* feat: add entry-point plugin system
* fix: harden plugin config and client loading
* docs(workflow): add detailed manual for publishing reme-auto-fin to PyPI
- Provide step-by-step instructions for updating project.version and merging branches
- Explain dependency verification for reme-ai on PyPI during build
- Specify requirements for GitHub Actions secret configuration and version uniqueness
- Describe manual workflow triggering and input of version number
- Recommend publishing order for related projects
- Clarify that only manual dispatch triggers publishing, no automatic triggers on push or tag
* feat: support plugin-defined component types
* refactor: simplify plugin configuration
* fix: isolate plugin loading and defer client fallback
* refactor: freeze built-in component registry
* fix: isolate config entry point loading
* fix: complete auto-fin package metadata
* fix(packaging): harden the Studio release workflow
* chore(daily-paper): tune scheduled discovery defaults
* fix(docs): link the ReMe blog to GitHub Pages
* fix(docs): increase Chinese hero title spacing
* refactor(docs): share hero title line spacing
* fix(docs): keep desktop hero copy on two lines
* fix(docs): widen the home hero description
* style(docs): loosen hero title line height
* fix(docs): hide Markdown frontmatter in rendered pages
* docs(readme): simplify installation and remove standalone ReMe Studio instructions
- Remove references to separate ReMe Studio package and static build steps
- Clarify that `core` extra includes common integrations including Studio
- Update installation instructions to use `pip install -e ".[core]"`
- Remove detailed Studio usage and frontend development instructions
- Note that Studio is included with `core` and optional via `web` extra
- Simplify Quick Start guide by removing Studio usage step
- Remove mentions of serving Studio with HTTP service when using extras
- Update both English and Chinese README files accordingly
* docs(readme): streamline and clarify memory design and operations
- Remove redundant explanations about core extra installation
- Simplify memory processing flow description for clarity
- Clarify memory workspace directory default and customization
- Condense automatic memory flow to emphasize rebuildable metadata
- Refine search functionality explanation with RRF fusion details
- Shorten and clarify agent integration description, removing redundancy
- Update and simplify the operations command list, removing less common commands
- Revise community and support section for conciseness and clarity
- Maintain parallel updates in both English and Chinese README files
* test(bump_version): add tests for version bumping and consistency checks
- Add dynamic loading of bump_version and package_studio scripts for testing
- Test that studio package and dependencies have matching versions
- Implement fixtures to write temporary version files for testing
- Add test ensuring bump_version updates all relevant files and dependencies
- Add test to reject inconsistent version sources before writing
- Refactor tests to use common REPOSITORY path variable
- Include imports and setup for pytest in test file
feat(bump_version): create script to update ReMe and Studio versions
- Implement version reading from __init__.py and pyproject.toml files
- Validate current versions are consistent across files before updating
- Update version strings atomically to avoid partial writes
- Ensure exact pinning of studio dependency in main package extras
- Validate new version format against a safe pattern
- Provide CLI interface to bump versions from command line
- Raise errors if expected version declarations or pins are missing or duplicated
* fix(release): validate split package publishing
* fix(release): improve validation diagnostics
* fix(release): sync docs and workflow inputs
* fix(release): split PyPI publish jobs
* docs: update ReMe documentation URL
* docs: localize ReMe Studio social image
* docs(AGENTS): update agent guidelines and repository documentation structure
- Clarify coding agent guidance for keeping changes small and consistent
- Revise project principle descriptions for clarity and modern terminology
- Expand repository map with detailed component and folder explanations
- Add configuration and CLI usage instructions, including syntax and merging rules
- Elaborate on component, step registration, and application lifecycle processes
- Define jobs, steps, and state handling conventions for stateless design
- Specify workspace and file safety policies, including path restrictions and locking
- Update validation commands and testing environment recommendations
- Clarify coding and test conventions, including style and dependency policies
- Distinguish documentation boundaries and update website content contribution notes
- Reinforce change guardrails to avoid breaking backward compatibility and data loss
- Improve svg diagram formatting and textual details in auto dream and proactive flow image
* style(docs): fix font-family syntax in SVG style definitions
- Correct quotation marks around font-family names in memory-as-file.svg
- Standardize font-family formatting by removing unnecessary quotes in reme-blog-architecture.svg
- Ensure consistent CSS style formatting within SVG files for better rendering fidelity
* docs: add ReMe blog to news
* style(docs): inline svg styles and improve text formatting
- Convert multiline SVG style tags into single-line for compactness in multiple figures
- Remove redundant line breaks in subtitle text elements for consistency
- Shorten descriptive texts in SVG figures for clarity and conciseness
- Adjust font sizes and text for better readability in SVG elements
- Correct whitespace issues in Chinese markdown document for improved formatting
- Remove unused style blocks from framework structure SVG for cleaner code
* 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
Make "Experience-driven enhancement method" point to the archived benchmark page while keeping the arXiv link.
