In Memoria

# In-Memoria - Next Phase: True Session Amnesia Solution **Vision**: Transform In-Memoria from basic pattern detection into a true memory system that lets any AI agent "just go!" without re-explaining context every session. ## 🎯 Mission Critical: Solve Session Amnesia (Phase 1) ### Core Problem Current In-Memoria learns syntax patterns but lacks the contextual memory needed for true session continuity. AI agents still need to ask basic questions about project goals, architectural preferences, and previous decisions. ### 🚀 Priority 1: Conversation Memory System - [ ] **Store AI agent interactions** - Capture conversation history, decisions made, and context evolution - [ ] **Decision tracking** - Record architectural choices with rationale and outcomes - [ ] **Suggestion feedback loop** - Track what agent suggestions were accepted/rejected and why - [ ] **Session state persistence** - Remember what agents were working on when session ended ### 🧠 Priority 2: True Intelligence Engine - [ ] **Project goal tracking** - Understand current objectives, constraints, and priorities - [ ] **Context evolution** - Track how understanding and requirements change over time - [ ] **Semantic preference learning** - Go beyond syntax to understand *why* certain approaches are chosen - [ ] **Auto-resume functionality** - Enable AI agents to pick up exactly where they left off ### 🔧 Priority 3: Tool Consolidation (Current: 17 → Target: <17) - [ ] **Audit current MCP tools** - Identify redundancy and consolidation opportunities - [ ] **Merge learning tools** - Combine related intelligence functions into unified interfaces - [ ] **Streamline API surface** - Reduce cognitive load while maintaining functionality - [ ] **Focus on core value** - Eliminate tools that don't directly support session continuity ## 📈 Success Metrics - AI agents can resume previous session context without re-explanation - Agents proactively suggest next steps based on project history - Conversation memory enables "just go!" functionality for any AI agent - Tool count reduced while maintaining core functionality ## 🏗️ Implementation Architecture ### Database Schema Extensions - **conversations** - Store AI agent interactions with context and decisions - **session_states** - Track active work, blockers, and next steps - **decision_history** - Record architectural choices with outcomes - **preference_learning** - Capture semantic understanding beyond syntax ### API Consolidation Strategy - Merge related intelligence tools into unified interfaces - Focus on conversation memory as primary feature - Eliminate redundant pattern detection tools - Streamline learning pipeline into single comprehensive tool --- ## 🗂️ Historical Achievements (Archived) <details> <summary>Click to view completed v0.4.x work</summary> ### ✅ Session 2025-08-25 - Major Technical Debt Resolution - ALL COMPLETED **🔧 Critical Bug Fixes:** - ✅ Timezone handling bug - Fixed 5.5-hour IST/UTC offset in timestamp handling - ✅ MCP integration test failures - Added proper server initialization for tests - ✅ Automation tool staleness detection - Fixed timing-sensitive test failures - ✅ Database schema migration - Added Migration 4 for UTC timestamp normalization **📊 Quality Metrics Achieved:** - ✅ 118/120 unit tests passing (98.3% pass rate) - ✅ 23/23 MCP integration tests passing (100% pass rate) - ✅ 5/5 server lifecycle tests passing (100% pass rate) - ✅ All clippy warnings resolved - Clean Rust builds - ✅ Zero memory leaks - Verified resource cleanup ### ✅ All MCP Tools Implemented (17/17) **Core Analysis Tools:** get_file_content, analyze_codebase, get_project_structure, search_codebase, generate_documentation, learn_codebase_intelligence **Intelligence Tools:** get_semantic_insights, get_pattern_recommendations, predict_coding_approach, get_developer_profile, contribute_insights ### ✅ Platform Compatibility - ✅ **Linux/Windows/macOS**: All platforms verified working with cross-platform npm packages - ✅ **Package Distribution**: 90% size reduction for end users via platform-specific packages </details> --- **Last Updated**: September 01, 2025 - Session Amnesia Solution Phase **Focus**: Transform from pattern detector to true conversation memory system **Goal**: Enable any AI agent to "just go!" without context re-explanation