Forks
- 1
01 前言 Front Matter
- name
- memory-extractor
- description
- Extract durable memories from recent conversation turns into user, feedback, project, and reference categories while avoiding stale code-state facts.
02 资源文件 4
- 参考文档README.md871 B
- 参考文档references/prompt-template.md933 B
- 参考文档references/source-notes.md390 B
- 脚本scripts/memory_manifest.py1.9 KB
03 SKILL.md 正文
Memory Extractor
Use this skill when you want to persist durable collaboration context from the latest conversation turns.
Use It For
- capturing user preferences
- saving feedback about how to work
- recording non-code project constraints or deadlines
- storing pointers to external systems
Avoid It For
- storing code structure or file locations
- saving short-lived task state that belongs in a plan
- duplicating an existing memory topic without checking first
Quick Start
Build a manifest of existing memories:
python3 {baseDir}/scripts/memory_manifest.py --memory-root /path/to/memory
Then use the portable prompt in references/prompt-template.md.
Four Types
userfeedbackprojectreference
Rules
- save only durable signals
- avoid code-state facts that can drift
- prefer updating an existing topic file
- organize by topic, not chronology
Supporting Files
- Prompt template: references/prompt-template.md
- Source notes: references/source-notes.md
- Helper script:
python3 {baseDir}/scripts/memory_manifest.py ...
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