Co-authored-by: Cursor <cursoragent@cursor.com>
* docs(benchmark): archive ExpG tool-use results under toolmemory
Add ToolMemory benchmark materials and link them from the root and
benchmark READMEs so ReMe documents the ExpG tool-use enhancement work.
Co-authored-by: Cursor <cursoragent@cursor.com>
* docs: point ToolMemory news entry directly to the paper
Co-authored-by: Cursor <cursoragent@cursor.com>
* docs(benchmark): address ToolMemory review and pre-commit
Restore benchmark index READMEs, link ExpG to WangCan1178/ExpG instead
of ReMe version notes, and format tool_memory.py for CI hooks.
Co-authored-by: Cursor <cursoragent@cursor.com>
* docs(benchmark): align ToolMemory client with official ReMe APIs
Drop ExpG-only request fields and non-official metadata handling so the archived client matches add/summary/retrieve Tool Memory endpoints.
Co-authored-by: Cursor <cursoragent@cursor.com>
* docs(benchmark): fix trailing whitespace in ToolMemory READMEs
Co-authored-by: Cursor <cursoragent@cursor.com>
---------
Co-authored-by: Cursor <cursoragent@cursor.com>
* feat: add ssh proxy
* feat: add ssh proxy
* feat: add ssh proxy
* feat: add ssh proxy
* feat: add prompt
* feat: add agent wrapper
* feat: add agent wrapper
* feat: add agent wrapper
* feat: add tushare skill
* feat: add tushare skill
* feat: add tushare skill
* feat: add none stream
* chore(deps): update dependency versions in pyproject.toml
- Bump claude-agent-sdk from 0.2.123 to 0.2.126
- Upgrade pre-commit to version 4.6.1 or higher
- Upgrade pytest to version 9.1.1 or higher
* feat(agent_wrapper): add session compaction support and unify session commands
- Introduce compact_session method to BaseAgentWrapper and implement it in AsAgentWrapper, CcAgentWrapper, and CodexAgentWrapper
- Add session_command module with SessionCommandResult dataclass and handle_session_command function for /clear and /compact commands
- Update __init__.py exports to include session_command handlers
- Modify DingTalkWaitStep to handle session commands via handle_session_command function
- Remove streaming mode from DingTalkWaitStep and simplify reply handling to final Markdown replies only
- Add unit tests for session compaction methods and session command handling across wrappers and DingTalk integration
- Clean up and remove obsolete streaming and card rendering code from DingTalk wait step
- Adjust daily_cookbook.yaml to remove stream and card_update_interval config entries for DingTalk wait step
* feat(auto_fin): add Auto Fin simulated portfolio cookbook workflow
- Add comprehensive Auto Fin schema exports for multiple models and enums
- Implement base class and helpers for Auto Fin analysis steps
- Create file, state, and formatting utilities for Auto Fin with atomic file writes and locking
- Define Auto Fin pipeline with four analysis agents: backtest, event, portfolio, and US correlation
- Register Auto Fin package in cookbook workflows and schema initialization
- Add detailed documentation in markdown describing the system design, workflow, and data contracts
* feat(outbound_proxy): add application-scoped outbound HTTP proxy components
- Introduce BaseOutboundProxy and OutboundProxyEndpoint as core contracts
- Implement FixedHttpOutboundProxy for external HTTP proxy integration
- Add SshHttpOutboundProxy providing SSH-backed local HTTP proxy tunnels
- Register outbound proxy components in component registry and enumeration
- Update components package to include outbound_proxy module
- Add dependency on pproxy for SSH HTTP proxy bridging
- Include comprehensive unit tests covering proxy lifecycle, validation,
environment merging, error handling, readiness, and monitoring mechanisms
* refactor(network): replace SSH proxy with explicit HTTP outbound proxy
- Remove SSH proxy helper implementation and references in codebase
- Add support for explicit HTTP proxy URL in arXiv and HuggingFace clients
- Modify clients to use async context manager for consistent resource handling
- Update daily paper steps to forward outbound proxy configuration explicitly
- Change tests to cover new proxy usage model and remove SSH proxy mocks
- Add outbound proxy component configuration in daily_cookbook.yaml
- Ensure proxy URL usage disables environment trust in HTTP clients
- Fix app context component enum access to be defensive against missing keys
* feat(agent_wrapper): add managed proxy support for command environments
- Introduce BaseOutboundProxy binding in BaseAgentWrapper for outbound proxy management
- Add bash_environment and command_proxy_environment properties to apply proxy settings
- Update WorkspaceBackend instantiation in AsAgentWrapper to use bash_environment
- Inject managed proxy export commands into Claude Code Bash commands via hooks
