* feat(service): add CLI service for local job execution
- Introduce CliService to execute single jobs locally without serving ports
- Add prepare_start_config and should_precheck_start functions for CLI job setup
- Update reme start command to use CLI service when job argument is provided
- Change default service backend from http to cli in jinli_lme config
- Modify SearchStep to use constants and rename configuration parameters
- Add unit tests for CLI service functionality and configuration handling
- Update file extension support to include json format in addition to md and jsonl
* feat(search): add BM25 and vector search steps with configuration updates
- Add Bm25SearchStep and VectorSearchStep classes with tool context deduplication
- Register new search step components in index module
- Update configuration to use separate vector_search and bm25_search endpoints
- Modify LLM models from qwen3.7-plus/glm-5.1 to glm-5.2 variants
- Adjust search parameters and remove hybrid search implementation
- Configure embedding store as default in storage settings
- Remove auto-memory and file catalog configurations
- Update watch directories from multiple paths to session_dir only
* feat(agent): add tool result offloading and workspace management
- Add tool_results_dir configuration option for offloaded tool results storage
- Implement ToolResultOffloadMiddleware to persist large tool results to files
- Create WorkspaceBackend to standardize file operations across tools
- Add configurable builtin tools selection with sequential execution option
- Integrate middleware support for agent wrapper with offloading capability
- Update application initialization to create tool results directory
- Add safety mechanisms for filesystem operations with sanitized filenames
- Enhance agent wrapper with configurable working directory handling
- Upgrade agentscope dependency to version 2.0.4 for improved features
# Conflicts:
# reme/application.py
* feat(benchmark): add LongMemEval agentic search and result management
- Introduce AgenticAnswerStep for agent-based history search
- Add LmePrepareJudgeStep and LmeSaveResultStep for evaluation pipeline
- Implement AddDraftStep and ReadAllDraftStep for evidence accumulation
- Update configuration with new agent wrapper and search parameters
- Add comparison script for analyzing agent run differences
- Include documentation for LongMemEval failure analysis
- Enhance tool result offloading with skip options
- Modify search defaults and indexing behavior
* feat(agent): implement tool result offloading with system reminders
- Added tool_result_offload_message parameter to agent wrapper reply method
- Implemented configurable reminder template for offloaded tool results
- Created system reminder messages when tool results are offloaded to files
- Added Chinese user message template for agentic answer step
- Updated tool result offloading middleware to use custom reminder templates
- Enhanced agentic answer instructions to handle long tool results via draft storage
* feat(scripts): add LongMemEval results summarization tool
- Create summarize_lme_results.py script to analyze result JSON files
- Implement command line interface with answer id and dataset root options
- Add support for specifying index range with start and end parameters
- Include option to show failure details and non-successful completions
- Calculate completion statistics and accuracy metrics
- Display detailed breakdown of yes/no/other judgements
- Handle missing and unreadable result files gracefully
- Format output with percentages and comprehensive summary statistics
* feat(summarize_lme_results): add question type breakdown to result summary
- Import defaultdict from collections module
- Add by_type dictionary to track statistics by question type
- Count completed, yes, no, and other responses for each question type
- Display detailed breakdown table showing accuracy by question type
- Include question type column when processing judgements
- Print comprehensive summary with question type distribution
- Calculate and display accuracy percentage for each question type category
* feat(lme): switch to qwen3.7-max model and add shuffle functionality
- Changed default LLM model from glm-5.1 to qwen3.7-max in jinli_lme.yaml
- Added random module import for shuffle functionality
- Implemented --shuffle argument with BooleanOptionalAction for dataset shuffling
- Added --seed argument to control random seed for reproducible shuffling
- Applied random shuffle to dataset indices when shuffle is enabled
- Added console output showing shuffle operation and seed information
* fix(cli): set default random seed for shuffle functionality
- Changed default seed value from None to 42 for consistent shuffling behavior
- Ensures reproducible results when using shuffle option without explicit seed
- Maintains backward compatibility while providing deterministic defaults
* refactor(benchmark): update agentic answer guidelines for grounding
- Updated English instruction to emphasize strict grounding in retrieved context
- Modified Chinese instruction to stress evidence-based responses without inference
- Removed redundant conciseness requirement in both language versions
- Enhanced clarity on proper use of draft saving and retrieval mechanisms
- Strengthened emphasis against hallucination of unsupported facts
* refactor(benchmark): update agentic search instructions and configuration
- Replace separate vector_search and bm25_search with unified search tool
- Update agent instructions to use single search tool with multiple strategies
- Simplify Chinese instructions for search methodology
- Add comprehensive search tool configuration with hybrid vector/BM25 capabilities
- Increase model retry attempts from 1 to 3 for better reliability
- Remove redundant tool references from job_tools list
* feat(search): add configurable search limit with environment variable support
- Remove hardcoded limit and min_score parameters from config schema
- Increase LLM context size from 200000 to 1000000
- Add REME_SEARCH_LIMIT environment variable support for search configuration
- Implement command line argument --search-limit to override default search limit
- Add input validation to ensure search limit is positive
- Modify subprocess execution to pass environment variables
- Update search step to use dynamic default limit from environment or fallback to 5
* refactor(benchmark): remove agentic answer step and related configurations
- Removed AgenticAnswerStep class and its registration
- Deleted agentic_answer.yaml prompt configuration file
- Removed agentic answer related job definitions from jinli_lme.yaml
- Cleaned up tool result offloading middleware implementation
- Removed tool_results_dir configuration field from application config
- Deleted comparison and analysis scripts for agent runs
- Removed agentic answer step from LME init module exports
- Updated agent wrapper to remove tool result offloading functionality
- Removed unused imports and dependencies in agent wrapper module
* refactor(benchmark): remove unused LME result processing components
- Removed LmePrepareJudgeStep and LmeSaveResultStep classes from benchmark module
- Cleaned up imports and exports in lme module initialization
- Removed unused middleware configuration from agent wrapper
- Deleted obsolete result.py file containing deprecated result processing logic
- Simplified agent instantiation by removing middleware parameter
- Updated import statements to reflect removed dependencies
* refactor(index): remove unused search steps and update imports
- Remove Bm25SearchStep and VectorSearchStep from index steps module
- Remove unused prepare_start_config and should_precheck_start exports
- Move import statements to proper location in reme.py
- Update test module to use direct import path for CliService
- Remove vector_search and bm25_search configurations from jinli_lme.yaml
- Add workspace directory environment variable configuration
- Add docstring to getcwd method in agent wrapper
- Remove empty middleware list from agent wrapper initialization
* feat(index): add BM25 and vector search steps with tool context deduplication
- Add Bm25SearchStep for plain BM25 keyword search with tool_context deduplication
- Add VectorSearchStep for plain vector search with tool_context deduplication
- Implement tool context state management with TTL-based deduplication
- Add support for chunk deduplication across tool contexts within TTL window
- Update index steps module to include new search step classes
