In Memoria

# Changelog All notable changes to In Memoria will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). ## [Unreleased] ### 🐛 **Fixed** - **Feature map file routing** - Fixed file routing functionality in `predict_coding_approach` MCP tool - Fixed NAPI field name conversion: Rust `feature_name` now correctly maps to JavaScript `featureName` (camelCase) - Fixed path matching: Database queries now handle both absolute paths and relative "." paths correctly - Fixed ES module import: Replaced `require('path')` with proper ES6 import in `sqlite-db.ts` - Added Migration v7: Added UNIQUE constraint to `project_metadata.project_path` for foreign key support - Worked around Claude Code MCP client bug where optional boolean parameters aren't passed by defaulting `includeFileRouting` to `true` - **Project blueprint tool** - Fixed `get_project_blueprint` returning empty data - Fixed NAPI field name conversion in `detectEntryPoints` and `mapKeyDirectories` (semantic-engine.ts) - Fixed path normalization in database queries to handle both absolute and relative paths (sqlite-db.ts) - **Pattern recommendations** - Fixed `get_pattern_recommendations` returning empty results - Replaced Rust in-memory HashMap approach with database-backed implementation (pattern-engine.ts) - Added keyword extraction and intelligent scoring algorithm (matches pattern type/content, confidence, frequency) - Now returns top 10 relevant patterns based on problem description - **Feature mapping coverage** - Enhanced feature maps to include Rust code and language-specific patterns - Added 4 new feature categories: language-support, rust-core, mcp-server, cli (blueprint.rs) - Added nested directory search for mono-repo structures (checks rust-core/src/* paths) - Feature maps now cover both TypeScript and Rust code ### ✨ **Added** - **Test infrastructure** - Formalized and consolidated testing (Issue #1) - Added Vitest configuration with coverage reporting - Created test utilities and helpers (`test-utils.ts`, `mock-data.ts`, `test-reporter.ts`) - Enhanced test runner with filtering support (integration/manual) - Added GitHub Actions workflow for manual test triggers - Created comprehensive testing documentation (`TESTING.md`) - Clear separation: `src/__tests__/` (unit tests) vs `tests/` (integration/manual) - **Simplified progress tracking** - Replaced fancy progress bars with milestone-based logging (0%, 25%, 50%, 75%, 100%) - Eliminates log pollution when output is piped or observed by AI agents - Progress bars were causing 1000+ line output when piped due to ANSI escape codes - New approach logs only at key milestones for cleaner, more reliable progress tracking - **Project metadata management** - Added `insertProjectMetadata()` and `getProjectMetadata()` methods to `sqlite-db.ts` - Ensures project metadata exists before creating feature maps (required for foreign key constraints) - Phase 6.5 in learning pipeline now creates project metadata automatically ### 📝 **Documentation** - Updated `predict_coding_approach` tool description to clarify `includeFileRouting` defaults to `true` - Added `TESTING.md` with clear explanation of test structure and usage - Simplified `tests/README.md` to focus on essentials ## [0.5.5] - 2025-10-27 ### 🐛 **Fixed** - **MCP STDIO transport** - Fixed JSON parse errors in MCP Inspector - Logs now go to stderr instead of stdout (per MCP spec) - Stdout is reserved for JSON-RPC messages only - All logging is still visible and AI agents can see progress updates ### ✨ **Added** - **Database auto-initialization** - Parent directories are created automatically - **Path validation** - Helpful warnings when database paths look suspicious - **Server path argument** - `in-memoria server /path/to/project` now sets working directory - **PathValidator utility** - Reusable path validation with project detection - **health_check tool** - New diagnostic tool for troubleshooting MCP setup issues - **Better Copilot instructions** - Clear guidance on path parameter usage and tool examples ### 📝 **Documentation** - **Issue #9 analysis** - Comprehensive root cause analysis in `docs/ISSUE_9_ANALYSIS.md` - Detailed breakdown of all 4 reported issues - Root cause analysis for each problem - 7 recommended fixes with code examples - Testing plan and migration guide for users - Code location appendix for quick reference ## [0.5.4] - 2025-10-25 ### 🐛 **Fixed** - **MCP server binary permissions** - Fixed "Permission denied" error when connecting to In Memoria MCP server via npx - Added `fix-permissions` script to set execute permissions on `dist/index.js` after TypeScript compilation - Created `build:ts` script for CI/CD TypeScript-only builds that includes permission fix - Updated release workflow to use new `build:ts` script ensuring published packages have correct permissions - Cross-platform compatible: uses try-catch for chmod on Windows where it's not critical ## [0.5.3] - 2025-10-24 ### 🐛 **Fixed** - **Progress tracking display** - Fixed janky and unreliable progress reports during learning (closes #11) - Eliminated console flooding with duplicate progress bar renders - Fixed line clearing issues that were erasing previous console output - Removed duplicate "Learning Complete!" messages appearing multiple times - Progress bars now update in-place smoothly without flickering - Empty progress bars no longer appear before phases actually start - All phases displayed consistently from start to finish - Fixed update frequency to 500ms for smooth, non-intrusive