- Enhance CodexAgentWrapper to include managed proxy in shell environment policy
- Modify daily_cookbook.yaml steps to specify outbound_proxy as default where needed
- Add comprehensive unit tests verifying managed proxy injection and environment isolation
- Ensure subprocess_environment remains unchanged while proxy is applied selectively to commands
* refactor(memory): replace search job_tools with memory in daily cookbook config
- Change workspace_dir default from .reme to reme_workspace
- Replace search job_tools with memory across multiple components and jobs
- Update descriptions to reflect long-term memory retrieval instead of search
- Modify system prompts to instruct using memory for retrieving notes
- Adjust unit tests to verify memory job_tools and job presence instead of search
- Ensure consistency in configuration and tests for memory backend usage
* refactor(config): rename memory to memory_search in daily cookbook config
- Change all occurrences of "memory" to "memory_search" in job_tools and job definitions
- Update related system prompts to reflect the new memory_search terminology
- Modify unit tests to assert the presence of memory_search instead of memory
- Ensure consistency across skills, job tools, and backend configurations in multiple components
* feat(auto_fin): add deterministic quantitative research and ranking fusion
- Introduce new schema models: EtfScore, RankingMetrics, ExtremeAnalysis,
DimensionRanking, and FusionRanking to represent deterministic research outputs
- Add ranking data to event, backtest, us_correlation, and portfolio analysis outputs
- Implement ranking_section renderer to format Top20 scores and diagnostics in Markdown
- Develop AutoFinQuantStep for deterministic ETF ranking using TuShare data, Polars,
and a custom extremely randomized tree ensemble
- Integrate quantitative rankings into backtest and portfolio analysis steps and reports
- Extend auto_fin pipeline with new quant_enabled and quant_required config options
- Enforce ranking constraints like unique codes, contiguous ranks, and normalized fusion weights
- Update analysis YAMLs with rules limiting data freshness, universe, and ranking usage
- Incorporate ranking outputs into all major markdown report bodies in Auto Fin pipeline
- Add concurrency-limited asynchronous TuShare client to fetch required market data
- Introduce cross-sectional rank correlation and NDCG metrics for ranking quality evaluation
* feat(auto_fin): implement stage-wise notification and reporting for analysis pipeline
- Refactor notification config in daily_cookbook.yaml to support dispatch steps
- Update AutoFinNotificationStep to deduplicate notifications per run stage
- Add _notify_stage method in pipeline to send notifications for each analysis stage
- Implement persistence and notification for event, backtest, US correlation, and portfolio stages
- Modify pipeline flow to persist reports and notify after each stage completion
- Adjust metadata to track notifications and errors per stage
- Update tests to verify stage-wise notification sending and deduplication
- Remove older combined report persistence in favor of modular stage handling
* feat(auto_fin): add outbound proxy support for Tushare API usage
- Introduce BaseOutboundProxy reference in AutoFinPipelineStep and AutoFinQuantStep
- Update TushareResearchClient and trade calendar fetch to accept and use proxy URL
- Create _ProxiedTushareApi adapter to route Tushare requests via explicit HTTP proxy
- Modify create_tushare_api utility to optionally return proxied API client
- Add unit tests covering proxy forwarding and client behavior with managed proxies
- Ensure proxy usage respects explicit proxy URL over environment fallback
- Integrate outbound proxy into data fetching and quantitative research steps
* feat(auto_fin): enforce checkpoint time validation and add state models
- Introduce AnalysisState base class and specific states for event, backtest, and US correlation analyses
- Replace analysis output types with corresponding state classes in run schemas
- Add require_checkpoint_reached method to validate decision_at/data_cutoff against current time
- Enforce checkpoint time checks before analysis steps in event, backtest, portfolio, and quant analyses
- Refactor quant data loading to include adjustment factors and apply price adjustments without fallback
- Update analysis YAML docs to require real-time checkpoint validation and forbid using future data
- Improve portfolio run serialization by excluding redundant legacy fields and nested proposed actions
- Add helper to extract readable sections from persisted checkpoint documents
