Source identity
| Field | Recorded value |
|---|---|
| Source type | GitHub source |
| Original record | Janady13/complete-agi-core / thataiguy/binary-storage.sh |
| Date | Not specified in source |
| Repository | Janady13/complete-agi-core |
| Revision | 223c58f8857eb60c4d020e6d6feacdbfb482d71d |
| Branch | main |
| Path or archive member | thataiguy/binary-storage.sh |
| Original SHA-256 | f809255394505eb22f8075b35024a34c6d4c48cd79b5458d9588c45f20bda5a0 |
| Git blob SHA | 6992691a37cae79c6e14f34139cc6f7a7517b2a1 |
| Reading-copy SHA-256 | f809255394505eb22f8075b35024a34c6d4c48cd79b5458d9588c45f20bda5a0 |
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="$ICLOUD/thataiguy/learned_items.json.zst"
GENERATED_ZST="$ICLOUD/generated.tar.zst"
# Compress learned items (called after each learn)
compress_learned() {
local json="$ICLOUD/thataiguy/learned_items.json"
[ -f "$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