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long-term-memory

Design a cross-session long-term memory system that extracts, consolidates, and cites durable knowledge from conversation rollouts. USE WHEN: building any system that needs to persist insights across sessions, designing "what should the next agent remember" pipelines, building memory workspaces with git baseline diffing, planning Phase 1/Phase 2 memory architectures, writing JSON-schema-constrained extraction prompts, deciding what NOT to write (no-op gate), or any task involving "memories that survive session boundaries". TRIGGER PHRASES: "long-term memory", "cross-session memory", "memory pipeline", "memory consolidation", "memory citation", "raw_memories.md", "MEMORY.md", "phase 1 extraction", "phase 2 consolidation", "watermark", "no-op gate", "git baseline diff". SKIP WHEN: single-session task state (use `world-state-tracking` instead), ephemeral/short task, no need to survive session boundaries, in-memory only.

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来源信息

仓库
MiniMax-AI/MiniMax-Code-Plugins
最近来源活动
2026年9月10日 01:39
检测到的 SKILL.md 语言
英语
星标
11
分支
10

安装方式

默认使用会先检查来源的 Prompt;你也可以切换为直接命令,或下载本地副本。

检查来源文件

决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。