Remove path and line numbers from chunk ID calculation to improve
cache stability. The chunk identity now uses only the content hash
instead of including path::start::end coordinates.
This change removes the documentation about chunk identity format
and updates the hash_text call to use only the text content.
Add mistletoe as a project dependency for enhanced markdown parsing
capabilities. Refactor the LinkedFileParser to use a proper AST-based
approach with MdNode tree structure, replacing the previous flat token
processing method. The new implementation provides better handling of
markdown elements including tables, code fences, lists, and headings,
with improved chunking logic that maintains document structure in
generated content segments.
The changes include:
- Add mistletoe dependency to pyproject.toml
- Implement proper AST node representation with MdNode class
- Create recursive chunking algorithm with TOC preservation
- Add support for frontmatter extraction with FileFrontMatter schema
- Optimize leaf node splitting with proper boundary detection
- Include part numbering for split content pieces
- Replace legacy line-based chunking with AST tree approach that builds
a complete document skeleton with content inlined under relevant
sections
- Add new chunking parameters: chunk_chars (default 2000) and embed_toc
(default True) to control content size and TOC inclusion
- Implement recursive chunking algorithm that respects structural
boundaries (code lines, table rows, list items) and prevents splits
inside blocks
- Introduce part markers [Part X/N] for oversized leaf blocks that
require splitting
- Add CLI tool for inspecting parsed chunks and edges with options for
preview and configuration
- Refactor edge extraction to use FileEdge.from_text instead of
parse_wikilinks for consistency
BREAKING CHANGE: Chunk format changes significantly with full TOC
skeleton wrapping content, affecting embedding models expecting
breadcrumb prefixes.
docs(protocol): add typed edge link protocol documentation
Add comprehensive documentation for the link protocol supporting
typed edges in body text. This includes specification for three
legal inline forms (bare wikilink, line-level Dataview,
inline-bracketed Dataview), predicate syntax rules, and the
machine-managed Relations section convention for organizing
discovered edges.
fix(memory): update path reference from vault_root to working_dir
Change the memory_create operation's path anchoring from
vault_root to working_dir to maintain consistency with the
current working directory configuration.
refactor(components): remove edge_extractor module and simplify parsing
Remove the edge_extractor component module entirely and
inline edge extraction logic directly into LinkedFileParser
using parse_wikilinks utility. This simplifies the architecture
by eliminating the separate edge extraction component and
delegating edge discovery to the maintainer's enrichment operations.
feat(parser): update parse method signature and simplify edge extraction
Modify LinkedFileParser to return (FileNode, list[FileChunk])
tuple instead of ParsedFile, remove dependency on BaseEdgeExtractor,
and implement direct wikilink parsing from body text only.
```
docs: add ReMe2 architecture design documentation
- Add comprehensive design document (reme2.md) detailing the
three-layer architecture (L1/L2/L3) for the vault system
- Document new protocols for folder notes and memory management
- Specify interface contracts for memory_* and vault_* tools
- Outline implementation phases from current state to target
refactor: fix typo in personal retriever class
- Correct spelling error: 'retri eved_nodes' -> 'retrieved_nodes'
in PersonalRetriever.result assignment
chore: update gitignore with vault-related patterns
- Add '/vault' to ignore vault directory
- Add '/reme-plugin' to ignore plugin files
- Add '/reme2/vault' to ignore new vault implementation
```
- Introduce BaseFileParser abstract class with component registration
- Add MdFileParser implementation for markdown files with YAML frontmatter
- Create TextFileParser implementation with built-in chunking support
- Implement file suffix enumeration for parser type safety
- Add chunking logic with configurable token size and overlap
- Support text file parsing with error handling for encoding issues
- Include line number tracking and content hashing for file chunks
- Removed hash, size, content, and chunk_count fields from FileMetadata model
- Updated chroma and local file stores to remove excluded fields from model dump
- Removed hash calculation and content storage from default file parser
- Removed chunk count tracking from file parsing logic
- Simplified FileMetadata schema to only include essential fields
- Added new SQLite file store implementation with vector and full-text search
- Added memory search step for semantic search functionality
- Remove abstract methods from base component start/close
- Update BaseJob to remove name parameter and simplify initialization
- Change file modification time field from mtime_ms to modified_time in seconds
- Add type checking imports and improve typing annotations
- Implement LocalFileStore with JSONL persistence for file chunks
- Add MdFileParser with markdown and frontmatter support
- Simplify HttpClient call method with proper kwargs handling
- Remove unused ReMe class methods and create backup version
- Update StreamJob to use step_components instead of steps attribute
- Introduce Application class for managing application lifecycle
- Add base component classes for LLM formatters and token counters
- Implement embedding model base with caching and batching support
- Create file watcher base with watchfiles integration
- Add job and step base components for workflow execution
- Update base component with async locks and improved lifecycle management
- Register new component types in component registry
- Add application context and runtime context for dependency injection
- Integrate AnthropicChatModel with new AnthropicAsLLM component
- Add component formatters for OpenAI and Anthropic chat models
- Implement token counter component with estimated token counting
- Create base client component for ReMe service communication
- Refactor BaseComponent to remove app_context parameter from _start/_close
- Update embedding model base class to remove retry logic and use npz cache
- Add job component for sequential step execution with BaseJob
- Implement step component base class for LLM workflow execution
- Enhance application context with proper type annotations
- Update component initialization to pass app_context automatically
- Remove asyncio dependency from embedding model cache operations
- Add file_parser component with default implementation
- Introduce SearchFilter schema for path and tag filtering
- Implement filter functionality in BaseFileStore and LocalFileStore
- Update file watcher to use parser-based filtering instead of suffix filters
- Register new FILE_PARSER component enum
- Add test_data directory to gitignore
refactor: improve component imports and initialization
- Fix relative imports in application.py
- Add file_parser import to component init
- Initialize registry dict when component type doesn't exist
- Remove circular import in HttpService by using string annotation
- Update config yaml to use proper component names
refactor: enhance file watcher architecture
- Replace MdFileWatcher with more flexible FullFileWatcher and LightFileWatcher
- Remove suffix-based filtering in favor of parser-based approach
- Update BaseFileWatcher to resolve parsers from app context
- Remove unused watch_filter method
refactor: update ReMe core functionality
- Remove memory_path creation
- Simplify dream and proactive methods to return empty strings
- Update config defaults for HTTP service and component backends
docs: update component configuration in paw.yaml
- Change service backend from cmd to http
- Rename components to use correct singular forms
- Add default file parser and file watcher configurations
- Set up local file store with default settings
```
Co-authored-by: huangsen <huangsen.huang@alibaba-inc.com>
