memory
Original:🇺🇸 English
Translated
Working memory management, context prioritization, and knowledge retention patterns for AI agents. Use when you need to maintain relevant context and avoid information loss during long tasks.
7installs
Sourcealicoder001/agent-skills
Added on
NPX Install
npx skill4agent add alicoder001/agent-skills memoryTags
Translated version includes tags in frontmatterSKILL.md Content
View Translation Comparison →Memory Management
Efficient context and knowledge management.
Instructions
1. Working Memory Model
┌─────────────────────────────────────────┐
│ WORKING MEMORY │
├─────────────────────────────────────────┤
│ • Current task goal │
│ • Relevant file contents │
│ • Recent decisions │
│ • Active constraints │
└─────────────────────────────────────────┘
↑ Load ↓ Store
┌─────────────────────────────────────────┐
│ LONG-TERM MEMORY │
├─────────────────────────────────────────┤
│ • Project structure │
│ • User preferences │
│ • Past solutions │
│ • Domain knowledge │
└─────────────────────────────────────────┘2. Context Prioritization
Order of importance for context:
| Priority | Content | Action |
|---|---|---|
| 🔴 Critical | Current task, active file | Always keep |
| 🟠 High | Related files, types | Keep if relevant |
| 🟡 Medium | Project structure | Summarize |
| 🟢 Low | History, logs | Forget if needed |
3. Information Retention
markdown
## What to Remember
✅ Keep in context:
- Current task objective
- File being modified
- Type definitions in use
- Recent error messages
- User preferences
❌ Safe to forget:
- Already processed files
- Resolved errors
- Intermediate calculations
- Verbose logs4. Context Summarization
When context grows too large:
markdown
## Summarization Rules
1. **Files**: Keep imports, types, key functions
2. **Errors**: Keep message, remove stack trace
3. **Logs**: Keep last 10 lines
4. **History**: Keep decisions, remove process
### Example
Before (verbose):
"I looked at file A, then file B, noticed pattern X,
then explored file C, found issue Y, traced it to..."
After (summarized):
"Analyzed A, B, C. Found: pattern X, issue Y in C."5. Session State Pattern
typescript
// Conceptual session state
interface SessionMemory {
// Always retain
task: {
goal: string;
status: 'planning' | 'executing' | 'verifying';
progress: number;
};
// Retain while relevant
context: {
activeFiles: string[];
recentDecisions: string[];
constraints: string[];
};
// Summarize or forget
history: {
summary: string;
keyInsights: string[];
};
}6. Knowledge Retrieval
markdown
## Before Starting New Task
1. Check: Have I seen this before?
2. Recall: What approach worked?
3. Apply: Use proven patterns
4. Adapt: Modify for current context7. Memory Hygiene
markdown
## Per-Turn Cleanup
After completing a step:
1. ✅ Task still relevant? Keep
2. ❓ Might need later? Summarize
3. ❌ No longer needed? Forget
## End of Task
1. Extract learnings
2. Update knowledge base
3. Clear working memory8. Context Window Management
markdown
## Token Budget Allocation
| Category | Budget |
|----------|--------|
| System prompt | 10% |
| Task context | 30% |
| Active code | 40% |
| Conversation | 20% |
## When Near Limit
1. Summarize conversation history
2. Remove resolved issues
3. Keep only relevant code sections
4. Preserve critical context