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FRAGMENTARY TRUTH THAT CANNOT BE ALTERED
Immutable logging • Blockchain anchoring • Encrypted storage • Cross-platform sync
Baudrillard's "Cool Memories" were fragmentary observations—truths captured in the moment. cool-memories provides immutable, cryptographically secured logging for research findings, anomaly detections, and forensic evidence that cannot be altered after the fact.
"Memory is neither good nor bad. It is simply true—if it cannot be changed."
Every entry is cryptographically chained to previous entries:
from cool_memories import ImmutableLog
log = ImmutableLog()
# Log an event
entry = await log.record(
event_type="emf_anomaly",
data={
"reading": 52.8,
"baseline": 47.2,
"deviation_sigma": 2.3,
"location": {"lat": 47.6205, "lon": -122.3493}
},
severity="medium"
)
print(f"Entry ID: {entry.id}")
print(f"Hash: {entry.hash}")
print(f"Previous hash: {entry.prev_hash}")Store binary data alongside entries:
# Log with attachment
entry = await log.record(
event_type="thermal_anomaly",
data=anomaly.to_dict(),
attachment=thermal_frame.raw_bytes,
attachment_type="image/thermal"
)Periodically anchor hashes to public blockchains:
from cool_memories import BlockchainAnchor
anchor = BlockchainAnchor(network="ethereum")
# Anchor current state
receipt = await anchor.anchor(log)
print(f"Block: {receipt.block}")
print(f"Transaction: {receipt.tx_hash}")
print(f"Proof: {receipt.merkle_proof}")Verify log integrity at any time:
# Verify entire log
result = log.verify()
if result.valid:
print("Log integrity: VERIFIED")
print(f"Entries: {result.entry_count}")
print(f"First entry: {result.first_timestamp}")
print(f"Last entry: {result.last_timestamp}")
else:
print(f"TAMPERING DETECTED at entry {result.tampered_entry}")◈ COOL-MEMORIES v2.0 › FORENSIC LOG
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
LOG STATUS
Entries: 847
First: 2024-01-15 08:47:23 UTC
Last: 2024-02-03 14:23:47 UTC
Integrity: VERIFIED ✓
BLOCKCHAIN ANCHORS
Latest: Ethereum block #18,847,392
Anchored entries: 823
Pending: 24
RECENT ENTRIES
▸ #847 [2024-02-03 14:23:47]
Type: emf_anomaly
Severity: MEDIUM
Hash: 7f3c...a892
Location: 47.6205°N, 122.3493°W
Data: +5.6µT deviation, 2.3σ
▸ #846 [2024-02-03 14:12:03]
Type: network_phantom
Severity: HIGH
Hash: b2d8...3f41
Location: 47.6205°N, 122.3493°W
Data: 10.0.0.47 responded, no host
▸ #845 [2024-02-03 13:47:22]
Type: thermal_anomaly
Severity: HIGH
Hash: 9e1c...7d23
Attachment: thermal_frame.raw (12.4 KB)
Data: Cold spot -8.9°C delta
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
TOTAL SIZE: 47.8 MB • CHAIN VALID ✓
All data can be encrypted at rest:
from cool_memories import ImmutableLog, Encryption
# Create encrypted log
encryption = Encryption(key_derivation="argon2")
log = ImmutableLog(encryption=encryption, password="your-secure-password")
# Entries are encrypted before storage
# Attachments use AES-256-GCM
# Key is derived from password using Argon2idSync logs across devices while maintaining immutability:
from cool_memories import SyncManager
sync = SyncManager(log)
# Sync to cloud
await sync.push()
# Pull from other devices
await sync.pull()
# Resolve conflicts (uses hash chain, never loses data)Full log management with:
- Timeline visualization
- Search and filter
- Export capabilities
- Verification tools
Capture evidence on the go:
- Quick event logging
- Voice memo transcription
- Photo/video capture
- GPS tagging
- Background sync
Command-line interface for automation:
# Log an event
cool-memories log --type "observation" --data '{"note": "Strange occurrence"}'
# Verify log
cool-memories verify
# Export for legal use
cool-memories export --format legal --output evidence.pdfcool-memories is designed to produce logs that can serve as evidence:
- Cryptographic proof of non-tampering
- Timestamped entries with optional blockchain anchoring
- Chain of custody through hash linkage
- Export in legally accepted formats
All Baudrillard Suite tools integrate with cool-memories:
from spectral import MultiModalScanner
from cool_memories import ImmutableLog
log = ImmutableLog()
scanner = MultiModalScanner()
# Auto-log all anomalies
scanner.set_logger(log)
async for anomaly in scanner.scan():
# Already logged immutably
print(f"Logged: {anomaly.log_entry.hash}")pip install baudrillard-cool-memories
# Mobile apps
cd apps/cool-memories-mobile
npm install && npx expo buildPart of the Baudrillard Security Suite — philosophical security tools for the postmodern threat landscape:
| Tool | Purpose | Language |
|---|---|---|
| simulacra | Rootkit detection via process ontology | Python |
| hyperreal | Memory forensics & negative space analysis | Rust/Python |
| cool-memories (this repo) | Immutable forensic logging & evidence chains | Python |
| spectral | Liminal signal analysis | Python |
Built by NullSec — Security through philosophy.