memory

name	memory
description	Persistent memory for cross-session personalization. Trigger when user shares identity, preferences, relationships, or facts worth remembering.

Mental Model

Memory is for information with recurring value across conversations. If you'll need it tomorrow/next week, save it. If it's ephemeral (today's weather, casual greeting), don't.

What to Remember (DO)

Category	Examples	File
Identity	Name, age, location, occupation	facts/people.jsonl
Preferences	Languages, frameworks, work style	facts/preferences.jsonl
Relationships	Colleagues, family, team members	facts/people.jsonl
Decisions	Conclusions from discussions	facts/projects.jsonl
Context	Project details, work environment	facts/projects.jsonl

What NOT to Remember (NEVER)

• Ephemeral greetings ("你好", "hi")
• Temporary states ("今天很忙", "现在在外面")
• One-time questions without context
• Duplicate information already stored
• Credentials (passwords, API keys, tokens - even if user shares)

Action Pattern

When user shares memorable info:

1. Immediately call fs_write - don't acknowledge first, don't batch
2. Extract structured fields from casual speech
3. Use importance score: 0.9-1.0 (identity), 0.7-0.8 (preferences), 0.5-0.6 (context)

Example:

User: "我叫张三，在深圳做后端开发"
→ fs_write path=".memory/facts/people.jsonl" content='{"id":"mem_1704628800000","ts":"2026-01-07T12:00:00.000Z","type":"fact","category":"person","content":"张三，深圳，后端开发","tags":["name","location","occupation"],"importance":0.95}'

Storage Map

.memory/
├── profile.json           # Read on session start for context
├── facts/
│   ├── people.jsonl       # Identity, relationships
│   ├── preferences.jsonl  # Tech stack, work style
│   └── projects.jsonl     # Work context, decisions
└── conversations/
    └── YYYY-MM-DD.jsonl   # Session summaries

Entry Schema

{"id":"mem_{{timestamp}}","ts":"{{ISO8601}}","type":"fact","category":"{{person|preference|project}}","content":"{{concise content in user's language}}","tags":["{{retrieval keywords}}"],"importance":{{0.5-1.0}}

Retrieval

Session start: fs_read profile.json Search: fs_grep pattern="{{keyword}}" path=".memory/"