main
WeHub 来源说明
- Skill 名称:
memory-systems - 中文类目:Agent 长期/语义记忆架构
- 上游仓库:
muratcankoylan__Agent-Skills-for-Context-Engineering - 上游路径:
skills/memory-systems/SKILL.md - 上游链接:https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/blob/HEAD/skills/memory-systems/SKILL.md
- 本仓库为 WeHub 中文 Skill 汉化包,基于 skill 市场筛选 Top200 清单整理
- 原作者、版权和许可证信息以上游仓库为准
Description
This skill should be used for persistent semantic memory in agent systems: cross-session knowledge retention, entity tracking, temporal validity, graph or vector retrieval, memory consolidation, and memory benchmark selection. Route file-backed scratchpads to filesystem-context, handoff summaries to context-compression, and token-efficiency tactics to context-optimization.