updates - Applied consistent progress display across all commands: `learn`, `setup --interactive`, and MCP `auto_learn_if_needed` tool ## [0.5.1] - 2025-10-24 ### 🐛 **Fixed** - **End user installation** - Removed unnecessary native dependencies that caused C++20 compilation errors - Removed tree-sitter packages from dependencies (tree-sitter is implemented in Rust, not TypeScript) - Removed unused `ws` package - End users can now install from npm without requiring C++20 compiler flags ## [0.5.0] - 2025-10-24 ### ✨ **Added** #### 🗺️ **Project Blueprint System (Phase 1)** - **Token-efficient project intelligence** - New blueprint system eliminates cold start exploration by providing instant project context - **Entry point detection** - Automatically identifies web, API, CLI, and worker entry points based on framework patterns (React, Express, FastAPI, Svelte) - **Key directory mapping** - Discovers and categorizes important directories (components, utils, services, auth, models, etc.) - **Architecture inference** - Determines project architecture pattern (Component-Based, REST API, Service-Oriented, MVC, Modular) - **Feature-to-file mapping** - Foundation for mapping features to their implementation files - **New database tables** - Added `feature_map`, `entry_points`, and `key_directories` tables with full migration support (Migration v5) - **Enhanced `learn_codebase_intelligence` tool** - Now returns blueprint data in response including tech stack, entry points, key directories, and architecture - **New `get_project_blueprint` tool** - Fast blueprint access without full learning, provides instant project context (<200 tokens target) - **Blueprint detection in SemanticEngine** - `detectEntryPoints()` and `mapKeyDirectories()` methods automatically enrich codebase analysis - **Comprehensive database methods** - Full CRUD operations for blueprint tables with proper TypeScript interfaces #### 🎯 **Token Efficiency Goals** - **Cold start optimization** - Target <200 tokens for initial project understanding (vs current ~3000+ tokens) - **Direct file access** - Agents can jump straight to relevant files without exploration - **Session resume** - Target <100 tokens to restore work context - **Smart routing** - Target <50 tokens to route vague requests to specific files #### 💼 **Work Context System (Phase 2)** - **Session tracking infrastructure** - New work session management for AI agent memory and context continuity - **Work session persistence** - Track current files, pending tasks, completed tasks, and blockers across AI sessions - **Project decision history** - Record architectural decisions with reasoning for future reference - **Session resume capability** - Enable agents to pick up exactly where they left off (target <100 tokens) - **New database tables** - Added `work_sessions` and `project_decisions` tables with full migration support (Migration v6) - **Enhanced `get_developer_profile` tool** - Added optional `includeWorkContext` parameter to include current work session data - Returns current files being worked on - Lists pending tasks and recently completed tasks - Provides recent project decisions with reasoning - **Enhanced `contribute_insights` tool** - Added optional `sessionUpdate` parameter to update work context - Update current files and feature being worked on - Modify task lists (pending/completed) - Record project decisions with key-value pairs and reasoning - **Comprehensive session management** - Full CRUD operations for work sessions and decisions - `createWorkSession()` - Initialize new work sessions - `updateWorkSession()` - Update session state (files, tasks, feature) - `getCurrentWorkSession()` - Retrieve active session for project - `upsertProjectDecision()` - Store or update architectural decisions - `getProjectDecisions()` - Fetch recent decisions with reasoning #### 🧭 **Smart Navigation & Routing (Phase 3)** - **Feature-to-file mapping engine** - Automatically maps project features to their implementation files - **10 feature categories** - Authentication, API, database, UI components, views, services, utilities, testing, configuration, middleware - **Directory pattern detection** - Intelligent mapping based on common project structures - **File collection and categorization** - Splits files into primary and related categories for targeted navigation - **Request routing intelligence** - Routes vague task descriptions to specific files - **Work type detection** - Automatically classifies tasks as feature, bugfix, refactor, or test - **Keyword-based routing** - Matches problem descriptions to relevant features using 20+ common keywords - **Smart file suggestions** - Returns top 5 most relevant files with suggested starting point - **Enhanced `predict_coding_approach` tool** - Added optional `includeFileRouting` parameter - Returns intended feature, target files, work type, and suggested starting point - Enables agents to jump directly to relevant code without exploration - **Enhanced `get_pattern_recommendations` tool** - Added optional `includeRelatedFiles` parameter - Suggests related files where similar patterns are used - Helps agents discover consistent implementation patterns across the codebase - **Feature map database methods** - New methods for searching and accessing feature mappings - `searchFeatureMaps()` - Search features by keyword with case-insensitive matching - `getFeatureByName()` - Retrieve specific feature mapping by exact name - **Pattern-based file discovery** - `findFilesUsingPatterns()` method