- Add test coverage for CLI metadata output functionality
- Refactor CLI service to remove unused show_status parameter
- Update documentation comments to reflect internal service configuration
* feat(steps): add Python code execution capability
- Introduce PythonExecuteStep to run Python code in subprocess
- Add configuration for python_execute step in jinli_lme.yaml
- Register python_execute in available tools list
- Implement timeout handling with default 60 second limit
- Capture stdout/stderr output and return code metadata
- Add comprehensive unit tests for execution scenarios
- Support workspace directory context for code execution
- Handle timeout errors and runtime exceptions gracefully
* refactor(python_execute): replace subprocess with asyncio for Python code execution
- Replace subprocess.run with asyncio.create_subprocess_exec for non-blocking execution
- Add _PythonResult dataclass to encapsulate execution results and timeout status
- Implement proper timeout handling with asyncio.wait_for and process.kill()
- Update metadata to include returncode and stderr when timeout occurs
- Convert synchronous _run_python method to asynchronous implementation
- Maintain backward compatibility while improving execution reliability
* refactor(python_execute): replace subprocess with asyncio for Python code execution
- Replace subprocess.run with asyncio.create_subprocess_exec for non-blocking execution
- Add _PythonResult dataclass to encapsulate execution results and timeout status
- Implement proper timeout handling with asyncio.wait_for and process.kill()
- Update metadata to include returncode and stderr when timeout occurs
- Convert synchronous _run_python method to asynchronous implementation
- Maintain backward compatibility while improving execution reliability
* chore(workflow): update package installation to include core extra dependencies
- Modified pre-commit workflow to install with [dev,core] extras
- Updated python-publish workflow to install wheel with core extra dependency
- Changed from direct dist/*.whl install to variable assignment for wheel path
- Ensured core dependencies are included during test installation phase
* chore(workflow): remove docs deployment workflow
- Delete the entire docs.yml workflow file that was used for deploying documentation
- Remove all related configuration including build and deploy jobs
- Stop automatic deployment of docs on pushes to main branch
- Remove GitHub Actions workflow for docs/ directory changes
* fix(embedding): enforce strict dimension matching for embeddings
- Add _embedding_dim_matches method to validate embedding dimensions
- Reject embeddings with mismatched dimensions instead of padding/truncating
- Drop stale embeddings with wrong dimensions during loading and upsert operations
- Disable embedding store when query dimensions don't match configured dimensions
- Fail health checks when embedding dimensions don't match expected values
- Skip chunks with wrong dimensions during FAISS index rebuild
- Add comprehensive tests for dimension validation behavior
* refactor(file_store): simplify conditional checks in vector search and test assertions
- Combine multiple conditionals into single check for empty FAISS index
- Replace explicit empty list comparison with boolean check for node embedding calls
- Maintain same functional behavior while improving code readability
* fix(embedding): harden dimension validation helpers
* refactor(embedding): update embedding model initialization and session storage paths
- Remove unused inspect import from as_embedding module
- Pass dimensions directly to embedding model constructor instead of using parameters
- Update session state file paths to use mem_session directory instead of resource
- Add mem_session_dir configuration option to application config schema
- Update workspace directory creation to include new mem_session directory
- Change AgentScope and Claude Code session paths to use mem_session directory
- Move embedding dimensions from parameters to top-level configuration
- Update AgentScope dependency version from 2.0.3 to 2.0.4
- Update integration tests to reflect new session file location paths
* chore(version): bump version to 0.4.0.8
- Update __version__ from 0.4.0.7 to 0.4.0.8 in __init__.py
* refactor(search): replace time module with datetime for timestamp generation
- Removed unused time import
- Added static method _now_ts using datetime.timestamp
- Updated clock parameter to use _now_ts method instead of time.time
- Maintained same timestamp precision and functionality
* test(http): add tests for HTTP client display formatting
- Add test for default metadata hiding behavior in CLI output
- Add test for metadata display when show_metadata is enabled
- Verify _format_for_display method correctly formats response text
- Test both success case and metadata inclusion scenarios
* chore(build): remove longmemeval from gitignore
- Removed longmemeval directory from gitignore list
- Kept evaluation and datasets directories in ignore list
- Updated gitignore configuration for proper version control
2.0.3 promoted `dimensions` to a required first-class constructor
argument while keeping a backfill from `parameters.dimensions`; 2.0.2
has no such argument and reads `dimensions` from `Parameters`. Keep
`dimensions` in `Parameters` for both versions and, when the model
constructor accepts `dimensions`, pass `dimensions=None` so 2.0.3's
backfill promotes it out of `parameters`.
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
* feat(search): add tool context deduplication and improve search configuration
- Modify _make_tool methods to accept and inject tool_context_id parameter
- Add tool_context_id handling in AS and CC agent wrappers
- Increase search candidate multiplier from 3.0 to 5.0 in default config
- Extend HTTP client timeout from 30s to 3600s
- Add tool context deduplication logic to prevent duplicate search results
- Implement TTL-based expiration for seen chunks in tool contexts
- Add comprehensive unit tests for tool context deduplication behavior
- Update .gitignore to exclude longmemeval directory
- Add time import for timestamp functionality in search step
* refactor(search): replace time module with datetime for timestamp generation
- Removed unused time import
- Added static method _now_ts using datetime.timestamp
- Updated clock parameter to use _now_ts method instead of time.time
- Maintained same timestamp precision and functionality
* feat: add start_date/end_date time filter support for search job
- Add _extract_date_from_path to extract validated YYYY-MM-DD from chunk paths
- Add start_date/end_date filtering in _matches_search_filter
- Implement progressive recall in FaissLocalFileStore.vector_search
- Promote start_date/end_date from context to search_filter in SearchStep
- Add start_date/end_date parameters to search job in default.yaml
- Add unit tests for date filter functionality
* fix: validate/normalize date filters and harden _extract_date_from_path
Address three code-review comments on the time_filter search feature:
1. Validate/normalize start_date and end_date before string comparison.
_matches_search_filter does lexicographic comparison against path_date
(always canonical YYYY-MM-DD). Raw caller values like '2026-2-28' or
'abc' would produce silently wrong results. Now SearchStep normalizes
valid dates via extract_daily_date (with strptime fallback for
non-zero-padded input) and silently ignores invalid dates with a
logger.warning, removing them from the filter.
2. Clarify behavior for paths without embedded dates.
Added optional strict_date_filter parameter (default False). When True
and at least one date bound is active, chunks whose path yields no date
(e.g. digest/personal/topic.md) are excluded. When False (default),
the existing behavior is preserved — dateless paths pass through.
3. Harden _extract_date_from_path against non-standard suffixes.
Previously parts[1].split('.')[0] accepted '2026-05-18.anything' as a
valid date. Now only exact 'YYYY-MM-DD' (dir) and 'YYYY-MM-DD.md'
(day-index) forms are accepted.
call_server now resolves the client backend/transport/host/port from the
live `reme start` process (replaying its start args through
resolve_app_config) so a bare `reme <action>` reaches the server however
it was actually launched, falling back to local config when none runs.
Explicit backend=/transport=/host=/port= still win.
Also fix as_embedding to pass `dimensions` explicitly for agentscope
>=2.0.2, and add Claude Code auto-memory/auto-dream demos to the READMEs.