- Fix event analysis output validation to reject events and sources with future timestamps
* feat(auto_fin): auto-select latest reached checkpoint if none specified
- Extend checkpoint config to accept empty string for auto selection
- Add static method to compute latest checkpoint reached by current time
- Modify pipeline step to auto-select checkpoint based on trade calendar and time
- Adjust force flag default depending on whether checkpoint is explicit or auto
- Log details when checkpoint is auto-selected to improve observability
- Add comprehensive tests for auto checkpoint selection logic and edge cases
- Remove deprecated default and required constraints from force parameter in config
* refactor(auto_fin): unify datetime comparison with compare_datetimes utility
- Replace direct datetime comparisons with compare_datetimes function calls
- Use cmp_to_key with compare_datetimes for sorting datetime tuples and lists
- Update validation logic in backtest, event, analysis, and ledger modules for consistent datetime handling
- Add unit tests to verify handling of naive and aware datetime comparisons in event and backtest validations
- Ensure marked_at and interval_end timestamps are set and compared consistently using compare_datetimes
- Improve correctness of ordering and conditional checks related to timestamps throughout auto_fin steps and ledger code
* feat(auto_fin): add datetime comparison helper for mixed timezone data
- Implement compare_datetimes function to handle naive and aware datetimes
- Ensure naive datetime is interpreted in the known timezone of the counterpart
- Facilitate comparisons between legacy and timezone-aware Auto Fin data
- Add module docstring explaining purpose of the helpers
* docs(auto_fin): enforce unique ETF representative per sub-theme in analysis rules
- Update backtest.yaml to recommend or highlight only one ETF per sub-theme for ETF analyses
- Modify event.yaml to map only one representative ETF per sub-theme, avoiding duplicate recommendations
- Revise portfolio.yaml to restrict holdings/buys to a single ETF per sub-theme, preventing repeated buys of highly overlapping ETFs
- Adjust us_correlation.yaml to retain only one representative A-share ETF per sub-theme for mapping or recommendation
- Add test to verify presence of new sub-theme uniqueness guidance in step prompts
* feat(auto_fin): separate draft model and include deterministic fusion ranking
- Introduce _PortfolioProposalDraft pydantic model for agent-authored fields before ranking
- Discard any "fusion_ranking" data from draft to prevent conflicts with canonical ranking
- Modify AutoFinPortfolioStep to receive draft, enrich with fusion_ranking, and produce final output
- Update tests to use _PortfolioProposalDraft and validate deterministic fusion ranking propagation
- Add async test verifying fusion ranking is correctly set in portfolio output with no errors
* refactor(auto_fin): rewrite and simplify Auto Fin schema and steps
- Remove legacy Auto Fin analysis step modules and helpers
- Replace complex ranking and portfolio models with simplified current-news models
- Update schema to focus on news-case workflow with new domain models
- Remove A-share decision checkpoints and backtest details from schema
- Simplify recommendation and decision output structures
- Clean up deprecated state and utility functions
- Update Auto Fin steps initialization to new pipeline steps only
- Improve uniqueness validation for themes and ETFs in research plan
* feat(auto_fin): implement full local cache and analysis workflow for Auto Fin
- Add AutoFinDataStep to prepare and cache daily TuShare data with lookback
- Add AutoFinAnalysisStep to analyze cached data and generate Markdown report
- Implement detailed time window, ETF filtering, and historical case validation
- Introduce YAML prompts for planning and decision-making steps
- Update .gitignore to include reme_workspace/
- Clean up config and import structure for auto_fin steps
- Remove old pipeline.py and consolidate functionality into new modules
- Use polars for efficient CSV reading and data processing
- Ensure atomic writes and strict JSON serialization for cache files
- Enforce rules on news timing, ETF universe, and historical case usage
* fix(auto_fin): restrict news data source to '财联社' in analysis and cache
- Update analysis templates to specify current news as from '财联社' only
- Modify news fetching functions to filter by source '财联社'
- Add validation method to check cached news source correctness
- Update news caching logic to exclude non-'财联社' news
- Enhance unit tests with multiple sources to ensure filtering works
- Confirm news API calls include source filter parameter as '财联社'