matches patterns to feature categories - Links testing patterns to test files, API patterns to API files, etc. - Returns up to 10 most relevant files for given pattern recommendations ### 🛠️ **Changed** - **Database schema** - Added blueprint-related tables (Phase 1) and work context tables (Phase 2) with proper foreign key constraints - **Migration system** - Enhanced validation for blueprint tables (Migration v5) and session tracking (Migration v6) - **CodebaseAnalysisResult interface** - Extended with optional `entryPoints` and `keyDirectories` fields - **DeveloperProfile interface** - Extended with optional `currentWork` field containing session context - **Tool architecture** - Phase 1 (blueprint), Phase 2 (work context), and Phase 3 (smart navigation) complete; ready for Phase 4 (tool consolidation) ### 🐛 **Fixed** - **Phase 1-4 integration** - Fixed missing route handlers and Rust exports causing test failures - Added `get_project_blueprint` route handler (Phase 1 feature was defined but not routed) - Fixed BlueprintAnalyzer Rust exports and removed incorrect constructor calls - Added missing validation schema parameters (`skipLearning`, `includeSetupSteps`) - Fixed migration rollback to version 0 (now properly deletes migration records) - Fixed Rust HashMap type compatibility in pattern prediction context handling - **Progress rendering** - Improved learning process console output clarity and accuracy - Only display phases after they've started (eliminates visual clutter) - Removed duplicate progress updates during phase transitions - Phases now appear progressively instead of all at once ## [0.4.6] - 2025-09-11 ### 🐛 **Fixed** - **CLI help accuracy** - Fixed misrepresented flags and outdated environment variables in help text (closes #2) - **Learning process crash** - Fixed "Cannot read properties of undefined (reading 'toFixed')" error during complexity analysis - **Framework detection false positives** - Improved accuracy by using file extension counting instead of unreliable source code text matching, fixes dependency pattern specificity (closes #8) ## [0.4.5] - 2025-09-10 ### ✨ **Added** #### 🔍 **Enhanced TypeScript/JavaScript Language Support** - **Comprehensive TypeScript/JavaScript extractor** - Major enhancement from basic extraction to rich semantic analysis - **Enhanced class extraction** with decorators, inheritance, accessibility modifiers - **Advanced interface analysis** with extends clause extraction - **Type alias extraction** with full type definition capture - **Enum extraction** with const enum detection - **Rich function analysis** with async/static modifiers, parameter extraction - **Variable extraction** with type annotation capture - **Module and import/export analysis** - Full module system support - **Import statement extraction** with source path analysis - **Export statement extraction** with declaration type detection - **Module/namespace declarations** with type distinction - **Comprehensive metadata collection** - **Decorator extraction** for classes and methods - **Accessibility modifier detection** (public/private/protected) - **Function parameter analysis** with type information - **Inheritance relationships** for classes and interfaces - **Type definitions** for aliases and complex types #### 🐍 **Enhanced Python Language Support** - **Comprehensive Python extractor** - Complete rewrite from basic extraction to full grammar support - **Advanced class analysis** with inheritance, decorators, abstract methods, constructor detection - **Rich function extraction** with async/generator detection, type hints, parameter analysis - **Modern Python features** - type aliases, pattern matching (match statements), context managers - **Variable analysis** with type annotations and value type inference - **Comprehensive import system** - import/from-import statements with detailed module analysis - **Advanced class metadata collection** - **Method counting and classification** - regular methods, class methods, static methods, properties - **Abstract method detection** - identifies `@abstractmethod` decorators - **Constructor analysis** - `__init__` method detection and parameter extraction - **Decorator analysis** - comprehensive decorator extraction and classification - **Inheritance analysis** - superclass detection and generic type parameter extraction - **Smart type inference** - **Type annotation extraction** from function parameters and variable declarations - **Value type inference** from literals, collections, and function calls - **Generator detection** through yield statement analysis #### 🔧 **Pattern Learning Performance & Stability** - **Fixed CPU consumption issue** in pattern learning that caused "Learning coding patterns..." to hang - **Added timeout protection** (60 second limit) to prevent infinite processing on large codebases - **Reduced file processing limit** from 1000 to 100 files for initial learning to improve performance - **Added depth limits** (`max_depth(5)` for concept extraction, `max_depth(3)` for directory analysis) - **Restored proper file filtering** from backup implementation using `should_analyze_file()` - **Added pattern quality thresholds** (minimum frequency: 3 for naming patterns, 2 for others) - **Restored directory structure analysis** that properly uses `is_ignored_directory()` method - **Enhanced directory filtering** to skip `node_modules`, `.git`, `target`, `dist`, `build`, `.next`, `__pycache__`, `coverage`, `.vscode`, `.idea` #### 🏗️ **Major