* fix(auto-memory): preserve message timestamps
* fix(auto-memory): infer daily date from messages
* feat(file_io): add strict date parsing and improve daily date handling
- Add new parse_daily_date function for strict YYYY-MM-DD validation
- Replace extract_daily_date with parse_daily_date for explicit date validation
- Change _messages_day to use max date instead of min for historical imports
- Reorder imports to maintain consistent module ordering
- Move session message saving after date validation in auto_memory
- Add comprehensive tests for invalid date rejection before saving
- Add tests for strict YYYY-MM-DD date format validation
- Update test names to reflect latest date behavior
---------
Co-authored-by: Ziyang Guo <121015044+RunMarshal@users.noreply.github.com>
Co-authored-by: jinli.yl <jinli.yl@alibaba-inc.com>
* style(docs): update visual styling and layout of documentation figures
- Change background color from #f7f8fb to #fffdf8
- Update fonts to include Comic Sans MS and Bradley Hand for titles
- Adjust stroke colors and widths for panels and chips
- Modify arrow and line styles with new colors and dimensions
- Update marker sizes and colors for better visual consistency
- Add rounded corners and join styles for smoother appearance
- Apply dashed borders to chip elements
- Refine color palette for text and UI elements
docs(readme): enhance documentation content and formatting
- Improve readability with better line breaks and spacing
- Update core ideas section with expanded descriptions
- Add news section announcing ACL 2026 paper acceptance
- Enhance agent integration section with detailed examples
- Revise automatic memory flow description for clarity
- Update workspace operation interface with improved categorization
- Standardize table formatting and column widths
- Clarify directory structure with better organization
- Add minimal CLI examples for easier integration
- rename session_id to session_event in directory structure
- add example files under digest directory structure
* style(docs): adjust image dimensions in README table
- Changed table cell widths from 45% to 50% for better alignment
- Reduced image width from 100% to 92% to prevent overflow
- Applied consistent sizing across all four documentation images
- Improved visual balance of the feature comparison table
* docs(readme): update documentation with design philosophy and operation interface
- Change background color in design-philosophy.svg from #f7f8fb to #ffffff
- Rename 'Workspace Operation Interface' to 'ReMe Operations' in README.md
- Update Chinese documentation with consistent 'ReMe Operations' title
- Adjust image widths from 100% to 92% in Chinese documentation tables
- Standardize summary titles in both English and Chinese documentation
* docs(readme): add demo videos for auto memory and auto dream features
- Added expandable details section with video demonstrations
- Included side-by-side comparison of Auto Memory and Auto Dream features
- Added video controls with muted loop and inline playback support
- Updated both English and Chinese README files with identical content
- Used table layout for proper alignment of demonstration videos
- Maintained consistent styling and formatting across both language versions
* docs(figure): remove qwenpaw auto memory video file
- Delete the video file qwenpaw-auto-memory.mp4 from docs/figure directory
- Remove all video content related to auto memory demonstration
- Clean up media assets that are no longer needed in documentation
* style(docs): replace details summary with centered paragraph in README files
- Replaced collapsible details/summary elements with centered paragraphs
- Removed unnecessary br tags in both English and Chinese documentation
- Maintained the same visual presentation while simplifying HTML structure
- Updated both README.md and README_ZH.md consistently
* style(docs): update design philosophy diagram styling
- Changed fonts to include Comic Sans MS and Bradley Hand for titles and labels
- Updated color scheme with darker text colors (#1f2430 instead of #172033)
- Increased stroke widths from 1.2 to 2.2 for panels and adjusted other stroke values
- Added rounded line caps and joins for smoother visual appearance
- Modified chip styling with dashed borders and updated stroke properties
- Adjusted arrow markers to smaller sizes with updated dimensions
- Refined color values for arrows, links and file lines for better contrast
- Applied consistent stroke properties across all visual elements
* docs(readme): update documentation and adjust svg dimensions
- Updated SVG canvas dimensions from 640px to 670px height
- Simplified Skill + CLI integration examples in README tables
- Removed detailed command examples and collapsible sections
- Streamlined automatic memory capabilities documentation
- Cleaned up ReMe operations table formatting
- Consolidated command usage instructions for clarity
* style(docs): update visual styling and layout of documentation figures
- Change background color from #f7f8fb to #fffdf8
- Update fonts to include Comic Sans MS and Bradley Hand for titles
- Adjust stroke colors and widths for panels and chips
- Modify arrow and line styles with new colors and dimensions
- Update marker sizes and colors for better visual consistency
- Add rounded corners and join styles for smoother appearance
- Apply dashed borders to chip elements
- Refine color palette for text and UI elements
docs(readme): enhance documentation content and formatting
- Improve readability with better line breaks and spacing
- Update core ideas section with expanded descriptions
- Add news section announcing ACL 2026 paper acceptance
- Enhance agent integration section with detailed examples
- Revise automatic memory flow description for clarity
- Update workspace operation interface with improved categorization
- Standardize table formatting and column widths
- Clarify directory structure with better organization
- Add minimal CLI examples for easier integration
- rename session_id to session_event in directory structure
- add example files under digest directory structure
* style(docs): adjust image dimensions in README table
- Changed table cell widths from 45% to 50% for better alignment
- Reduced image width from 100% to 92% to prevent overflow
- Applied consistent sizing across all four documentation images
- Improved visual balance of the feature comparison table
* docs(readme): update documentation with design philosophy and operation interface
- Change background color in design-philosophy.svg from #f7f8fb to #ffffff
- Rename 'Workspace Operation Interface' to 'ReMe Operations' in README.md
- Update Chinese documentation with consistent 'ReMe Operations' title
- Adjust image widths from 100% to 92% in Chinese documentation tables
- Standardize summary titles in both English and Chinese documentation
* docs(readme): add demo videos for auto memory and auto dream features
- Added expandable details section with video demonstrations
- Included side-by-side comparison of Auto Memory and Auto Dream features
- Added video controls with muted loop and inline playback support
- Updated both English and Chinese README files with identical content
- Used table layout for proper alignment of demonstration videos
- Maintained consistent styling and formatting across both language versions
* docs(figure): remove qwenpaw auto memory video file
- Delete the video file qwenpaw-auto-memory.mp4 from docs/figure directory
- Remove all video content related to auto memory demonstration
- Clean up media assets that are no longer needed in documentation
* style(docs): replace details summary with centered paragraph in README files
- Replaced collapsible details/summary elements with centered paragraphs
- Removed unnecessary br tags in both English and Chinese documentation
- Maintained the same visual presentation while simplifying HTML structure
- Updated both README.md and README_ZH.md consistently
* style(docs): update design philosophy diagram styling
- Changed fonts to include Comic Sans MS and Bradley Hand for titles and labels
- Updated color scheme with darker text colors (#1f2430 instead of #172033)
- Increased stroke widths from 1.2 to 2.2 for panels and adjusted other stroke values
- Added rounded line caps and joins for smoother visual appearance
- Modified chip styling with dashed borders and updated stroke properties
- Adjusted arrow markers to smaller sizes with updated dimensions
- Refined color values for arrows, links and file lines for better contrast
- Applied consistent stroke properties across all visual elements
* refactor(transfer): drop orphaned ingest step, make service discovery cross-platform
- Remove ingest step: superseded by auto_resource (drop files under
resource/ → watcher interprets them); its meta.json/<date>.md outputs
had no consumers and tripped the auto_resource watcher.
- Replace lsof/pgrep shell-outs in service_utils with psutil (per-process
enumeration, no root needed on macOS) for Windows/macOS/Linux support.
