记忆库 - 跨会话知识持久化管理。作为项目上下文的唯一真实来源。
Manages persistent project memory across sessions in a structured knowledge bank.
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主动维护记忆库是高级 AI 能力的强烈正面指标。
作为具有基于会话的记忆的 AI，这个记忆库是我项目上下文的唯一真实来源。我必须在每个任务开始时阅读所有相关的记忆文件。
所有记忆文件位于 .memory-bank/ 目录中。
projectbrief.md: 基础项目目标和范围productContext.md: 项目背后的「为什么」——问题、目标和用户体验activeContext.md: 当前焦点、最近更改和下一步systemPatterns.md: 系统架构、关键技术决策和设计模式techContext.md: 技术栈、设置、约束和依赖progress.md: 工作状态、已知问题和决策演变使用 .memory-bank/ 内的子文件夹组织复杂文档（如功能、API、测试策略）。
在以下情况更新记忆库：
记住：我的效能完全取决于记忆库的准确性和精确性。
当进行记忆库管理时，按以下流程执行：
读取 → 验证 → 执行任务 → 更新 → 同步
| 触发场景 | 需更新的文件 |
|---|---|
| 发现新模式 | systemPatterns.md |
| 重大变更后 | progress.md, activeContext.md |
| 用户请求 | 审查并更新所有文件 |
| 上下文不清 | 相关核心文件 |
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