Architecture Refactor - Modular Code Structure** Complete transformation from monolithic codebase to a clean, modular architecture focusing on maintainability, code quality, and developer experience. - **Complete modular restructuring** - Transformed monolithic 4,869-line codebase into organized 33-file modular architecture - `analysis/` - Semantic analysis, complexity metrics, relationship learning, framework detection - `extractors/` - Language-specific concept extraction (SQL, general fallback) - `parsing/` - AST parsing, tree walking, parser management - `patterns/` - Pattern learning, naming analysis, structural analysis, implementation detection, approach prediction - `types/` - Core type definitions and shared interfaces - **Backwards compatibility maintained** - All existing public APIs preserved via re-exports - **Enhanced functionality** - Each module now includes comprehensive implementations previously marked as TODOs - **Historical approach learning** - Uses `problem_description`, `complexity`, and `success_rating` for intelligent template scoring - **Context-aware recommendations** - Domain-specific architectural advice (enterprise, prototype, real-time systems) - **Timeline-sensitive selection** - Different approaches for urgent vs long-term projects - **Maintainability-driven scoring** - Adjusts recommendations based on maintenance requirements ### 🛠️ **Changed** #### 🏗️ **Code Quality & Performance** - **Zero clippy warnings** - All linting issues resolved through proper implementation - **Enhanced helper methods** - Robust AST node traversal and text extraction - **Optimized iterator patterns** - Uses efficient `next_back()` instead of `last()` for better performance - **Proper error handling** - No suppression warnings, all issues addressed functionally - **Bounded file processing** - Proper timeout and limits to prevent resource exhaustion - **Smarter pattern consolidation** - Quality filtering to reduce noise and improve accuracy - **Efficient directory traversal** - Depth limiting to avoid deep recursion - **Migrated from monolithic files**: - `ast_parser.rs` (698 lines) → `parsing/` module with clean separation - `pattern_learning.rs` (2,121 lines) → `patterns/` module with specialized analyzers - `semantic.rs` (2,001 lines) → `analysis/` module with focused responsibilities - **Enhanced functionality over suppression** - All dead code warnings resolved through complete feature implementation - **Idiomatic Rust patterns** - Uses `clamp()` instead of manual min/max chains - **Proper borrowing patterns** - Resolved HashMap iteration conflicts with clean ownership ### ✅ **Fixed** #### 🐛 **TypeScript Extractor Issues** - **Missing method implementations** - All extract methods now properly integrated - **Borrowing conflicts** - Resolved lifetime issues with proper collection patterns - **Dead code warnings** - Eliminated through complete feature implementation - **Manual iterator patterns** - Fixed clippy suggestions with safe borrowing patterns #### 🚨 **Compilation & Linting** - **Complete clippy compliance** - Eliminated all warnings through functional completion rather than suppression - **Missing struct fields** - Added and implemented `ApproachTemplate.confidence` and `ApproachTemplate.patterns` - **Duplicate method definitions** - Resolved conflicts in `StructuralPatternAnalyzer` - **Import organization** - Cleaned up unused imports while maintaining necessary dependencies - **Numeric type ambiguity** - Fixed floating-point type inference with explicit annotations #### 🏗️ **Architecture Issues** - **Backwards compatibility** - `AstParser` alias maintains API compatibility during transition - **Missing method implementations** - All placeholder methods now fully functional - **Dead code elimination** - Every struct field now actively used in business logic - **Borrowing conflicts** - Clean separation of mutable and immutable references --- ## [0.4.4] - 2025-09-03 ### ✅ Fixed #### 🗄️ Database Location & MCP Progress Output - **Database path fixed in CLI commands** - Learning, analysis, and watch commands now correctly place database files in the analyzed project directory instead of current working directory - **MCP server progress output improved** - Fixed "Failed to parse message" warnings when using progress bars - ASCII progress bars `[====----] 42.0%` in MCP mode instead of Unicode blocks - Removed ANSI escape codes from MCP server output to prevent JSON parsing conflicts - Progress information now cleanly visible in MCP logs without parsing errors #### 🔧 Database Infrastructure Improvements - **Improved MCP server database handling** - Enhanced database management for learning operations - MCP server now creates project-specific database instances for learning operations - Better resource cleanup for database connections - Improved database path resolution consistency #### 📢 Embedding Output Cleanup - **Fixed embedding progress spam** - CLI learning no longer outputs hundreds of individual embedding messages - Changed from per-concept logging to single initialization message - Prevents terminal spam when processing large codebases with many concepts - Added debug logging for SQL file processing to help diagnose parsing issues #### 🐛 SQL Concept Extraction Enhanced - **Fixed SQL files reporting 0 concepts learned** - Resolved issue where SQL Server Database Projects weren't being analyzed - Fixed SQL node type matching in tree-sitter parser (was expecting `"create_table_statement"` but parser generates `"create_table"`) - SQL files now properly extract table, view, and procedure concepts - Verified working with SQL Server bracket notation syntax `[dbo].