* feat: refine local-first research workflows
* fix: delegate structured output tool choice
* refactor(auto-fin): fetch and filter rolling CLS news
* fix(auto-fin): keep imports portable across platforms
* feat(auto-fin): expose CLS fetch controls
* fix(auto-fin): propagate configurable news window
* feat(auto_fin): normalize hybrid wikilinks in report body
- Add _normalize_hybrid_wikilinks method to remove redundant Markdown destinations
- Use regex to identify hybrid wikilinks with optional destinations
- Replace redundant destinations with simpler wikilink format for clarity
- Ensure normalization is failure-safe with exception handling and logging
- Update report body normalization process to apply hybrid wikilink fix
- Add unit tests to verify correct normalization and failure safety behavior
* fix(dream): serialize integration with application-wide asyncio lock
- Add application-wide asyncio.Lock to serialize digest writes during integration
- Update _snapshot_digest to capture metadata per bucket
- Validate bucket association when recovering from file changes
- Add tests ensuring recovery only from the correct bucket
- Add tests confirming integration lock is shared across application context
- Enhance strict topic YAML loading validation in dream utils
- Add tests for strict topic loading rejecting invalid or lossy fields
* fix(cookbook): enable configurable job_tools for digest and merge steps
- Update daily_cookbook.yaml to add job_tools: [memory_search, read] in digest steps
- Modify DailyPaperDigestStep to read job_tools from kwargs instead of fixed list
- Modify AutoFinMergeStep to similarly read job_tools from kwargs
- Update tests to pass job_tools explicitly when invoking these steps
- Remove hardcoded _TOOLS constants and replace with dynamic job_tools handling
* fix: retry incomplete dream receipts
* perf(pdf): increase max PDF pages limit from 20 to 35
- Updated configuration max_pdf_pages from 20 to 35 in daily_cookbook.yaml
- Modified code to extract up to 35 pages instead of 20 in analyze.py
- Updated README and README_ZH to document the increased max_pdf_pages
- Adjusted unit test assertions to reflect new max_pdf_pages limit of 35
* fix memory integration and daily paper links
* docs clarify cookbook tool usage
* 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
* 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
* 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
