Write a changelog

CHANGELOG.md

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+# Changelog
+
+All notable changes to this project will be documented in this file.
+
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+
+## [0.9.0] - 2025-06-13
+
+*Changes from the initial release:*
+
+### Architecture Evolution
+- **Working Memory (formerly Short-term Memory)**:
+  - Renamed from "short-term memory" to "working memory" to better reflect its purpose
+  - Enhanced with automatic promotion system that moves structured memories to long-term storage in background
+  - Added support for arbitrary JSON data storage alongside memory structures
+  - Improved automatic conversation summarization in working memory
+
+- **Long-term Memory Promotion**:
+  - Implemented seamless flow from working memory to long-term memory via background task processing
+  - Agent only has to think about working memory, long-term memory is managed automatically (but can be managed manually, too)
+  - Use any LangChain `VectorStore` subclass for long-term storage, defaults to `RedisVectorStore`
+  - Structured memories automatically promoted with vector embeddings and metadata indexing
+  - Deduplication and compaction systems for long-term memory management
+  - Background task worker system using Docket for reliable memory processing
+
+### Client SDK and Tooling
+  - Both working and long-term memory available as tools for LLM integration (LLM can choose to persist a long-term memory or search for long-term memories)
+  - Memory-enriched prompt generation via `/v1/memory/prompt` endpoint
+  - Unified search across both memory types with metadata filtering
+  - Support for namespace isolation and session management
+
+### Search and Retrieval
+  - Vector-based similarity search using OpenAI embeddings
+  - Rich filtering system by session, namespace, topics, entities, timestamps
+  - Hybrid search combining semantic similarity with metadata filtering
+  - RedisVL integration for high-performance vector operations with Redis
+
+### Enhanced Memory Classification:
+  - Semantic memories for facts and preferences
+  - Episodic memories for time-bound events with event dates (requires a timeframe)
+  - Message memories for conversation records
+  - Automatic topic modeling and entity recognition either using BERTopic or a configured LLM
+  - Rich metadata extraction and indexing
+
+### Authentication and Security
+  - OAuth2/JWT Bearer token authentication with JWKS validation
+  - Multi-provider support (Auth0, AWS Cognito, Okta, Azure AD)
+  - Role-based access control using JWT claims
+  - Development mode with configurable auth bypass
+
+### Operational Features
+- **Comprehensive CLI Interface**:
+  - Commands for server management (`api`, `mcp`, `task-worker`)
+  - Database operations (`rebuild-index`)
+  - Background task scheduling and management
+  - Health monitoring and diagnostics
+
+
+## [0.0.1]
+
+### Initial Release - 2025-04-07
+- Initial release with basic short-term and long-term memory functionality