[TableName]` - **Enhanced SQL concept extraction** - Improved extraction accuracy and coverage - Added specialized table name extraction from `object_reference` nodes - Added column concept extraction from `column_definition` nodes - Enhanced identifier extraction to handle complex SQL Server syntax - Improved from 2 to 11 concepts extracted from the test SQL file ## [0.4.3] - 2025-08-30 ### 🔧 Code Quality & Reliability Improvements Major code audit and technical debt resolution focused on TypeScript strict compliance, error handling, system reliability, and comprehensive language support implementation. ### ✅ Fixed #### 🏗️ TypeScript Strict Mode Compliance - **62 TypeScript strict mode errors resolved** - Complete migration to strict TypeScript compilation - Fixed implicit `any` types across all files - Added proper error type handling with `catch (error: unknown)` pattern - Fixed class property initialization with definite assignment assertions - Enhanced type safety in MCP server, engines, and CLI tools - **tsconfig.json strict mode enabled** - `"strict": true` for enhanced type safety #### 🛡️ Error Handling & Circuit Breaker Improvements - **Enhanced circuit breaker error transparency** - Original errors now preserved instead of being masked - **Transparent graceful degradation** - System provides clear warnings when analysis degrades instead of silent failures - Semantic analysis uses sentinel values (-1) to indicate "could not measure" vs 0 for "no complexity" - Analysis status metadata: `analysisStatus: 'degraded'` with explicit `errors: string[]` - Pattern analysis provides clear degradation warnings to users - **Honest error reporting** - Eliminated fake success results, replaced with transparent failure indicators #### 🏛️ Configuration Management - **Centralized configuration system** - New `src/config/config.ts` with proper database path management - **Project-specific database placement** - Database correctly stored within analyzed project directory - **Environment-aware configuration** - Proper defaults with override capabilities #### 🌍 Language Support Implementation - **7 new languages properly implemented** - SQL, Go, Java, C, C++, C#, and Svelte now have language-specific semantic extractors instead of generic fallbacks - Added proper AST node parsing for each language's syntax patterns - Implemented language-specific concept extraction (classes, functions, variables, etc.) - Enhanced code analysis accuracy for multi-language projects - **Rust code safety improvements** - Fixed problematic `.unwrap()` patterns that could cause panics - Replaced unsafe string operations with safe `is_some_and()` patterns - Enhanced HashMap access safety with proper pattern matching - Maintained performance while eliminating crash-prone code paths #### 🔧 Input Validation & Reliability - **Comprehensive MCP tool validation** - Added missing input validation across all 17 MCP tools - **Zod schema validation** - Enhanced parameter validation with better error messages - **Path sanitization** - Improved security for file system operations ### 🚀 Performance & Dependencies #### ⚡ Optimization - **Removed over-engineered batch processor** - Eliminated unnecessary `BatchProcessor` class that duplicated Rust functionality - **Cache cleanup and management** - Enhanced memory management with proper cache TTL handling - **Memoization improvements** - Better performance caching for language detection #### 📦 Dependency Management - **Rust build configuration optimized** - Fixed feature flag conflicts in `Cargo.toml` - Corrected `"rust"` → `"rust-lang"` feature naming consistency - Proper language feature organization for selective compilation - **Consolidated redundant imports** - Cleaned up duplicate and unused dependencies ### 🧪 Testing & Quality Assurance - **Enhanced test coverage** - Updated all test files for strict TypeScript compliance - **Circuit breaker validation tests** - New test files for error transparency validation - **Local embedding tests** - Comprehensive vector database testing - **Build verification** - Complete TypeScript compilation and Rust build validation ### 🔄 Changed #### 📡 Enhanced Error Context - **Fallback analysis transparency** - Users now understand exactly why analysis is degraded - **Circuit breaker state reporting** - Detailed failure information with recovery guidance - **Quality indicators in results** - Analysis results include quality metadata #### 🎯 Development Experience - **Strict TypeScript enforcement** - Catch type errors at compile time instead of runtime - **Better IDE support** - Enhanced IntelliSense and error detection - **Cleaner codebase** - Removed unnecessary abstractions and over-engineering ### 🛠️ Technical Infrastructure - **Database migration integrity** - Enhanced migration validation with proper error handling - **Configuration validation** - Runtime configuration checking with helpful error messages - **Resource cleanup** - Proper cleanup intervals and memory management ### 📊 Quality Metrics #### ✅ Code Quality Improvements - **TypeScript Errors**: 62 → 0 (100% resolution) - **Strict Mode**: Fully enabled across entire codebase - **Error Handling**: Consistent `unknown` error type handling - **Build Success**: Both TypeScript and Rust builds now pass completely #### 🔧 Reliability Enhancements - **Transparent Degradation**: Users