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