* feat(vector_store): add OceanBase as a VectorStore
* refactor(obvec): make it cleaner
* docs: add obvec related info
* refactor: minor update
* refactor: clean code and pass lint
* docs: remove unrelated edit
* docs: minor update
* refactor(file_store): simplify ChromaDB client initialization and improve file truncation logic
- Remove shutil import and _create_chroma_client method from chroma_file_store.py
- Directly initialize ChromaDB PersistentClient in start method without retry logic
- Reduce DEFAULT_MAX_BYTES from 100KB to 50KB in file_utils.py
- Update truncation notice format to provide clearer continuation instructions
- Add _truncate_fresh and _retruncate functions for better text truncation handling
- Replace inline truncation logic with dedicated function calls in file_utils.py
- Rename skills_tool_ids to md_file_tool_ids in tool_result_compactor.py
- Update file detection logic to identify any .md files instead of only skill.md
- Create comprehensive unit tests for truncation functionality in test_truncate_text_output.py
* chore(version): bump version to 0.3.1.6
- Update __version__ from 0.3.1.5 to 0.3.1.6 in __init__.py
* refactor(core): replace text truncation utilities with new marker system
- Remove old truncate_text_utils module and its exports
- Replace TRUNCATION_MARKER_START with _TRUNCATION_NOTICE_MARKER constant
- Update as_msg_stat.py to split content using new marker format
- Modify FileIO tool to use TRUNCATION_NOTICE_MARKER for continuation hints
- Change is_truncated function checks to use marker presence detection
- Move transformers dependency from main deps to light extra dependencies
- Update tool result compactor tests to verify marker instead of is_truncated calls
* feat(file_io): enhance file operations with path resolution and append functionality
- Add expanduser() to resolve file paths with ~ symbol
- Implement proper file existence and type validation in update_file
- Add new append_file method to append content to files
- Update truncation notice format for better readability
- Fix typo in error message from "provide" to "provided"
- Update transformers dependency in pyproject.toml
- Remove duplicate transformers dependency from light extras
* refactor(file_io): disable pylint too-many-return-statements warning
* perf(file_watcher): increase default polling delay and optimize watcher configuration
- Increased default poll_delay_ms from 1000ms to 2000ms to reduce CPU usage
- Removed force_polling parameter as it's no longer needed with updated polling strategy
- Simplified async watch configuration by removing conditional force_polling logic
- Reduced overall system resource consumption during file watching operations
* refactor(memory): update conversation log documentation in memory summary
- Changed "Raw conversation logs" to "Earlier conversation logs" for clarity
- Added warning note about potentially large dialog file sizes
- Improved formatting with additional line break for better readability
- Maintained existing compressed summary integration unchanged
* feat(memory): add long-term memory support to file-based memory system
- Initialize _long_term_memory attribute as empty string
- Add memories section to content when long-term memory exists
- Consolidate summary and memories into single user message
- Format memories with markdown header # Memories
- Maintain existing compressed summary functionality
- Join multiple content parts with double newlines
* 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
* update
* refactor(memory): remove unnecessary type check and update error logging
* refactor(core): standardize logger import and update agentscope dependency
* fix(memory): disable console output and add logging for summarizer component
* feat(core): replace OpenAI token counter with custom ReMe token counter
- Replace OpenAITokenCounter with ReMeTokenCounter implementation
- Add support for HuggingFace mirror and configurable tokenizer
- Register ReMeTokenCounter as default token counter in registry
- Update config to use hf backend with Qwen2.5-7B-Instruct model
refactor(memory): convert token counting methods to async in message handlers
- Change count_str_token, stat_message, count_msgs_token to async methods
- Update format_msgs_to_str and context_check to use async token counting
- Modify _format_tool_result_output to support async token counting
- Adjust all dependent methods to await async token counting calls
feat(memory): add dialog persistence to in-memory storage
- Implement _append_messages_to_dialog for saving messages to JSONL files
- Add dialog_path parameter to ReMeInMemoryMemory constructor
- Persist messages to daily JSONL files based on timestamp grouping
- Update mark_messages_compressed to save and remove compressed messages
- Modify clear_content to persist all messages before clearing memory
refactor(ops): update token counter type hints and initialization
- Change BaseOp to use HuggingFaceTokenCounter instead of TokenCounterBase
- Update type annotations for as_token_counter property and parameters
- Remove direct token counter injection from Compactor and ContextChecker
- Pass as_token_counter parameter through service context mechanism
style(logging): improve error logging with exception details
- Replace logger.error with logger.exception in browser control tool
- Change logger.error to logger.exception in memory get tool error handling
- Add proper exception logging with stack trace information
chore(config): add token counter configuration to light YAML
- Add as_token_counters section with default hf backend configuration
- Configure Qwen/Qwen2.5-7B-Instruct model with mirror support enabled
- Set up pretrained_model_name_or_path and use_mirror parameters
test(context): update context check tests to async implementation
- Convert verify_context_check_invariants to async function
- Update context check test methods to use async calls
- Change stat_message calls to await async implementation
- Modify test_empty_messages and test_below_threshold_returns_all to async
* feat(core): implement context checking and memory management features
* refactor(core): replace direct loguru import with logger utility function
* refactor(reme): remove RuntimeContext dependency and simplify context checking
* feat(docs): add raw conversation persistence to ReMe framework
* 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