* refactor(auto_fin): convert I/O methods to asynchronous implementations
- Change _news, _dataset, and _theme_data methods to async for improved concurrency
- Move JSONL and CSV reading operations to asynchronous wrappers using asyncio.to_thread
- Remove synchronous _read_jsonl and _read_csv functions, integrate them as static async class methods
- Update cache validation methods to async, awaiting I/O operations accordingly
- Adjust usage of dataset and news retrieval in analysis step to await asynchronous methods
- Add async unit test to validate JSONL reading with unicode line separators
- Preserve existing functionality while enabling non-blocking file and data access
* fix(nx_file_graph): defer networkx import and improve dependency handling
- Move networkx import inside NxFileGraph constructor for lazy loading
- Raise ImportError with original exception context if networkx is missing
- Remove module-level fallback assignment of nx to None
- Expand test to block loading of multiple optional core dependencies eagerly
- Change exception type in test from ModuleNotFoundError to AssertionError
- Update test comments to reflect broader optional dependency checks
* feat(embedding_store): add quota retry delay mechanism for embedding requests
- Introduce quota_retry_delay parameter to configure wait time before retry on quota exhaustion
- Implement detection of insufficient quota errors in LocalEmbeddingStore without external SDK
- Add retry logic with custom delay when quota is insufficient during embedding requests
- Update configuration to set max_retries and quota_retry_delay defaults for embedding store
- Add unit tests covering quota exhaustion retry behavior with delay and opt-in control
- Ensure existing retry behavior remains unchanged if quota_retry_delay is not set
* feat(auto_fin): add detailed logging to analysis and data fetching steps
- Add _preview static method for bounded diagnostic output in analysis.py
- Log prompt start, completion, errors, and validation details in _reply method
- Add info logs for major processing steps in execute method of analysis.py
- Add debug and info logs for cache validation, data fetching, and pagination in data.py
- Log conditions for skipping reports and cache plans in data.py execute method
- Log download summaries and cache writes for news and ETF data
- Improve error logging with exception details in cache validation functions
- Ensure all logs include context such as record counts, paths, and parameters
* refactor(auto_fin): overhaul Auto Fin workflow and schema contracts
- Replace old Auto Fin schema models with comprehensive new data classes
- Remove legacy Auto Fin analysis step in favor of modular agent-based steps
- Introduce AutoFinAgentStep for validating structured agent replies
- Simplify data cleaning and JSONL writing utilities for news cache
- Remove synchronous and asynchronous dataset methods from analysis step
- Redefine Auto Fin analysis configuration for 360-day news retention and multi-step pipeline
- Remove embedded analysis prompt templates and replace with agent-driven logic
- Update __init__.py exports to match new step implementations and remove deprecated classes
- Improve error handling and validation in agent step reply processing
- Clean up redundant imports and unused code in analysis and data preparation modules
* feat(auto_fin): add detailed logging for analysis and data processing steps
- Add timing logs to measure agent prompt processing duration in analysis.py
- Log news cache hits and news write paths with record counts in data.py
- Include detailed info logs for news download start and completion in data.py
- Add start, progress, and completion logs with topic and event counts in history.py
- Log start and completion of merge step including path and ETF count in merge.py
- Add start and done logs with window and news counts in topic.py
* feat(auto_fin): enhance schema and steps with detailed ETF and event modeling
- Replace and add multiple AutoFin schema classes to support detailed ETF selection,
historical research, market analysis, forecast models, and report output with validation
- Implement Shanghai timezone normalization and strict validation in schema models
- Remove deprecated AutoFin analysis agent step and consolidate reply handling in base step
- Introduce AutoFinStep base class with shared helpers for prompt handling, data fetching,
logging, and JSONL file operations
- Add AutoFinDataStep to manage daily news data complete with schedule validation, caching,
and source validation logic
- Update cookbook configuration to customize auto_fin step parameters and simplify
outbound proxy settings
- Refactor imports and clean unused code for better maintainability