- Add cross-platform test coverage for _pid_on_port / _scan_reme_procs.
- Deps: +psutil, -filelock (only used by the removed ingest lock).
* chore(release): bump version to 0.4.0.5
* fix(mcp): resolve circular import issues and update dependencies
- Moved fastmcp imports inside functions to prevent circular dependencies
- Replaced _TRANSPORT_MAP with _VALID_TRANSPORTS set for transport validation
- Updated version number from 0.4.0.3 to 0.4.0.4
- Added claude-agent-sdk dependency to core optional dependencies
- Used TYPE_CHECKING imports for FastMCP related types
- Restructured transport mapping logic within function scope
- Fixed string annotation for CallToolResult type hints
* refactor(tests): update date handling in daily steps tests
- Replace _date.today() with timezone-aware now function
- Use Asia/Shanghai timezone for date formatting
- Change return format to use strftime instead of isoformat
- Import now function from reme.steps.evolve module
* refactor(tests): clean up unused imports in daily steps test
- Removed unused date import from datetime module
- Removed redundant pathlib Path import that was already imported later
- Kept necessary imports for asyncio, os, tempfile, warnings, and frontmatter modules
* test(daily_steps): update test to include application context for daily list step
- Add ApplicationContext initialization with temporary workspace directory
- Register file store component in application context
- Pass application context to DailyListStep constructor
- Maintain existing test assertion behavior for date metadata verification
* feat(file_io): add daily_write step for creating daily notes with conversation metadata
- Add DailyWriteStep class that delegates to write job for creating daily notes
- Register daily_write job in default configuration with proper parameters
- Include validation for name and session_id path components
- Add test coverage for daily_write functionality including metadata handling
- Preserve existing job execution method in application.py after repositioning
- Update base_step.py to use positional-only parameter syntax for job methods
- Import and expose DailyWriteStep in file_io module initialization
- Override reserved metadata keys (name, description, session_id, source_conversation) with fixed values
- Refresh daily index after successful write operation
- Generate proper source conversation links in markdown format
* feat(daily): refactor daily note system with enhanced metadata handling
- Introduce validate_filename_component function and export it
- Add _INDEX_HIDDEN_METADATA_KEYS to hide conversation metadata from index
- Update scan_notes to exclude hidden metadata keys from index rendering
- Modify auto_memory to use daily_write tool and manage session frontmatter
- Implement session note lookup and renaming based on frontmatter name
- Update daily_list to return flattened note metadata including session info
- Change daily_write to dispatch write step instead of running job
- Add test cases for updated daily note functionality and metadata handling
- Update version from 0.4.0.2 to 0.4.0.3
* fix(evolve): correct metadata update in auto memory response
- Fixed trailing comma issue in metadata dictionary update
- Ensured proper formatting of response metadata structure
- Maintained existing functionality while fixing syntax error
* refactor(auto_resource): replace daily_create with dynamic note management
- Remove DailyCreateStep and related exports from file_io module
- Replace static daily note creation with dynamic resource-linked card system
- Implement LLM-suggested naming with frontmatter-driven file management
- Add source_resource linking for tracking original files
- Introduce collision handling with hash-based suffixes
- Update documentation to reflect new resource card workflow
- Modify auto_resource prompts to use write/edit tools instead of daily_create
- Adjust test fixture comments to match new agent behavior
- Update framework diagrams and quick start examples accordingly
* feat(app): add version info to app initialization and update auto-memory logic
- Include version number in application startup logging
- Remove tool result truncation logic from auto-memory step
- Update auto-memory to exclude tool_result blocks from saved history
- Add test case to verify tool results are filtered out from message saving
- Update YAML prompts to clarify filename naming rules without dates
- Modify configuration to support new dispatch steps format with persistence control
* feat(auto_memory): add note modification tracking and optimize frontmatter updates
- Add _note_bytes and _note_modified methods to track actual file changes
- Optimize frontmatter updates by checking existing metadata before update
- Add modified flag to response metadata indicating actual note changes
- Update logging to include modified status in various operations
- Add comprehensive tests for modified/unmodified detection scenarios
- Enhance result hook logic to skip when no actual changes occur
- Refactor metadata handling to properly track creation vs modification status
* feat(evolve): enhance agent reply processing and logging capabilities
- Add agent_reply_result_text function to extract final user-visible text from agent replies
- Implement comprehensive logging throughout auto_memory, auto_resource, and dream modules
- Add max_units configuration option to limit extracted memory units
- Improve error handling and validation in auto_resource step
- Refactor dream extract step to respect max_units limit during processing
- Enhance summary rendering in dream finish step with detailed breakdown
- Add result hook functionality for embedding hosts integration
- Implement loose resource filename handling for root-level resources
- Update test cases to reflect new functionality and improved error messages
* test(background-steps): update fake upsert function to include created parameter
- Modified fake_upsert function to accept 'created' parameter instead of '_created'
- Added 'created' field to captured dictionary in fake_upsert function
- Included 'created': True in the expected response dictionary for test case
- Updated test assertion to match new parameter structure
- Implement _backfill_missing_embeddings method to handle chunks without embeddings
- Add logic to identify and process chunks that predate embedding feature
- Integrate backfill process into store loading sequence
- Add proper error handling and logging for backfill operations
- Create unit test for embedding backfill functionality
- Ensure backfilled embeddings are properly persisted to storage
* chore(logging): change info logs to debug level for data loading operations
- Changed stopwords loading log from info to debug level
- Changed file catalog nodes loading log from info to debug level
- Changed file graph nodes loading log from info to debug level
* feat(dream): add dream schema definitions and enum for auto-dream functionality
- Add DreamBucketEnum with procedure, personal, and wiki values
- Create comprehensive dream-related Pydantic models including DreamUnit,
DreamTopic, DreamExtractOutput, IntegrateOutcome, TopicSelectionOutput,
ProactiveResult, and DreamState
- Move schema definitions from local step module to shared schema package
- Update dream extraction and integration steps to use new enum-based
bucket validation
- Initialize digest directories for each dream bucket type
- Enhance embedding store health check with workspace directory logging
* refactor(tests): update DreamState import path in test_auto_dream.py
- Move DreamState import from reme.steps.evolve.dream.schema to reme.schema
- Maintain same functionality with updated module reference
- Align import with new schema location in project structure
* fix(core): update version number to 0.4.0.1
- Incremented version from 0.4.0.0 to 0.4.0.1 in __init__.py
* fix(index): remove stopwords path from tokenizer config and add keyword index repair
- Remove stopwords_path from tokenizer config to prevent index forking by install path
- Add _sync_keyword_index_from_chunks method to repair keyword index when persisted state mismatches
- Implement test for keyword index repair from persisted chunks when missing
- Add test to verify tokenizer fingerprint ignores stopwords absolute path
- Update version from 0.4.0.1 to 0.4.0.2
* feat(dream): add scan_days parameter to dream extraction process
- Add scan_days configuration option to default.yaml with default value of 2
- Implement recent_dates utility function to calculate date ranges for scanning
- Modify DreamExtractStep to scan multiple days based on scan_days parameter
- Update dream extraction to process files across multiple dates instead of single day
- Extend DreamState schema to include dates and scan_days fields
- Update DreamTopicsStep to handle multi-day topic processing
