# Phase 1: Core Backend Implementation
## Overview
Implementation of CloudflareStorage backend with full MemoryStorage interface compliance.
## Tasks Breakdown
### 1.1 Foundation Setup
- [ ] Create feature branch: `feature/cloudflare-native-backend`
- [ ] Set up Cloudflare development environment
- [ ] Research API rate limits and best practices
- [ ] Document required environment variables
### 1.2 CloudflareStorage Class Implementation
#### Core Interface Methods
- [ ] `async def initialize(self) -> None`
- [ ] `async def store(self, memory: Memory) -> Tuple[bool, str]`
- [ ] `async def retrieve(self, query: str, n_results: int = 5) -> List[MemoryQueryResult]`
- [ ] `async def search_by_tag(self, tags: List[str]) -> List[Memory]`
- [ ] `async def delete(self, content_hash: str) -> Tuple[bool, str]`
- [ ] `async def delete_by_tag(self, tag: str) -> Tuple[int, str]`
- [ ] `async def cleanup_duplicates(self) -> Tuple[int, str]`
- [ ] `async def update_memory_metadata(self, content_hash: str, updates: Dict[str, Any], preserve_timestamps: bool = True) -> Tuple[bool, str]`
#### Additional Methods
- [ ] `async def get_stats(self) -> Dict[str, Any]`
- [ ] `async def get_all_tags(self) -> List[str]`
- [ ] `async def get_recent_memories(self, n: int = 10) -> List[Memory]`
- [ ] `async def recall_memory(self, query: str, n_results: int = 5) -> List[Memory]`
### 1.3 Cloudflare Service Integration
#### Vectorize Operations
- [ ] Vector insertion with metadata
- [ ] Semantic similarity search
- [ ] Vector deletion by ID
- [ ] Namespace management for isolation
#### D1 Database Operations
- [ ] Memory metadata table creation
- [ ] Tag relationship tables
- [ ] CRUD operations for memory records
- [ ] Efficient tag-based queries
#### R2 Storage (Optional)
- [ ] Large content storage (>1MB)
- [ ] Content retrieval with caching
- [ ] Cleanup of orphaned objects
#### Workers AI Integration
- [ ] Embedding generation client
- [ ] Model consistency management
- [ ] Fallback to local embeddings
### 1.4 Error Handling & Performance
- [ ] Exponential backoff for rate limits
- [ ] Connection retry logic
- [ ] Comprehensive error messages
- [ ] Performance monitoring and logging
- [ ] Circuit breaker pattern for service failures
### 1.5 Configuration Updates
- [ ] Add Cloudflare to SUPPORTED_BACKENDS
- [ ] Environment variable definitions
- [ ] Validation logic for Cloudflare settings
- [ ] Backend selection logic updates
## Success Criteria
- [ ] All MemoryStorage interface methods implemented
- [ ] Unit tests pass for all methods
- [ ] Integration with real Cloudflare services works
- [ ] Performance comparable to existing backends
- [ ] Comprehensive error handling tested
## Testing Strategy
- [ ] Unit tests for each method
- [ ] Mock Cloudflare services for testing
- [ ] Integration tests with real Cloudflare account
- [ ] Performance benchmarking
- [ ] Error condition testing
## Files to Create/Modify
- `src/mcp_memory_service/storage/cloudflare.py` (new)
- `src/mcp_memory_service/config.py` (modify)
- `tests/unit/test_cloudflare_storage.py` (new)
- `tests/integration/test_cloudflare_integration.py` (new)
## Dependencies
- `httpx` for async HTTP requests
- `cloudflare` Python SDK (if available)
- Existing memory models and utilities