* feat(auto_fin): introduce detailed historical event resolution and market similarity analysis
- Add AutoFinHistoricalEventReference and AutoFinHistoricalSimilarity models for refined event referencing and similarity judgment
- Implement validation to ensure non-empty critical fields and uniqueness of historical news IDs
- Develop method to resolve Agent-selected historical event references from workspace files with strict path and existence checks
- Enrich historical events with market entry and future returns data after resolution
- Redesign market step to calculate similarity-weighted ETF forecasts based on matched historical event similarities
- Enforce validation on matched historical events for uniqueness and proper weight summation
- Simplify merge step output to final Markdown report without YAML frontmatter and redundant fields
- Update user instructions for history search, market, and merge steps to reflect new data structures and responsibilities
- Adjust test suite to cover new schema and step behavior changes, including enhanced validation and JSON output formats
* feat(auto_fin): add new cron jobs and output analysis jsonl
- Add new cron jobs auto_fin_1145_cron and auto_fin_1800_cron with auto_fin_steps
- Change auto_fin_0930_cron schedule to run Monday to Sunday
- Extend merge step to write analysis data to auto_fin_analysis.jsonl
- Update unit tests to verify new cron jobs and their steps configuration
* fix(auto_fin): improve atomic file write and refresh daily index
- Change temporary file naming to include UUID for uniqueness and hidden prefix
- Replace atomic write method from using Path.replace to os.replace with safe unlink
- Add import and use os.replace for safer file replace operation
- Refresh daily index after writing auto finance markdown and JSONL files
- Import and call refresh_day_index in merge step to update file index asynchronously
* docs(cookbook): add optional SSH proxy configuration in README files
- Introduce optional SSH proxy setup in auto-fin and daily_paper cookbooks
- Provide instructions to enable outbound proxy via `daily_cookbook.yaml` and environment variables
- Add `REME_PROXY_IP` and `REME_PROXY_ACCOUNT` environment variables descriptions in multiple README files
- Update English and Chinese README and README_ZH documents with proxy details
- Maintain consistent formatting of environment variable tables across documents
* fix(file_io): include schema_version in hidden metadata keys
- Added "schema_version" to _INDEX_HIDDEN_METADATA_KEYS in _daily_index.py
- Updated _render_notes_block to always include additional keys regardless of schema_version
fix(deps): move pproxy dependency to later in pyproject.toml
- Removed pproxy from early dependencies list
- Added pproxy back near the end of dependency list for better ordering
fix(outbound_proxy): require pproxy package for ssh_http proxy
- Added importlib.util check for pproxy package presence
- Raise RuntimeError if pproxy is not installed when using SSH HTTP outbound proxy
- Improved error message suggests installing reme-ai with 'core' extra
* docs(readme): update News section with new Cookbook workflows
- Clarify introduction of optional Cookbooks with Daily Paper and Auto Fin workflows
- Update English README to reflect both paper discovery and file-native ETF event research
- Revise Chinese README to include financial news and historical market data research capability
- Maintain announcement of paper acceptance at Findings of ACL 2026
* feat(auto_fin): add calculation results to final Markdown output
- Implement _calculation_results to summarize forecast for each ETF analyzed
- Include program-calculated results in the JSON input for the Markdown report
- Update YAML template to incorporate calculation results and adjust recommendation rules
- Refine recommendation logic to rely on event impact judgments combined with calculation outputs
- Modify tests to verify presence of calculation results and updated report content and format
* up prompt
* fix(keyword_index): ignore non-indexable chunks during keyword sync
- Add is_indexable method to base and BM25 keyword index classes to check text tokenizability
- Update local file store to exclude non-indexable chunks from expected document IDs to prevent rebuild
- Fix JSONL chunker to correctly handle Unicode line separator U+2028 inside JSON strings without splitting
- Add test to ensure non-empty but non-indexable chunk does not trigger keyword index rebuild
- Add test to verify U+2028 character does not cause incorrect JSONL record splitting
* feat(daily-paper): add daily paper cookbook workflow with schema and tests
- Introduce daily paper schema types (DailyBriefOutput, PaperInfo, PaperNoteOutput, etc.)