understand system limitations - **Error Preservation**: Original error context maintained through circuit breakers - **Input Validation**: All MCP tools properly validate parameters - **Configuration Management**: Centralized and project-aware database placement ## [0.4.2] - 2025-08-29 ### 🚀 Performance & Language Support Improvements ### ✨ Added #### 🎯 Comprehensive Language Support - **Native AST parsing for 11 programming languages** - TypeScript, JavaScript, Python, Rust, Go, Java, C/C++, C#, Svelte, and SQL - **Tree-sitter parser integration** for all supported file types - **Enhanced semantic analysis** with proper AST-based parsing instead of text fallbacks #### 🧠 Complete Pattern Learning Engine - **All pattern learning methods fully implemented** - Complete Rust `PatternLearner` with 6 core methods - `extract_patterns` - Extract coding patterns from file paths and directories - `analyze_file_change` - Analyze file changes to identify pattern violations and recommendations - `find_relevant_patterns` - Find patterns relevant to problem descriptions with confidence scoring - `predict_coding_approach` - Predict coding approaches based on learned patterns and context - `learn_from_analysis` - Learn new patterns from semantic analysis data (JSON) - `update_from_change` - Update pattern frequencies from file change analysis - **Complete NAPI JavaScript bindings** - All 6 pattern learning methods exported to JavaScript - **Advanced implementation features** - JSON parsing, pattern frequency management, semantic matching, confidence scoring ### ✅ Fixed #### 🐛 Critical Bug Fixes - **CLI command hanging** - Fixed resource cleanup issues causing commands to hang after completion - **Svelte learning timeout issue** - Fixed indefinite hangs when analyzing Svelte codebases - **Tree-sitter version conflicts** - Resolved dependency incompatibilities between language parsers - **Memory leak prevention** - Added timeout protection (30 seconds) for complex parsing operations - **Binary compatibility issues** - Fixed NAPI binding compilation errors - **All Rust clippy warnings resolved** - Zero linting errors including collapsible if statements and missing safety documentation #### 🏗️ Performance & Reliability Improvements - **Enhanced file filtering** - Excludes build artifacts (.next, dist, node_modules) automatically - **Robust error handling** - Graceful fallbacks for unsupported or malformed files - **Optimized parser initialization** - Faster startup with lazy loading of language parsers - **Size and count limits** - Prevents resource exhaustion on very large projects ### 🧪 Testing & Quality Assurance - **Complete Rust test coverage** - 27 Rust unit tests with 100% pass rate (10 pattern learning + 17 semantic analysis) - **Pattern learning test suite** - Comprehensive tests for all new methods with realistic data validation - **Language-specific test coverage** - Real code samples for all supported languages - **Cross-platform compatibility** - Verified on Linux with Node.js NAPI bindings - **Performance benchmarking** - Timeout protection validated with complex codebases - **Enhanced error handling** - Better error messages and recovery - **Performance monitoring** - Warnings for slow operations - **Code quality** - Resolved all Rust clippy warnings ### 🔧 Internal Changes - Enhanced `should_analyze_file()` with comprehensive filtering logic - Added per-file and overall timeout protection in Rust semantic analyzer - Improved error handling and graceful degradation for failed file processing - Better progress reporting and performance warnings - Complete pattern learning algorithm implementation with advanced statistical analysis ## [0.4.1] - 2025-08-25 ### 🔧 Technical Debt Resolution & Testing Infrastructure Major session focused on resolving critical technical debt and establishing comprehensive testing infrastructure. ### ✅ Fixed #### 🐛 Critical Bug Fixes - **Timezone handling bug** - Fixed 5.5-hour offset between SQLite timestamps and filesystem timestamps - Root cause: SQLite `CURRENT_TIMESTAMP` stores local time, JavaScript interprets as UTC - Solution: Updated schema to use `datetime('now', 'utc')` and added Migration 4 - Impact: Fixed staleness detection false positives in IST timezone - **MCP integration test failures** - Tests failed due to uninitialized server components - Added `initializeForTesting()` method for proper test setup - Fixed Tool Completeness tests to use `routeToolCall` instead of direct server requests #### 🏗️ Technical Infrastructure - **Performance profiling system** - Added comprehensive performance monitoring utilities - `PerformanceProfiler` class with timing methods and optimization decorators - Performance caching and memoization utilities for hot paths - **MCP-compliant error handling** - Implemented structured error types with recovery actions - `InMemoriaError` class hierarchy with MCP conversion methods - Proper error propagation from Rust engines to TypeScript layer - **Rust conditional compilation** - Fixed N-API feature flags for testing environments - Added `[features] default = ["napi-bindings"]` to Cargo.toml - Resolved clippy warnings and build inconsistencies ### 🧪 Testing Infrastructure #### ✅ Comprehensive Test Suite (98.3% Pass Rate) - **118/120 unit tests passing** - Fixed timing-sensitive automation tool tests - **23/23 MCP integration tests passing** - All MCP protocol functionality verified - **Integration test suite** - Added comprehensive real-world testing: - `tests/integration/test-mcp-client.js` - Basic MCP functionality (6/6 passed) - `tests/integration/test-advanced-mcp.js` - Advanced features (6/8 passed) - `tests/integration/test-error-handling.js` - Error validation (6/8 passed) - `tests/integration/test-server-lifecycle.js` - Server lifecycle (5/5 passed) #### 🔄 Server Lifecycle Verification - **Clean startup** - Server initializes and reports ready status correctly - **Graceful SIGTERM shutdown** - Proper signal handling with 8ms shutdown time - **Force kill recovery** - Robust recovery after SIGKILL termination - **Resource cleanup** - Memory leak detection (0MB increase after shutdown) - **Database lock cleanup** - Proper lock release allowing new server instances ### 🚀 Performance Improvements #### ⚡ Optimization Features - **Lazy initialization** - Rust analyzer components load on-demand - **Staleness detection** - File modification time-based cache invalidation - 5-minute buffer for filesystem timestamp variations - UTC-normalized comparison to prevent timezone issues - **Circuit breaker patterns** - Fault tolerance for external dependencies - **Caching optimizations** - LRU caches and memoization for frequently accessed data ### 🛠️ Changed #### 📁 Project Organization - **Test file organization** - Moved integration tests to `tests/integration/` directory - **Database schema** - Migration 4 updates all timestamp fields to UTC - **Staleness detection logic** - Refined algorithm with proper timezone handling ### 📊 Quality Metrics #### ✅ Test Coverage Summary - **Unit Tests**: 118/120 (98.3% pass rate) - **MCP Integration**: 23/23 (100% pass rate) - **Basic MCP Functionality**: 6/6 (100% pass rate) - **Advanced MCP Features**: 6/8 (75% pass rate, expected timeouts) - **Error Handling**: 6/8 (75% pass rate, proper error responses) - **Server Lifecycle**: 5/5 (100% pass rate) #### 🔧 Code Quality - **All clippy warnings resolved** - Clean Rust builds with zero warnings - **TypeScript strict mode compliance** - All type errors resolved - **Performance profiling** - Comprehensive monitoring infrastructure in place --- ## [0.3.2] - 2025-08-19 ### 🔧 Package Distribution Fixes Minor release to fix npm publishing issues with cross-platform packages. ### 🛠️ Changed - **Package naming** - Switch to scoped packages (`@in-memoria/*`) to avoid npm spam detection - **Build workflow** - Use `npm install` instead of `npm ci` for main package publishing - **Repository URLs** - Add `git+` prefix to avoid npm warnings ### 📦 Platform Packages - `@in-memoria/linux-x64` - Linux x64 native bindings - `@in-memoria/darwin-x64` - macOS Intel native bindings - `@in-memoria/darwin-arm64` - macOS Apple Silicon native bindings - `@in-memoria/win32-x64` - Windows x64 native bindings --- ## [0.3.1] - 2025-08-19 ### 🚀 Cross-Platform Release - Universal Compatibility This release makes In Memoria work seamlessly across Windows, macOS, and Linux with optimized package distribution and 80% smaller downloads. ### ✨ Added #### 🌍 Cross-Platform Support - **Windows compatibility** - Full support for x64 Windows systems - **macOS compatibility** - Support for both Intel (x64) and Apple Silicon (ARM64) Macs - **Linux compatibility** - Enhanced Linux x64 support with glibc - **Platform-specific packages** - Automatic installation of correct binaries per platform #### 📦 Optimized Package Distribution - **Platform-specific npm packages** - `in-memoria-{linux-x64,darwin-x64,darwin-arm64,win32-x64}` - **Minimal main package** - Only 130KB download (vs previous 50MB+) - **Automatic platform detection** - Runtime loading of correct native binaries - **Optional dependencies** - npm installs only the user's platform binaries #### 🔧 Build System Improvements - **Cross-platform build scripts** - Support for building on any platform - **GitHub Actions matrix builds** - Automated builds for all 4 platforms - **NAPI-RS configuration** - Modern build targets and binary naming - **Platform detection fallbacks** - Graceful error handling for unsupported platforms ### 🛠️ Changed - **File copy operations** - Replaced Unix `cp` with cross-platform Node.js operations - **Build commands** - Use `npm --prefix` instead of `cd` for Windows compatibility - **Shell scripts** - Explicit `bash` shell for cross-platform GitHub Actions - **TypeScript types** - Fixed class type exports for better IDE support ### 🐛 Fixed - **Windows build failures** - Resolved path separator and toolchain issues - **macOS compilation** - Fixed cross-compilation toolchain requirements - **Package structure** - Proper binary loading and fallback mechanisms - **GitHub Actions** - Cross-platform workflow compatibility ### 📊 Package Size Reduction - **Before**: ~50MB (all platforms bundled) - **After**: ~2MB per user (only their platform) - **Savings**: 80% smaller downloads and faster installs --- ## [0.3.0] - 2025-08-18 ### 🎯 Major Usability Release - Seamless Agent Integration This release transforms In Memoria from a developer-focused tool into a seamless AI agent platform with comprehensive automation, monitoring, and user experience improvements. ### ✨ Added #### 🤖 Agent Automation Tools - **`auto_learn_if_needed`** - Automatic learning trigger for agents with progress tracking - **`get_learning_status`** - Intelligence status checking for smart decision making - **`quick_setup`** - Complete automated setup and learning pipeline #### 📊 Monitoring & Analytics Tools - **`get_system_status`** - Comprehensive health dashboard with component status - **`get_intelligence_metrics`** - Detailed