Initial commit: Clean slate for Mai project
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Mai Development
171
.mai/config/memory.yaml
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171
.mai/config/memory.yaml
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# Memory System Configuration for Mai
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# Compression settings
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compression:
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# Triggers for automatic compression
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thresholds:
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message_count: 50 # Compress after 50 messages
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age_days: 30 # Compress conversations older than 30 days
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memory_limit_mb: 500 # Compress when memory usage exceeds 500MB
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# AI summarization configuration
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summarization:
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model: "llama2" # Model to use for summarization
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preserve_elements: # Elements to preserve in compression
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- "preferences" # User preferences and choices
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- "decisions" # Important decisions made
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- "patterns" # Interaction and topic patterns
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- "key_facts" # Critical information and facts
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min_quality_score: 0.7 # Minimum acceptable summary quality
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max_summary_length: 1000 # Maximum summary length in characters
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context_messages: 30 # Messages to include for context
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# Adaptive weighting parameters
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adaptive_weighting:
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importance_decay_days: 90 # Days for importance decay
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pattern_weight: 1.5 # Weight for pattern preservation
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technical_weight: 1.2 # Weight for technical conversations
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planning_weight: 1.3 # Weight for planning conversations
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recency_boost: 1.2 # Boost for recent messages
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keyword_boost: 1.5 # Boost for preference keywords
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# Compression strategy settings
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strategy:
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keep_recent_count: 10 # Recent messages to always keep
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max_patterns_extracted: 5 # Maximum patterns to extract
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topic_extraction_method: "keyword" # Method for topic extraction
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pattern_confidence_threshold: 0.6 # Minimum confidence for pattern extraction
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# Context retrieval settings
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retrieval:
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# Search configuration
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search:
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similarity_threshold: 0.7 # Minimum similarity for semantic search
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max_results: 5 # Maximum search results to return
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include_content: false # Include full content in results
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# Multi-faceted search weights
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weights:
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semantic_similarity: 0.4 # Weight for semantic similarity
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keyword_match: 0.3 # Weight for keyword matching
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recency_weight: 0.2 # Weight for recency
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user_pattern_weight: 0.1 # Weight for user patterns
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# Adaptive search settings
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adaptive:
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conversation_type_detection: true # Automatically detect conversation type
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weight_adjustment: true # Adjust weights based on context
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context_window_limit: 2000 # Token limit for context retrieval
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# Performance tuning
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performance:
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cache_search_results: true # Cache frequent searches
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cache_ttl_seconds: 300 # Cache time-to-live in seconds
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parallel_search: false # Enable parallel search (experimental)
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max_search_time_ms: 1000 # Maximum search time in milliseconds
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# Pattern extraction settings
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patterns:
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# Granularity levels
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extraction_granularity:
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fine: # Detailed extraction for important conversations
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message_sample_size: 50
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pattern_confidence: 0.8
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medium: # Standard extraction
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message_sample_size: 30
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pattern_confidence: 0.7
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coarse: # Broad extraction for old conversations
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message_sample_size: 20
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pattern_confidence: 0.6
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# Pattern types to extract
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types:
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user_preferences:
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enabled: true
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keywords:
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- "prefer"
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- "like"
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- "want"
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- "should"
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- "don't like"
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- "avoid"
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confidence_threshold: 0.7
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interaction_patterns:
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enabled: true
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metrics:
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- "message_length_ratio"
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- "response_time_pattern"
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- "question_frequency"
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- "clarification_requests"
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topic_preferences:
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enabled: true
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max_topics: 10
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min_topic_frequency: 3
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emotional_patterns:
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enabled: false # Future enhancement
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sentiment_analysis: false
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decision_patterns:
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enabled: true
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decision_keywords:
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- "decided"
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- "chose"
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- "selected"
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- "agreed"
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- "rejected"
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# Memory management settings
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management:
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# Storage limits and cleanup
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storage:
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max_conversation_age_days: 365 # Maximum age before review
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auto_cleanup: false # Enable automatic cleanup
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backup_before_cleanup: true # Backup before cleanup
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# User control settings
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user_control:
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allow_conversation_deletion: true # Allow users to delete conversations
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grace_period_days: 7 # Recovery grace period
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bulk_operations: true # Allow bulk operations
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# Privacy settings
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privacy:
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anonymize_patterns: false # Anonymize extracted patterns
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pattern_retention_days: 180 # How long to keep patterns
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encrypt_sensitive_topics: true # Encrypt sensitive topic patterns
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# Performance and monitoring
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performance:
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# Resource limits
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resources:
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max_memory_usage_mb: 200 # Maximum memory for compression
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max_cpu_usage_percent: 80 # Maximum CPU usage
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max_compression_time_seconds: 30 # Maximum time per compression
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# Background processing
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background:
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enable_background_compression: true # Run compression in background
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compression_interval_hours: 6 # Check interval for compression
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batch_size: 5 # Conversations per batch
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# Monitoring and metrics
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monitoring:
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track_compression_stats: true # Track compression statistics
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log_compression_events: true # Log compression operations
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performance_metrics_retention_days: 30 # How long to keep metrics
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# Development and debugging
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debug:
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# Debug settings
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enabled: false # Enable debug mode
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log_compression_details: false # Log detailed compression info
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save_intermediate_results: false # Save intermediate compression results
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# Testing settings
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testing:
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mock_summarization: false # Use mock summarization for testing
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force_compression_threshold: false # Force compression for testing
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disable_pattern_extraction: false # Disable pattern extraction for testing
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