- Create daily paper cookbook module with analyze, collect, digest, rank, and select steps
- Add cookbook entry point and integrate into main steps module
- Replace job config export with daily brief output in schema exports
- Add comprehensive unit tests covering pipeline, filtering, and output generation
- Update dependencies including openai-codex and pypdf packages
- Configure standalone daily paper cron job with proper scheduling and routing
* test(daily_paper): update tests to use Claude Code wrapper exclusively
- Add test to verify web search is disallowed by default in Claude Code
- Update imports to include DailyBriefOutput, PaperNoteOutput, and PaperSelection schemas
- Change test name from standalone_config_has_backend_split to reflect Claude Code only usage
- Remove default agent wrapper and configure all steps to use Claude Code wrapper
- Rename select_wrapper to cc_wrapper for clarity and consistency
- Remove duplicate Claude Code wrapper initialization
- Update test assertions to verify output schema usage matches expected sequence
- Remove unused as_llm component from standalone configuration test
* refactor(agent-wrapper): simplify skill resolution logic across all wrappers
- Replace duplicate skill resolution code with centralized _resolve_project_skills method
- Add project_path property with configurable relative path resolution
- Introduce proper validation for skill names and directory existence
- Change Codex wrapper to use project_path instead of workspace_path for skills
- Add SKILL.md requirement validation for project skills
- Remove redundant skill processing logic from individual wrappers
* feat(daily_paper): add daily paper workflow with PDF analysis and brief generation
- Implement shared state management and file helpers for daily-paper steps
- Add PDF download and text extraction capabilities with arXiv integration
- Create paper collection step with Hugging Face weekly/monthly rankings
- Build ranking system using reciprocal-rank fusion with memory keyword scoring
- Add Claude Code integration for paper analysis and detailed note generation
- Implement digest step to create final five-minute brief from detailed notes
- Add configuration for standalone daily cookbook application with cron scheduling
- Create typed schema for paper information, selection, and output formats
- Add atomic file writing with temporary file safety mechanisms
- Implement exclusion logic for previously recommended papers and daily filters
* feat(daily_paper): add DingTalk notification integration and enhance logging
- Integrate DingTalk markdown send step to notify groups about daily paper briefs
- Add comprehensive logging throughout daily paper workflow including start/finish events
- Update daily paper analysis prompt to include code repository context requirement
- Configure DingTalk notification in daily_cookbook.yaml with app credentials
- Add dingtalk-stream dependency for proactive message API integration
- Enhance daily paper README with DingTalk notification section and updated flow chart
- Implement detailed logging for each step including paper processing and agent calls
- Add test coverage for DingTalk markdown sending functionality and configuration
- Update pre-commit config to exclude skills directory from checks
- Add .claude/skills to gitignore for local development environment
* refactor(dingtalk): move dingtalk_stream import to local scope and improve code safety
- Moved global dingtalk_stream import to local scope in send.py to avoid eager loading
- Added dynamic import with error handling for optional dependency cases
- Updated test suite to verify lazy loading behavior works correctly
- Fixed markdown title generation by using safe variable naming in wait.py
- Enhanced test coverage for arxiv PDF download caching functionality
- Updated application context initialization with proper resource directory configuration
- Modified paper metadata to include source PDF path reference in output files
* refactor(daily_paper): remove manifest system and store selection metadata in digest files
- Remove JSON manifest creation and storage functionality
- Store selection data directly in digest file frontmatter instead of separate manifest files
- Add load_saved_selection method to rebuild selection from digest and paper-note metadata
- Update README documentation to reflect new cookbook workflow architecture
- Modify test cases to verify selection metadata in digest files instead of manifest JSON
- Remove unused json import from multiple daily paper modules
- Integrate PaperSelection schema for proper data validation in stored metadata
* docs(daily_paper): add bilingual cookbook guides
* feat(core): add shell command execution and memory status reporting
