v0.1.0

Changelog for v0.1.0

Core Features

• Memory Classification Engine: Implemented core memory classification functionality with multiple storage tiers
• Memory Types: Support for user_preference, fact_declaration, decision, correction, and more
• Storage Tiers: Working memory (RAM), Short-term memory (SQLite), Long-term memory (SQLite), Semantic memory (Neo4j)
• Classification Pipeline: Rule-based matching, pattern analysis, and semantic reasoning

API and SDK

• RESTful API: Implemented basic API endpoints for memory processing and retrieval
• Python SDK: Created SDK for easy integration with other applications

Privacy and Security

• Access Control: Basic permission management and access control
• Audit Logging: Tracking of memory access and modifications

Documentation

• Installation Guide: Step-by-step installation instructions
• User Guide: Usage examples and best practices
• API Documentation: Endpoint descriptions and usage

Examples

• Basic Usage: Simple example of memory classification
• Complete Example: Comprehensive usage scenario
• Recommendation Example: Memory-based recommendation system

Infrastructure

• Makefile: Build and test commands
• Requirements: Dependency management
• CI/CD: GitHub Actions workflow for automated testing

This is the initial release of Memory Classification Engine, providing a foundation for AI agents to manage and classify memories effectively.