This document outlines the complete implementation plan for the Heare Memory Global Service. This plan is provisional and will be revised as we make progress through Phases 1 and 2, incorporating lessons learned and adjustments based on implementation realities.
The Heare Memory Global Service implements the "global" tier of a three-tier memory architecture:
- Session: Task-specific, may not persist beyond session
- Project: Curated by humans/agents, project-specific (AGENTS.md concept)
- Global: Cross-project concepts, multi-agent accessible, implicit interaction model
This project focuses exclusively on the global memory service implementation.
- Autonomous Execution: Each issue is designed for independent agent execution
- Clear Exit Criteria: Every task has specific, measurable completion conditions
- Security First: Path validation and input sanitization throughout
- Git-Native: All operations backed by git commits for full audit trail
- API-Driven: RESTful interface following OpenAPI specifications
Goal: Establish foundational infrastructure for the memory service Timeline: Week 1 Status: Issues Created
- Update pyproject.toml with complete dependencies
- Create proper Python package structure
- Set up development environment
- Priority: High
- Configure ruff and autoflake hooks
- Set up code quality automation
- Priority: High
- Create FastAPI app with router structure
- Set up middleware framework
- Configure CORS and basic error handling
- Priority: High
- Configure testing framework
- Create reusable test fixtures
- Set up coverage reporting
- Priority: Medium
- Implement environment variable configuration
- Add validation for required/optional settings
- Support for .env files
- Priority: High
- Verify external tool availability (git, gh, ripgrep)
- Initialize or validate git repository
- Configure authentication and read-only mode
- Priority: High
- Set up structured logging with JSON format
- Configure different log levels and categories
- Add request/response logging middleware
- Priority: Medium
- Implement GET /health with comprehensive status
- Report git configuration, search backend, read-only mode
- Priority: Medium
- Create git operations wrapper
- Implement commit creation and push logic
- Add retry mechanisms and error handling
- Priority: High
Goal: Implement basic memory node CRUD operations with git integration Timeline: Week 1-2 Status: Issues Created
- Create async file read/write utilities
- Implement path validation and sanitization
- Add atomic file operations and directory management
- Priority: High
- Create Pydantic models for memory nodes and API operations
- Add validation for content and paths
- Implement serialization/deserialization
- Priority: High
- Implement memory node retrieval
- Add proper HTTP headers (ETag, Last-Modified)
- Handle 404 errors and security validation
- Priority: High
- Implement memory node create/update
- Add atomic file operations with git commits
- Handle read-only mode and conflict detection
- Priority: High
- Implement memory node deletion
- Add directory cleanup and git commits
- Handle idempotency and error cases
- Priority: High
- Implement read-only mode enforcement
- Add request method filtering
- Create authentication context
- Priority: Medium
- Create consistent error response format
- Map exceptions to HTTP status codes
- Add comprehensive error logging
- Priority: Medium
- Create comprehensive test suite for CRUD operations
- Add integration tests with git workflow
- Implement concurrent operation testing
- Priority: High
Goal: Add search, batch operations, and metadata features Timeline: Week 2 Status: To Be Created
- Implement memory node listing with filtering
- Add support for prefix, delimiter, recursive options
- Handle hierarchical directory structure
- Include optional content in responses
- Create ripgrep wrapper with grep fallback
- Implement search query validation and sanitization
- Add context line support around matches
- Handle large result sets with pagination
- Implement content search across memory nodes
- Add search result highlighting and context
- Support prefix-based search scoping
- Add performance optimizations for large repositories
- Design batch operation request/response models
- Add validation for operation sequences
- Implement operation ordering and dependencies
- Add atomic transaction support
- Implement batch create/update/delete operations
- Add transaction rollback on any operation failure
- Create single git commit for entire batch
- Add batch operation size limits
- Implement comprehensive batch operation validation
- Add tests for complex batch scenarios
- Test rollback behavior on failures
- Add performance tests for large batches
- Add comprehensive file metadata to all responses
- Implement efficient metadata caching
- Add file relationship tracking
- Include git history integration
- Implement commit history listing
- Add filtering by path and date ranges
- Include commit statistics and file changes
- Add pagination for large histories
- Add commit impact analysis
- Implement change detection and summaries
- Create commit search functionality
- Add performance metrics for git operations
Goal: Performance optimization, observability, and production readiness Timeline: Week 3 Status: To Be Created
- Implement intelligent caching for frequently accessed nodes
- Add ETag support for client-side caching
- Create cache invalidation strategies
- Add cache performance monitoring
- Implement git operation connection pooling
- Add async operation optimization
- Create resource usage monitoring
- Optimize for concurrent request handling
- Implement streaming for large file responses
- Add partial content support (HTTP Range requests)
- Create memory usage optimization
