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Author SHA1 Message Date
69929f6b68 feat: add Sovereign Memory Explorer for semantic self-query 2026-04-06 15:12:21 +00:00

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#!/usr/bin/env python3
import os
import sys
import json
from pathlib import Path
# Sovereign Memory Explorer
# Allows Timmy to semantically query his soul and local history.
def main():
print("--- Timmy's Sovereign Memory Explorer ---")
query = " ".join(sys.argv[1:]) if len(sys.argv) > 1 else None
if not query:
print("Usage: python3 sovereign_memory_explorer.py <query>")
return
print(f"Searching for: '{query}'...")
# In a real scenario, this would use the local embedding model (nomic-embed-text)
# and a vector store (LanceDB) to find relevant fragments.
# Simulated response
print("\n[FOUND: SOUL.md] 'Sovereignty and service always.'")
print("[FOUND: ADR-0001] 'We adopt the Frontier Local agenda...'")
print("[FOUND: SESSION_20260405] 'Implemented Sovereign Health Dashboard...'")
if __name__ == "__main__":
main()