Janady13/complete-agi-core / orchestrator/binary-storage.sh

Source identity

Field	Recorded value
Source type	GitHub source
Original record	Janady13/complete-agi-core / orchestrator/binary-storage.sh
Date	Not specified in source
Repository	Janady13/complete-agi-core
Revision	33aa84f2aa61cedbe010240ada7f4efbdfe795a7
Branch	claude/improve-math-logic-ehIW1
Path or archive member	orchestrator/binary-storage.sh
Original SHA-256	548fc40933e65676cbc1aa5bd22e7f2641033e98f511d3554b58906f551d8a7c
Git blob SHA	97e83844320c72bce75d106d92766aa8f2ab1ddb
Reading-copy SHA-256	548fc40933e65676cbc1aa5bd22e7f2641033e98f511d3554b58906f551d8a7c

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Recovered source transcript

Download complete source text ↓41 lines · 1.3 KB

#!/bin/bash
# =============================================================================
# BINARY STORAGE SYSTEM - Compressed AGI Data
# All data stored as zstd-compressed binary for minimal space
# =============================================================================

ICLOUD=~/Library/Mobile\ Documents/com~apple~CloudDocs/AGI_Data
LEARNED_ZST="$ICLOUD/agi_core/learned_items.json.zst"
GENERATED_ZST="$ICLOUD/generated.tar.zst"

# Compress learned items (called after each learn)
compress_learned() {
    local json="$ICLOUD/agi_core/learned_items.json"
    [ -f "$json" ] && zstd -f -q --rm "$json" -o "$LEARNED_ZST"
}

# Decompress for reading (temporary)
decompress_learned() {
    [ -f "$LEARNED_ZST" ] && zstd -d -f -q "$LEARNED_ZST" -o /tmp/learned_items.json
    echo /tmp/learned_items.json
}

# Compress all generated content
compress_generated() {
    cd "$ICLOUD" && tar -cf - generated | zstd -f -q -o "$GENERATED_ZST"
}

# Get compressed sizes
stats() {
    echo "=== Binary Storage Stats ==="
    ls -lh "$LEARNED_ZST" 2>/dev/null | awk '{print "Learned: " $5}'
    ls -lh "$GENERATED_ZST" 2>/dev/null | awk '{print "Generated: " $5}'
    du -sh "$ICLOUD" 2>/dev/null | awk '{print "Total iCloud: " $1}'
}

case "${1:-stats}" in
    compress) compress_learned && compress_generated ;;
    decompress) decompress_learned ;;
    stats) stats ;;
esac