* style(memory): update message formatting and improve logging
- Change default include_thinking parameter to True in as_msg_handler.py
- Replace angle brackets with square brackets for block formatting in as_msg_stat.py
- Add newline replacement in text truncation method in as_msg_stat.py
- Add loading duration timing to embedding cache loading in base_embedding_model.py
- Replace XML-style tags with markdown headers in compactor.py conversation format
- Update compactor.yaml prompts to reference markdown-style headers instead of XML tags
- Modify summarizer.py to use markdown-style conversation header format
* refactor(file-watcher): replace scan_on_start with rebuild_index_on_start parameter
- Replace scan_on_start and clear_on_start boolean parameters with single rebuild_index_on_start
- Update BaseFileWatcher constructor to use rebuild_index_on_start instead of two separate flags
- Modify initialization logic to clear and rescan when rebuild_index_on_start is True
- Remove scan_on_start parameter from CLI and light configuration files
- Update documentation to remove scan_on_start from quick start guides
- Rename all test methods and classes from scan_on_start to rebuild_index_on_start
- Add timezone-aware datetime helper method to summarizer component
- Format log message with proper line breaks for readability
* fix(core): resolve file watcher initialization issue and update version
- Fixed file watcher task creation to properly handle rebuild index on start logic
- Moved initialization and watch loop into async function to ensure proper execution order
- Updated package version from 0.3.1.1 to 0.3.1.2
- Added missing comma in embedding model logging statement
* fix(core): reduce max formatter text length limit
- Changed _DEFAULT_MAX_FORMATTER_TEXT_LENGTH from 2000 to 1000
- Updated constant value in as_msg_stat.py schema module
* fix(file-watcher): change default rebuild index behavior on start
- Changed rebuild_index_on_start parameter default from False to True
- This ensures index is rebuilt by default when file watcher starts
- Maintains consistent state initialization for file watching operations
* feat(compactor): add return_dict option and improve summary validation
- Add _is_valid_summary function to validate summary content format
- Introduce return_dict parameter to return structured results with validation
- Update prompt templates with clearer task descriptions and formatting rules
- Refactor update_user_message prompts to combine prefix and suffix logic
- Return dictionary with user_message, history_compact, and is_valid fields when enabled
- Add proper error handling for exception cases in memory compaction
- Maintain backward compatibility with string return when return_dict=False
* feat(memory): add thinking block configuration option
- Add add_thinking_block parameter to compactor component
- Pass include_thinking flag to message formatting in compactor
- Add add_thinking_block parameter to reme_light compact function
- Add add_thinking_block parameter to reme_light summarize function
- Add add_thinking_block parameter to summarizer component
- Pass include_thinking flag to message formatting in summarizer
- Remove previous-summary tags from compressed summary format
* feat(memory): add ContextChecker component for context size management
* refactor(memory): restructure file-based memory tools and update imports
* docs(readme): update documentation with detailed architecture and components
* docs(readme): update Chinese documentation with enhanced memory management diagrams
* refactor(cookbook): move cookbook files to test directory and clean up docs
* docs(readme): update link path for old version documentation
* docs(readme): update documentation with improved architecture diagrams and component details
* docs(readme): update documentation with improved clarity and structure
* refactor(docs): update in-memory memory documentation
* docs(readme): add experiment reproduction link to quickstart guide
- Add new ToolCallResult and ToolMemory schemas for tracking tool executions
- Implement tool memory retrieval and summarization flows in default config
- Register new parse_tool_call_result_op for processing tool call results
- Extend memory conversion logic to support tool memory type
- Add test cases for tool memory serialization and deserialization
- Include token counting utilities for text processing tasks
- Add SimpleReactOp to react module
- Update reme_ai/__init__.py to include react module
- Modify contra_repeat_op.py to use memory_id instead of id
- Adjust datetime_handler.py to handle string datetime conversion
- Update default.yaml to include react flow content
- Modify get_observation_op.py and get_observation_with_time_op.py to use workspace_id from context
- Update test/http_client_test.py to test new react functionality
- Adjust messages.jsonl to reflect new analysis approach for Xiaomi Corporation
- Rename and restructure personal memory consolidation flow
- Update memory handling in context and operations
- Refactor memory schema to use time_created and time_modified fields
- Improve error handling and logging in memory operations
- Update test cases for new memory consolidation flow
- Rename `worker` to `op` for operation classes
- Remove `memoryscope` package
- Create `constants` package with common constants
- Update module imports and class names accordingly
- Add summary module with simple summary and personal summary tasks
- Implement new vector store operations for updating and managing memory
- Refactor retrieve module to improve query building and memory rewriting
- Update schema and utils modules for better data handling and PDF processing
- Rename experiencemaker package to reme_ai
- Move personal modules to new directory structure
- Remove unused classes and imports
- Update module initialization files
- Add retrieve task memory flow to default.yaml for memory recall
- Update vector store initialization and import RecallVectorStoreOp- Modify app.py to use ConfigParser for configuration parsing
- Remove unnecessary comments and update flow description in default.yaml- Add test script for retrieve task memory using MCP client
- Update project metadata and dependencies in pyproject.toml