- Add file size limits and validation
- Create comprehensive performance test suite
- Add load testing scenarios
- Implement performance regression detection
- Create performance monitoring dashboards
- Add comprehensive request tracing
- Implement correlation ID tracking
- Create performance logging
- Add business logic event logging
- Implement Prometheus-compatible metrics
- Add custom business metrics
- Create performance monitoring
- Add alerting thresholds
- Create comprehensive audit trail for all mutations
- Add user action tracking
- Implement security event logging
- Add compliance reporting features
- Integrate with error tracking services
- Add error categorization and alerting
- Create error trend analysis
- Implement automated error reporting
- Generate comprehensive API documentation
- Add detailed examples and use cases
- Create interactive API documentation
- Add client SDK generation support
- Implement dynamic schema generation
- Add schema versioning support
- Create schema validation utilities
- Add backward compatibility tracking
- Create comprehensive API usage guide
- Add integration examples and patterns
- Create troubleshooting documentation
- Add performance optimization guide
- Create client generation templates
- Add language-specific examples
- Create SDK documentation
- Add client testing utilities
Goal: Production deployment, security hardening, and operational procedures Timeline: Week 3-4 Status: To Be Created
- Create optimized Docker image
- Add multi-stage build process
- Include all required external tools
- Create deployment automation
- Create automated installation scripts
- Add platform detection and compatibility
- Create configuration templates
- Add migration and upgrade procedures
- Create GitHub Actions workflows
- Add automated testing and deployment
- Create release automation
- Add deployment validation
- Create environment-specific configurations
- Add secrets management integration
- Create deployment verification
- Add rollback procedures
- Implement comprehensive input validation
- Add XSS prevention for markdown content
- Create injection attack prevention
- Add rate limiting and abuse prevention
- Implement security header middleware
- Add CORS configuration for production
- Create CSP policies
- Add security monitoring
- Enhance authentication mechanisms
- Add authorization levels if needed
- Create API key management
- Add security audit logging
- Create security test suite
- Add penetration testing automation
- Implement vulnerability scanning
- Create security incident response
- Implement automated backup procedures
- Create point-in-time recovery
- Add backup validation and testing
- Create disaster recovery procedures
- Create comprehensive monitoring setup
- Add health check automation
- Implement alert escalation
- Create performance dashboards
- Add resource usage monitoring
- Create capacity planning tools
- Implement auto-scaling if needed
- Add performance optimization
- Create comprehensive operations runbook
- Add troubleshooting procedures
- Create incident response playbooks
- Add maintenance procedures
- All external dependencies properly configured
- FastAPI application starts and responds to health checks
- Git integration creates commits and pushes successfully
- Configuration system handles all environment variables
- Testing framework ready for development
- All CRUD operations work with git commits
- Path validation prevents security vulnerabilities
- Read-only mode enforcement works correctly
- Error handling provides consistent, helpful responses
- Comprehensive test coverage for core functionality
- Search functionality performs well on large repositories
- Batch operations are atomic and handle failures gracefully
- Listing operations support all specified filtering options
- Metadata and history features provide useful insights
- Performance meets production requirements
- Observability provides comprehensive system insights
- API documentation enables easy integration
- Client libraries support major use cases
- Service deploys reliably in production environments
- Security hardening prevents common attack vectors
- Operations procedures enable reliable maintenance
- Monitoring and alerting provide proactive issue detection
- Git Repository Corruption: Regular backup procedures, repository validation
- Performance Degradation: Comprehensive testing, performance monitoring
- Security Vulnerabilities: Regular security audits, input validation
- Concurrent Access Issues: Proper locking, conflict resolution
- Service Downtime: Health monitoring, graceful degradation
- Data Loss: Git-backed storage, automated backups
- Configuration Errors: Validation, environment management
- Scaling Issues: Performance testing, capacity planning
This implementation plan is provisional and will be updated based on:
- Technical Discovery: Issues encountered during Phase 1 and 2 implementation
- Performance Requirements: Actual performance characteristics vs. assumptions
- Integration Needs: Requirements that emerge from real-world usage
- Resource Constraints: Time and complexity adjustments based on progress
- Stakeholder Feedback: Changes in requirements or priorities
Plan Revision Process:
- After Phase 1 completion: Review and adjust Phase 2 and 3 plans
- After Phase 2 completion: Finalize Phase 3 and review Phase 4-5 plans
- Continuous: Update individual issues based on implementation learnings
Key Decision Points:
- Semantic search implementation approach (Phase 3+)
- Implicit observation pipeline design (Phase 4+)
- Multi-agent coordination mechanisms (Phase 5+)
- Deployment architecture and scaling strategy (Phase 5)
This plan provides a solid foundation while maintaining flexibility for evolution as we gain implementation experience.