How It Works with {{TARGET_NAME}}

    
# Install Smriti
pip install smriti

# Initialize with {{TARGET_SLUG}}
from smriti import SmritiMemory

memory = SmritiMemory(
    backend="pgvector",
    mode="dual",          # semantic + episodic
    svo_extraction=True   # auto S-V-O tagging
)

# Store any interaction
memory.store("User bought flowers on Tuesday")

# Retrieve with causal context
result = memory.recall("why did we argue on Friday?")
# Returns: Tuesday → flowers → context → Friday
    
  

Smriti vs {{COMPARISON_NAME}}

Feature	{{COMPARISON_NAME}}	Smriti
Long-term memory	Partial	Full timeline
Causal context (A caused B)	No	S-V-O graph
Cross-session retention	Session only	Persistent
Encrypted memory blocks	No	Block-level
Query speed	O(n) scan	O(1) via index

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How It Works with {{TARGET_NAME}}

Smriti vs {{COMPARISON_NAME}}

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