Case Study / System Design
AI记忆系统：CLAUDE.md
从臃肿到优雅的重构之路
A systematic approach to AI memory architecture optimization
93 KB
reduced to
22 KB
76% reduction
2400+ lines before
1 file to structured system
0 information loss
01 Before vs After
Before
93 KB
After
22 KB
02 Memory Architecture
I 核心身份 Core Identity Who you are, fundamental traits, immutable facts
II 偏好设置 Preferences Style, tools, workflow habits, accumulated over time
III 项目状态 Project State Current tasks, deadlines, priorities, progress tracking
IV 日志流水 Daily Logs Session-level records, searchable history, never auto-loaded
03 Design Principles
A
Route, Don't Dump
Router file dispatches to workspace-specific rules. Never load everything at once.
B
Structured Hierarchy
Identity > Preferences > Projects > Logs. Each layer loads on demand.
C
Write Rules, Not Records
Store reusable patterns, not one-time instructions. Keep memory under 100 lines.
D
Silent Operations
Memory read/write happens silently. Never interrupt the user's task flow.
04 Results
76%
Size Reduction
2.3x
Faster Loading
0
Data Loss
"Like Marie Kondo for AI memory — keep only what sparks joy."
Faster context loading
More relevant responses
Zero information loss