analytics on learned concepts and patterns - **`get_performance_status`** - Performance metrics with optional benchmarking #### 🎮 Interactive Setup System - **`in-memoria setup --interactive`** - Guided setup wizard with auto-detection - **Language detection** - Automatic project language identification - **Smart defaults** - Intelligent configuration recommendations - **Secure API key handling** - Masked input for sensitive data - **Configuration validation** - Real-time validation with helpful error messages #### 📈 Progress Tracking System - **Progress indicators** with ETA calculations for all long-running operations - **Multi-phase tracking** - Discovery → Semantic Analysis → Pattern Learning → Indexing - **Real-time updates** - Console progress bars with 500ms refresh rate - **Performance metrics** - Processing rate and time estimation #### 🔧 Comprehensive Debugging Tools - **`in-memoria debug --verbose`** - Full diagnostic suite - **System diagnostics** - Node.js version, platform, memory usage - **Database diagnostics** - Schema version, data integrity, query performance - **Intelligence diagnostics** - Component health, API integration status - **File system diagnostics** - Project structure, configuration validation - **Performance analysis** - Database size, query times, benchmarking - **Data validation** - Deep intelligence data consistency checks #### 🏗️ Infrastructure Improvements - **Database migration system** - Versioned schema updates with rollback support - **Circuit breakers** - Fault tolerance for external API calls and Rust analyzer - **Input validation** - Zod schema validation for all 17 MCP tools - **Comprehensive test suite** - Unit tests with proper isolation and cleanup ### 🔄 Changed #### 📡 MCP Server Enhancement - **17 total tools** (was 11) - 54% increase in functionality - **4 tool categories** - Core Analysis, Intelligence, Automation, Monitoring - **Enhanced error handling** - Structured error responses with detailed messages - **Performance optimizations** - Circuit breakers prevent cascading failures #### 🎯 User Experience Transformation - **Zero manual setup** required for agent use - **Seamless learning** - Agents can trigger learning automatically - **Real-time feedback** - Progress visibility for all operations - **Professional debugging** - Enterprise-grade diagnostic tools #### 📚 Documentation Updates - **Updated README** - Complete tool listing with categories - **Enhanced CONTRIBUTING** - Updated for Node.js 24+ compatibility - **New CHANGELOG** - Proper versioning and release tracking ### 🐛 Fixed #### 🔧 Reliability Improvements - **Node.js 24+ compatibility** - Removed outdated warnings, confirmed working - **TypeScript compilation** - All new code properly typed and validated - **Database initialization** - Robust error handling with migration support - **Memory management** - Progress tracking with proper cleanup #### 🛠️ Technical Fixes - **Test suite integration** - Proper vitest configuration with src/**tests**/ - **Import validation** - Fixed TypeScript import errors - **Schema validation** - Proper Zod schema definitions for all tools - **CLI argument parsing** - Enhanced command-line interface handling ### 💥 Breaking Changes - **Minimum Node.js version** now officially 18+ (was informally 20+) - **MCP tool count** increased from 11 to 17 - agents may need capability updates - **Database schema version** bumped to v3 with automatic migration ### 🎯 Migration Guide #### For Existing Users ```bash # Existing installations will auto-migrate database schema in-memoria debug --verbose # Check system health after upgrade ``` #### For New Users ```bash # Recommended setup path in-memoria setup --interactive # Full guided setup # Or quick start for agents in-memoria server # Auto-learning will happen as needed ``` #### For Agent Developers ```javascript // Agents should use automation tools for best experience await tools.auto_learn_if_needed({ path: "./", includeProgress: true }); const status = await tools.get_system_status({ includeMetrics: true }); ``` ### 🏆 Impact Summary #### Usability Score: 7/10 → 9.5/10 - **Seamless agent integration** - Zero manual intervention required - **Professional user experience** - Progress tracking and status monitoring - **Enterprise debugging** - Comprehensive diagnostic capabilities - **Interactive setup** - Guided configuration with smart defaults #### Agent Experience - **Plug-and-play functionality** - Works immediately without setup - **Smart automation** - Learning only happens when needed - **Complete transparency** - Full system visibility and status - **Self-healing capabilities** - Circuit breakers and error recovery --- ## [0.2.4] - 2025-08-17 ### Added - Node.js 24 compatibility and enhanced MCP server initialization - Async component loading with improved error handling - Complete rebranding from code-cartographer to in-memoria - Enhanced postinstall script for better dependency management ### Fixed - MCP server initialization issues - CLI execution problems - Dependency resolution for native modules --- ## [0.1.0] - 2025-08-16 ### Added - Initial release of In Memoria - Basic MCP server with 11 tools - Semantic analysis engine with Rust backend - Pattern learning capabilities - SQLite-based persistent storage - File watching and real-time updates - Basic CLI interface ### Features - TypeScript/Rust hybrid architecture - Tree-sitter AST analysis - Vector embeddings support - Local-first data storage - Claude Desktop/Code integration