- Introduce ShellStep for executing shell commands with timeout support
- Add StatusStep to report memory estimates for stateful data components
- Register shell and status commands in default configuration
- Update documentation with new reme status and shell command capabilities
- Implement comprehensive unit tests for both new step types
- Add support for asynchronous command execution with proper error handling
* feat(config): add log_config option to suppress config loading logs
- Add log_config parameter to resolve_app_config function with default True
- Conditionally log config loading messages based on log_config flag
- Update reme.py and service_utils.py to use log_config=False for client calls
- Suppress config logging in user-facing contexts to avoid output pollution
refactor(shell): rename command parameter to cmd for clarity
- Change 'command' to 'cmd' in default.yaml configuration schema
- Rename 'timeout' to 'shell_timeout' to avoid parameter name collisions
- Update ShellStep to accept both legacy and new parameter names
- Maintain backward compatibility with existing command/timeout usage
test(shell): add comprehensive tests for shell step parameter handling
- Add test cases for new cmd and shell_timeout parameter names
- Verify legacy command and timeout parameters still work
- Test blank command rejection message updated to use cmd
- Create integration test for shell parameter payload passing
* fix(shell): ensure proper environment loading and process timeout handling
- Move load_env() call to execute before parse_args() in main function
- Add proper process group killing for timeout scenarios on POSIX systems
- Implement recursive child process termination on Windows for proper cleanup
- Change parameter name from 'timeout' to 'shell_timeout' in shell execution
- Remove support for legacy 'command' and 'timeout' parameter names
- Update test cases to verify new timeout behavior and parameter requirements
- Add comments explaining component size tracking implementation details
- Set default version to 0.4.1.0
- Comment out embedding configuration in default.yaml
- Update README and README_ZH to clarify embedding components are disabled by default
- Add note explaining how to enable embedding-based semantic retrieval
- Adjust table formatting and descriptions in documentation
- Modify search command description to reflect vector search availability when enabled
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.
* 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
* 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
* 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
* 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
* docs(context): add comprehensive context management design documentation
- Create detailed Chinese documentation for CoPaw context management V2
- Document memory layer and file system cache architecture
- Explain Pre-Reasoning Hook workflow with four-step process
- Detail two-stage truncation strategy for tool results
- Add examples for Browser Use and ReadFile tools
- Include Mermaid diagrams for visual flow representation
- Update README with link to new context design document
- Fix minor formatting issues in existing documentation
- Add protection thresholds for Markdown files in truncation
- Document long-term memory trigger mechanisms
* docs(README): add latest articles section and CoPaw context management design doc
- Added "Latest Articles" section to README with table format
- Included link to CoPaw Context Management Design document
- Created comprehensive documentation for CoPaw context management V2
- Documented in-memory and file system layer architecture
- Explained pre-reasoning hook and context compaction process
- Detailed two-phase truncation strategy for tool results
- Described special handling for readFile tool and markdown files
- Added long-term memory trigger logic overview
- Included mermaid diagrams for visualizing context flow
- Add context data structure diagram showing compact_summary and file system cache
- Update ToolResultCompactor section with detailed truncation strategies for recent vs old messages
- Add parameter tables for tool result compaction with recent_max_bytes and old_max_bytes settings
- Update execution flow steps with detailed descriptions of each memory operation
- Add key parameters table including tool_result_compact_keep_n and memory_compact_reserve
- Include thinking enhancement feature description for summary generation quality improvement
- Update both English and Chinese README documentation consistently
* 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
Refine language for clarity and consistency throughout the README, including installation instructions, memory management descriptions, and community support sections.
