anilcancakir Serena Memory Management
Memory Operations
| Operation | Tool |
|---|---|
| Save knowledge | write_memory(key, content) |
| Update existing | edit_memory(key, content) |
| Load knowledge | read_memory(key) |
| List all | list_memories() |
| Remove | delete_memory(key) |
Recommended Memory Keys
| Key | Purpose |
|---|---|
architecture_overview |
System architecture |
code_conventions |
Coding standards |
recent_changes |
Latest commits |
known_issues |
Bugs and workarounds |
test_patterns |
Testing conventions |
session_context |
Current task (preserved during compaction) |
When to Update Memories
- After exploration: Save architectural insights
- After debugging: Document root causes and fixes
- After refactoring: Record successful patterns
- Before compaction: Preserve current task context
- After commits: Summarize significant changes
Example: Architecture Memory
write_memory(
key="architecture_overview",
content="""
# Project Architecture
## Layers
- API: FastAPI routes in src/api/
- Services: Business logic in src/services/
- Models: SQLAlchemy models in src/models/
## Key Patterns
- Dependency injection via FastAPI Depends
- Repository pattern for data access
## Entry Points
- Main app: src/main.py
- CLI: src/cli.py
"""
)
Example: Code Conventions Memory
write_memory(
key="code_conventions",
content="""
# Code Conventions
- snake_case for functions/variables
- PascalCase for classes
- Type hints required for public functions
- Docstrings in Google style
- Tests in tests/ mirror src/ structure
"""
)