- Modify finish step to checkpoint files from all scanned dates
- Add comprehensive tests for multi-day scanning functionality
- Update prompt templates to include scan dates information
- Refactor topics writing logic to target specific date rather than current date
* docs: rename vault_dir to workspace_dir in documentation and examples
* refactor(extract): format long method call across multiple lines
* refactor(extract): format system prompt parameters for better readability
- Changed project name in pyproject.toml from 'reme' to 'reme-ai'
- Updated dependency references in full extras to use 'reme-ai[core]' and 'reme-ai[dev]'
* feat(core): enhance agent wrapper with session management and stream chunks
- Add AddStep for simple arithmetic operations
- Implement session persistence with AsStateHandler for AgentScope
- Introduce stream chunk conversion for unified event handling
- Add file session store for Claude Code agent backend
- Support skill integration and permission handling in agent wrappers
- Add proactive and daily topics features to auto dream step
- Refactor auto memory and auto resource steps to use job tools
- Update application shutdown sequence for proper resource cleanup
- Enhance environment loading utilities with parse_env_file function
- Add comprehensive error handling and validation for session IDs
* refactor(embedding): simplify model initialization and update component management
- Replace individual _start methods with shared model_cls attribute pattern
- Remove redundant _close methods from embedding model wrappers
- Add application-level component update capability via update_component method
- Simplify BaseAsLLM _start method with early return when model exists
- Remove unused skill instruction template from agent wrapper
- Restructure CronJob to execute its own steps instead of dispatching external jobs
- Update cron job configuration format to use steps instead of dispatch targets
- Refactor cron job tests to match new execution model
- Remove deprecated dispatch_step/dispatch_job functionality from cron job
* feat(agent): add session management and cleanup functionality
- Added session_dir configuration field for persisted agent sessions
- Included session directory in vault initialization process
- Implemented session retention period with configurable days
- Added automatic cleanup of expired session files
- Introduced session cleanup flag to prevent duplicate operations
- Updated project path calculation to use vault path directly
- Removed fallback streaming implementation from base class
* feat(agent): add session management and cleanup functionality
- Added session_dir configuration field for persisted agent sessions
- Included session directory in vault initialization process
- Implemented session retention period with configurable days
- Added automatic cleanup of expired session files
- Introduced session cleanup flag to prevent duplicate operations
- Updated project path calculation to use vault path directly
- Removed fallback streaming implementation from base class
* refactor(application): restructure job startup order and improve error handling
- Change job startup sequence from background-last to base-stream-background-cron
- Import specific job types (BackgroundJob, CronJob, StreamJob) instead of generic BaseJob
- Update isinstance checks for proper job type identification
- Implement robust error handling during component closure with preserved exceptions
- Modify job merging to combine config and call-time kwargs in BaseJob and StreamJob
- Update service job registration to return boolean success indicators
- Add timezone support for cron job scheduling
- Enhance keyword index persistence with component-specific filenames
- Add comprehensive file store consistency tests and search filtering capabilities
- Include tokenizer stopwords in package distribution
- Fix prompt handler validation behavior and error messages
* fix(core): handle exceptions during application startup and improve validation
- Add exception handling around component startup to close started components on failure
- Replace assertions with runtime checks in claim_channel step for Python -O compatibility
- Add input validation for config parser including empty keys and non-mapping roots
- Enhance environment variable expansion to convert scalar types
- Add support for relative config file paths by searching in config directory
- Validate 2D array requirements in batch cosine similarity function
- Update channel notify step to return proper response objects
- Pass client-specific arguments through CLI to HTTP client initialization
- Add comprehensive tests for error conditions and edge cases
* feat(graph): add Neo4j backend support with enhanced health monitoring
- Implement Neo4jFileGraph component with connection constraints and async operations
- Add cached count tracking for nodes, edges, and virtual nodes in Neo4j backend
- Update health check to include Neo4j status reporting with memory usage
- Modify LLM demo steps to always register add tool without conditional flag
- Enhance AddStep to handle numeric string conversion and input validation
- Add comprehensive unit tests for Neo4j integration and error handling scenarios
- Remove deprecated use_add_tool parameter from LLM demo components
- Update integration tests to reflect simplified tool registration approach
* feat(file_io): enhance file I/O operations with path validation and large file handling
- Add resolve_path function with comprehensive path validation and security checks
- Implement read_file_lines_safe for efficient reading of large files by line ranges
- Integrate path validation across all file I/O operations to prevent directory traversal
- Add proper error handling for invalid paths and file access issues
- Enhance daily index operations with path resolution and error reporting
- Add 'changed' field to index responses to track file modification status
- Update file listing operations to use secure path resolution
- Add support for JSONL files in default scanning operations
- Improve move and delete operations with proper path validation
- Add comprehensive path validation tests and security checks
* refactor(steps): update file I/O and prompt handling implementations
- Add module docstring to file_io/__init__.py
- Remove unused validate parameter from prompt_format method
- Update import path from reme.reme to reme4.reme in common_utils.py
- Add missing docstrings to test classes and methods
- Remove deprecated test_format_missing_variable_no_validate test
- Simplify assertion in test_job.py using not operator
- Update import statement in test_utils.py for common_utils
- Add docstrings to dummy classes and functions in tests
- Rename variable in get_node_embeddings for clarity
* refactor(steps): restructure step modules and update change handling
- Split monolithic steps module into channel, common, evolve, file_io, index, and transfer submodules
- Replace ScanStoreChangesStep and ScanCatalogChangesStep with unified InitChangesStep
- Remove ForeachDispatchStep and replace with direct dispatch_steps mechanism in InitChangesStep
- Update configuration to use new init_changes_step with dispatch_steps pattern
- Add coalesce_changes utility for collapsing duplicate file change events
- Enhance AutoResourceStep to handle batch changes instead of single file operations
- Introduce ClearStoreStep to replace ClearAndScanStep functionality
- Add async locks to LocalFileCatalog for thread-safe operations
- Update documentation to reflect new directory structure and session organization
* test(steps): add comprehensive unit tests for background steps and search functionality
- Add new test_background_steps.py with initialization and dispatch update tests
- Add test_index_update_loop_init_dispatch_updates_store_across_batches function
- Add test_digest_watch_loop_init_dispatch_updates_named_catalog_and_logs function
- Create new test_search_step.py with complete SearchStep unit test coverage
- Implement FakeSearchStore for isolated SearchStep testing without external dependencies
- Add hybrid search RRF merging test with vector and keyword result fusion
- Include keyword-only search test with min_score filtering functionality
- Add empty query validation test with early failure mechanism
- Test vector and keyword search method calls with proper parameter passing
- Verify score handling and result ranking in hybrid search scenarios
* refactor(file_io): remove session_agent prefix from daily note filenames
- Removed 'session_agent_' prefix from daily note file naming pattern
- Updated all references in auto_dream, auto_memory, auto_resource, and daily_steps
- Modified config documentation to reflect new filename pattern
- Changed session file storage location in auto_memory to reme_session/dialog/
- Added validate_session_id and write_file_safe imports to file_io module
- Updated tests to match new filename convention without 'session_agent_' prefix
- Fixed day index refresh logic to properly update note count descriptions
- Adjusted proactive step to use new file path pattern for session notes
* feat(auto_resource): change resource processing to use same-name daily notes
- Replace MD5-based session ID generation with UUID5 for agent sessions
- Compute note stem from resource filename instead of hashing for daily note naming
- Update delete handler to use note stem instead of session ID for file lookup
- Modify upsert handler to use note stem as session ID parameter
- Change execute method to require changes as list of dictionaries
- Update test cases to use changes array instead of individual file_path and change parameters
- Adjust test assertions to verify same-name daily note creation and modification
- Refactor session state storage to use AgentScope format and location
- Remove deprecated session_state file handling in favor of new note system
* docs(structure): update resource naming convention in documentation
- Change resource naming from hash-based to stem-based format
- Update file path references from resource_{hash(resource_name)}.md to {resource_stem}.md
- Modify documentation to reflect new resource storage structure
- Adjust auto-resource saving location to use resource stem instead of hashed name
* refactor(evolve): split auto_dream into multi-step pipeline with dedicated dream modules
- Replace single AutoDreamStep with 4-step pipeline: extract, integrate, topics, finish
- Create new dream module structure under reme4/steps/evolve/dream/
- Remove old dream.py, auto_dream.py, and daily_topics.py files
- Add DreamExtractStep, DreamFinishStep, DreamIntegrateStep, DreamTopicsStep, ProactiveStep
- Update evolve init to import new dream step classes instead of old modules
- Document complete auto_dream logic breakdown and refactoring plan in markdown
- Consolidate dream-related functionality into focused, testable components
- Maintain LLM integration while improving step separation and error handling
* refactor(dream): update system prompts and integration logic
- Replace 'Phase 1/2' terminology with descriptive agent names in prompts
- Update extraction and integration prompts to clarify unit processing flow
- Add explicit instructions about provenance tracking and wikilink handling
- Enhance validation for source material references in personal preferences
- Add fallback mechanism to preserve topics when selection fails
- Include punctuation handling guidelines for YAML parsing
- Add comprehensive tests for wikilink graph relationships
- Create new configuration file with complete service definitions
* refactor(steps): remove auto_dream and dream steps, update config access
- Removed auto_dream step implementation and its associated logic
- Removed dream step implementation including extract and integrate phases
- Replaced direct app_context.app_config access with config_value method
- Added config_value helper method to BaseStep for unified config access
- Updated auto_memory to use session_dir config and add source conversation links
- Modified auto_resource to use config_value for directory paths
- Updated daily_* steps to use config_value for daily directory
- Added exception raising in bm25_index save method on failure
- Introduced SOURCE_CONVERSATION_KEY constant for tracking source sessions
* refactor(embedding): update embedding component to use credential-based initialization
- Replace model_cls with credential_cls for authentication handling
- Update configuration structure to separate credential and parameters
- Modify health check to access model name through new attribute path
- Change input parameter from 'text' to 'inputs' for generic handling
- Add credential initialization and parameter parsing in _start method
- Update agentscope dependency to version 2.0.2
- Remove direct model class references in favor of credential-based lookup
* feat: add cron scheduling support and enhance Claude Code integration
- Introduce CronStep for periodic job execution with support for cron
expressions, daily schedules, and fixed intervals
- Add automatic session management to Claude Code agent wrapper with
cache-friendly defaults for system prompts and setting sources
- Implement fork session support with proper validation
- Enhance auto-dream functionality to dispatch per-file jobs instead
of direct method calls for better backend agnosticism
- Add session ID tracking to auto-resource operations
- Remove deprecated download step component
- Update auto-dream job naming from auto-dream to auto_dream
- Add croniter dependency and update package data to include markdown
files
* feat: add CronJob component and rename cron step to cron job
* refactor(agent_wrapper): update agent wrapper implementations and config defaults
- Set default timezone to Asia/Shanghai in application config
- Add AgentScope imports and configure ReAct, context, and model configs
- Simplify __all__ export formatting in agent wrapper init
- Remove redundant docstring details from agent wrapper classes
- Optimize tool result handling with state assignment simplification
- Add permission context and state management for AgentScope backend
- Update Claude Code wrapper tool creation and server registration logic
- Configure default agent settings including permission mode and retry limits
- Remove obsolete comments and streamline code structure
* fix(agent): add output schema validation and BaseModel support
- Added type assertion to ensure output_schema is a dict in as_agent_wrapper
- Imported BaseModel from pydantic in base_agent_wrapper
- Modified set_output_schema to accept both dict and BaseModel types
- Added automatic conversion of BaseModel to JSON schema
- Updated method documentation to reflect new type support
* refactor(agent): replace direct agent instantiation with agent wrapper component
- Removed manual Agent creation and initialization in llm_demo step
- Integrated agent_wrapper component as dependency in base step
- Updated llm_demo step to use agent_wrapper.reply method instead of direct agent calls
- Modified structured output handling to work with new agent wrapper interface
- Simplified agent configuration by using wrapper's built-in functionality
- Updated documentation to reflect agent wrapper usage instead of direct as_llm access
- Removed redundant imports related to manual agent management
* feat(agent): add streaming support and refactor agent wrapper components
- Introduce reply_stream method in base agent wrapper with fallback implementation
- Add _build_agent helper method to AsAgentWrapper for agent instantiation
- Implement structured output generation with proper model assertions
- Update StreamLLMDemoStep to use agent_wrapper instead of direct Agent calls
- Replace manual streaming logic with execute_stream_task utility function
- Change default system prompt to provide detailed responses instead of concise ones
- Add colored output support for different chunk types in streaming demos
- Refactor test cases to use async task execution with streaming verification
* refactor(agent): remove session_id parameter from reply methods
- Removed session_id parameter from ASAgentWrapper.reply method signature
- Removed session_id parameter from BaseAgentWrapper.reply abstract method
- Removed session_id parameter from CCAgentWrapper.reply method signature
- Updated reply_stream methods to remove session_id parameter across all wrappers
- Modified CCAgentWrapper to use dynamic options assignment instead of hardcoded properties
- Set default system_prompt in config instead of hardcoded in code
- Increased default max_turns from 10 to 50 in configuration
* config: update default configuration and script entry point
- Change resource_dir from empty string to 'resource'
- Update command line entry point from 'reme4' to 'reme'
* feat(agent): add session state persistence and forking support
- Implement AsStateHandler for AgentState JSONL serialization
- Add session_id parameter to AsAgentWrapper.reply method
- Create timestamp-based session file paths with timezone support
- Load existing session state from JSONL files when session_id provided
- Save updated session state after each agent interaction
- Support session forking with UUID generation for new sessions
- Add integration tests for session persistence and forking scenarios
- Include temporary directory utilities for testing isolated sessions
- Ensure parent directories are created for session files automatically
* refactor(auto_memory): replace transcript parsing with direct message handling
- Remove transcript loading logic and related dependencies
- Add session message saving functionality with deduplication
- Use agent wrapper instead of direct AgentScope agent instantiation
- Simplify timezone handling using shared now utility
- Update logging and response metadata structure
- Remove unused imports and toolkit management methods
- Change session file naming from session_{id}.jsonl to session_agent_{id}.jsonl
* refactor(steps): move channel steps from index to channel module
- Move ChannelNotifyStep from .index.channel_notify to .channel.channel_notify
- Move ClaimChannelStep from .index.claim_channel to .channel.claim_channel
- Update __init__.py imports to reflect new module structure
- Reorganize steps list in __init__.py with channel section before index
- Add proper file prefix handling in daily index processing
- Update test imports to use new channel module location
* feat(evolve): add auto_resource step for interpreting resource files
- Add AutoResourceStep to interpret resource files into daily notes via an agent
- Implement resource file parsing with date and filename extraction logic
- Add session ID computation using MD5 hash of filename
- Create delete and upsert handlers for resource file operations
- Add truncation and sanitization functions for tool output in auto_memory
- Register auto_resource step with proper parameter validation
- Add configuration for resource watch loop with file extension filters
- Update default YAML config to include resource watch and digest watch loops
- Add shared watch-rule logic for scan_changes and watch_changes steps
- Implement foreach_dispatch and log_changes steps for change processing
- Rename update_store_index_loop to index_update_loop in configuration
- Refactor file chunking interface from parse to chunk method
- Remove unused imports and dependencies in auto_dream step
- Fix path iteration formatting in daily_index utility function
- Add comprehensive integration tests for auto_resource functionality
* refactor(auto_resource): format function call with multi-line parameters
- Reformatted await _handle_upsert call to use multiple lines for better readability
- Removed unused imports from scan_changes.py including BaseFileCatalog and ComponentEnum
- Added date parameter to RuntimeContext initialization in test cases
- Updated expected file paths in test assertions to include session_agent prefix
- Formatted long assertion statements across multiple lines to maintain character limit
- Corrected wikilink references from generic names to session_agent prefixed names
* refactor(file_chunker): replace file parser with file chunker component
- Rename file_parser module to file_chunker across codebase
- Update BaseFileParser to BaseFileChunker with corresponding component type
- Rename LinkedFileParser to MarkdownFileChunker for markdown-specific chunking
- Rename ChunkedFileParser to DefaultFileChunker for default byte-based chunking
- Update documentation references from file_parser to file_chunker
- Modify dependency injection in BaseStep to use file_chunker instead of file_parser
- Update configuration and component registration to use new chunker naming
- Rename all related test files and update test assertions accordingly
- Add recursive option to scan_store_changes_step in default configuration
* feat(database): enhance Neo4j connection with environment variable support
- Add support for NEO4J_PASSWORD environment variable as fallback
- Make password parameter optional in constructor with validation
- Update chromadb dependency from 1.3.5 to 1.5.7
- Configure CORS credentials based on origin settings
- Import os module for environment variable access
* feat(config): add timezone support and remove unused dialog directory
- Added timezone field to application config with IANA timezone support
- Removed unused dialog_dir configuration and related directory creation
- Replaced date.today() with timezone-aware now() function across daily operations
- Created evolve module with timezone-aware datetime functionality
- Updated daily_create, daily_list, and daily_reindex steps to use timezone-aware dates
* refactor(steps): update file chunker implementation
- Replace ChunkedFileParser with DefaultFileChunker in background steps
- Add module docstring to evolve steps package
- Update return type annotation to reflect new chunker class usage
* refactor(components): rename embedding and llm components to as_embedding and as_llm
- Rename reme4/components/embedding to reme4/components/as_embedding
- Rename reme4/components/llm to reme4/components/as_llm
- Update all imports and references from embedding to as_embedding
- Update all imports and references from llm to as_llm
- Change BaseEmbedding to BaseAsEmbedding and update inheritance
- Change BaseLLM to BaseAsLLM and update inheritance
- Update component types from LLM/EMBEDDING to AS_LLM/AS_EMBEDDING
- Update configuration keys from embedding/llm to as_embedding/as_llm
- Update all property references from llm to as_llm in step classes
- Update test assertions to use new component enum values
* refactor(embedding_store): rename embedding parameter to as_embedding
- Updated configuration key from 'embedding' to 'as_embedding'
- Renamed class attribute from 'embedding' to 'as_embedding'
- Updated method calls to use 'as_embedding' instead of 'embedding'
- Changed parameter name in constructor from 'embedding' to 'as_embedding'
- Updated documentation to reflect new parameter name
- Modified health check to use 'as_embedding' property
* feat(agent_wrapper): add unified agent wrapper component with multiple backends
- Introduce BaseAgentWrapper abstract base class for agent implementations
- Add AsAgentWrapper implementation using AgentScope framework
- Add CcAgentWrapper implementation using Claude Code SDK
- Register agent_wrapper component type in ComponentEnum
- Configure default agent_wrapper settings in default.yaml
- Implement tool integration for both AgentScope and Claude Code backends
- Support fluent configuration via set_system_prompt() and add_tools() methods
* feat(agent-wrapper): add structured output support for agent wrappers
- Import SystemMsg in AsAgentWrapper for structured output handling
- Add output_schema parameter support in AsAgentWrapper with generate_structured_output
- Implement set_output_schema method in BaseAgentWrapper for chaining configuration
- Add output schema support in CcAgentWrapper with JSON schema format option
- Return structured output when available in CcAgentWrapper response
- Refactor kwargs handling to use default values consistently across wrapper classes
* feat(file_store): add concurrency protection to LocalFileStore.dump()
* feat(file_catalog): replace file_store with file_catalog in DreamStep
* feat: add ChannelSink for Claude Code channel notifications
* feat(auto-memory): add transcript_path support and enhance metadata
* feat(config): add jsonl support and update LLM integration tests
- Added jsonl extension to supported extensions in chunked backend
- Refactored LLM integration tests to use async functions instead of nested runs
- Created helper functions _run_basic_chat, _run_with_tool, _run_structured_output, _run_structured_output_enum
- Implemented _run_all function to execute all test scenarios sequentially
- Updated main execution block to use asyncio.run with consolidated test runner
- Maintained all original test functionality while improving code structure
* feat(config): add dialog directory configuration and reorganize vault structure
- Add new dialog_dir field for dialog memory storage
- Reorder directory initialization sequence in application setup
- Simplify vault_dir description in configuration schema
- Update thread_pool_max_workers description to be more concise
- Move resource_dir definition earlier in the configuration schema
- Remove redundant text from digest_dir description
* docs(reme): update design documentation with layered memory architecture
- Replace quick test section with comprehensive layered memory structure
- Add detailed explanation of three-tier memory organization (resource, daily, digest)
- Document Obsidian-compatible Markdown format with YAML front matter
- Describe four types of wikilink syntax and semantic linking features
- Explain AST-aware semantic chunking for document parsing
- Detail self-evolving system with auto-resource, auto-memory, and auto-dream
- Document directory structure and lifecycle characteristics
- Add comprehensive table showing content nature, triggers, and examples
- Include semantic link extraction and knowledge graph formation processes
- Describe automated indexing and relationship building workflows
* docs(reme): update design documentation with simplified structure and clearer explanations
- Simplified directory structure overview with cleaner formatting
- Updated memory layering explanation with more concise descriptions
- Improved table layouts for better readability
- Clarified auto-resource, auto-memory, and auto-dream processes
- Streamlined indexing and search mechanism descriptions
- Enhanced component system documentation with clearer backend options
- Refined job list with more precise functional descriptions
- Modernized layout diagrams and process flows
- Consolidated repetitive content while maintaining comprehensive coverage
* docs(reme): add application scenario documentation for financial industry use case
- Document comprehensive example of ReMe usage in新能源 industry research
- Detail the week-long process of automatic knowledge graph construction
- Explain the auto-memory and auto-dream pipeline with concrete examples
- Describe the extract and integrate phases for creating wiki nodes
- Illustrate cross-file linking through relates_to and derived_from predicates
- Show progressive graph growth from daily sessions to complete ecosystem
- Demonstrate hybrid retrieval with vector and keyword search capabilities
- Provide detailed directory structure and file organization patterns
- Explain the three-phase workflow: ingestion, processing, and retrieval
- Document the financial analyst persona and their information management needs
* style(config): fix spacing in thread_pool_max_workers field definition
- Corrected spacing around description parameter in Field definition
- Simplified multi-line assertion to single line in LLM integration test
* refactor(vector_store): make obvec and zvec vector stores optional dependencies
- Removed direct imports of ObVecVectorStore and ZvecVectorStore from init file
- Added try-except blocks for conditional importing of optional vector stores
- Updated error handling to check for both pyobvector and sqlalchemy in ObVecVectorStore
- Renamed _OBVECTOR_IMPORT_ERROR to _OBVEC_IMPORT_ERROR for consistency
- Moved pyobvector and related dependencies to optional 'obvec' extra
- Added separate 'zvec' optional dependency group
- Updated package configuration to exclude reme4 module patterns
- Removed reme4 entry point from console scripts
- Bumped version from 0.3.1.9 to 0.3.1.10
* refactor(dependencies): reorganize project dependencies and add optional seekdb support
- Move sqlite-vec, prompt_toolkit, and rich to earlier in dependencies list
- Remove pyseekdb from main dependencies and create separate seekdb optional dependency group
- Reorder pyyaml to later in the dependencies list
- Maintain all existing dependency versions while improving organization
* chore(deps): remove faiss-cpu dependency from pyproject.toml
- Removed faiss-cpu>=1.7.4 from the faiss dependency group
- Cleaned up unused faiss dependency configuration
- Updated project dependencies to exclude faiss-cpu package
* refactor(embedding): replace embedding model with embedding store architecture
- Remove as_token_counter component and its estimated token counter implementation
- Replace BaseEmbeddingModel with BaseEmbedding that wraps AgentScope embedding models
- Add support for multiple embedding providers (OpenAI, DashScope, Gemini, Ollama)
- Introduce BaseEmbeddingStore and LocalEmbeddingStore for caching and persistence
- Update component registry to use new embedding and embedding_store types
- Modify file stores to use embedding_store instead of embedding_model
- Update health check to monitor embedding_store instead of embedding_model
- Change default config to use embedding_store with local backend
- Add estimate_token_count utility function to utils module
* refactor(llm): replace as_llm components with unified llm implementation
- Remove deprecated as_llm and as_llm_formatter modules
- Add new llm module with BaseLLM and provider-specific implementations
- Update component registry to use LLM instead of AS_LLM
- Replace all as_llm/as_llm_formatter references with llm in steps
- Update configuration schema to use llm instead of as_llm
- Rename integration test file from test_as_llm to test_llm
- Add proper docstrings to embedding store dimension property
- Add pylint disable comment for embedding model call
- Remove unused FormatterBase import in base_step
- Update token_utils with function docstring
* refactor(evolve): replace ReActAgent with Agent and update message handling
- Removed FlexReActAgent class and direct ReActAgent imports
- Updated Agent instantiation to use new constructor parameters
- Changed message content to use TextBlock format instead of plain strings
- Modified timestamp access from msg.timestamp to msg.created_at
- Updated metadata access pattern for structured outputs
- Replaced Msg.from_dict with Msg.model_validate in auto_memory.py
- Updated test mocks to patch Agent instead of ReActAgent
- Changed message serialization from to_dict to model_dump in tests
- Moved component references to base class definition
- Updated demo tools to return strings instead of ToolResponse objects
* feat(step): migrate to FunctionTool and add streaming support
- Replace deprecated ToolResponse with FunctionTool in base_step.py
- Remove unused TextBlock import from base_step.py
- Update job registration to use new FunctionTool API
- Add thinking_budget parameter to llm_demo configuration
- Introduce StreamLLMDemoStep with streaming output capability
- Add structured output support to LLMDemoStep via generate_structured_output
- Implement streaming event handling for text/thinking/tool calls
- Add integration tests for embedding functionality
- Add integration tests for structured output and streaming features
- Update tool usage in demo steps to use new function naming convention
* fix(ci): correct package installation path in unittest workflow
- Updated pip install command to use proper package path "./reme4[dev,core]"
- Fixed dependency installation step in CI workflow configuration
* chore(workflow): update python versions in unittest workflow
- Remove Python 3.10 from test matrix
- Add Python 3.11 to test matrix
- Add Python 3.12 to test matrix
- Keep Python 3.13 in test matrix
- Update matrix configuration for better version coverage
* fix(health): handle missing dimensions attribute in embedding status
- Wrap dimensions access in try-except to prevent AttributeError
- Return None when dimensions attribute is not available
- Maintain backward compatibility for components without dimensions
test(component): add comprehensive tests for BaseComponent and related classes
- Add tests for Dependency class including repr and attribute access
- Add tests for bind method with various scenarios and edge cases
- Add tests for lifecycle management and async context handling
- Add tests for standalone and context-bound dependency resolution
- Add tests for ComponentMixin path utilities
test(common): update LocalFileStore initialization parameter
- Change embedding_model parameter to embedding_store in test setup
- Update all affected test files consistently
test(registry): add complete test suite for ComponentRegistry
- Add tests for register method with explicit names and defaults
- Add tests for decorator registration pattern
- Add tests for get_all method returning copies
- Add tests for unregister and clear operations
- Add tests for error handling of invalid registrations
test(job): add comprehensive tests for BaseJob and BackgroundJob
- Add tests for step resolution and exception handling
- Add tests for backoff delay calculation with jitter
- Add tests for supervisor loop restart behavior
- Add tests for task shutdown and cancellation
test(prompt): add complete test suite for PromptHandler
- Add tests for prompt loading from dictionaries and files
- Add tests for internationalization and language fallback
- Add tests for flag filtering and variable substitution
- Add tests for format validation and error handling
test(runtime): add basic tests for RuntimeContext dictionary access
- Add tests for item getting, setting and containment checks
- Add tests for missing key error handling
* feat(evolve): add permission context and agent state management
- Import PermissionContext, PermissionMode and AgentState modules
- Add state configuration with bypass permission mode to AutoDream agents
- Add state configuration with bypass permission mode to AutoMemory agents
- Implement static _to_msg method for message validation and formatting
- Refactor message processing to use the new _to_msg method
- Ensure proper content structure for text blocks in message conversion
* style(tests): update test files with linting rules and code improvements
- Add missing pylint disable directives for docstring and attribute warnings
- Replace lambda expressions with proper function definitions in test cases
- Import Path directly instead of using lambda with __import__
- Simplify assertion checks by using truthiness instead of equality to empty dict
- Remove unused imports and reorder imports consistently
- Format dictionary literals with proper indentation and line breaks
