OPERATION CENTER
ADVANCED RECONNAISSANCE & VERSATILE INTELLIGENCE SYSTEM
SYSTEM ONLINE 2026-03-22 — 00:00:00 UTC UPTIME 48H 00M 00S HETZNER CPX31
◈Neural Connection Map
Active AI Models
S4
Claude Sonnet 4.6
PRIMARY · OPENCLAW 2026.3.13
LIVE
Q3
Qwen3 (Ollama)
HEARTBEAT · STANDARD
STDBY
Sub-Agents
TR
Trading Agent
PHASE 1 · DATA COLLECTION
PROC
RI
Risk Agent
MONITORING · RISK
LIVE
MR
Memory Agent
MEM0+QDRANT · 768D
LIVE
RF
Reflection Agent
HYBRID · LIGHT+DEEP
IDLE
OC
Onchain Agent
BLOCKCHAIN
IDLE
LQ
Liquidity Agent
DEX/CEX
OFF
ST
Sentiment Agent
SOCIAL+NEWS
PROC
EX
Execution Agent
TRADE PIPELINE
IDLE
YouTube Research
▶
NOW RESEARCHING — ACTIVE
LIVE
MB
MrBeast
342M
VT
Veritasium
16.8M
LF
Lex Fridman
4.9M
3B
3Blue1Brown
7.1M
FI
Fireship
3.6M
◉JARVIS Core Status
97%
OPERATIONAL
Active Model
Sonnet 4.6
Memory Layer
L3 Active
Git Commits
50+
Memory.md
518 Lines
Tailscale
100.105.•••.••
Telegram
Active
Research Sources
arXiv
PubMed
Wikipedia
Scholar
Brave Search
Custom KB
⏱Scheduled Operations
Heartbeat Cycle
EVERY 15MIN · NEXT 14:30
Run
Memory Flush → Compact
EVERY 1H · NEXT 15:00
Run
Daily Log Summary
DAILY 00:00 · TOMORROW
Queue
Brave Web Sweep
EVERY 30MIN · LAST 14:00
Done
Mem0 Confidence Decay
DAILY 03:00
Queue
Trading Data Collect
EVERY 5MIN · NEXT 14:20
Run
Deep Reflection
EVERY 6H · LAST 12:00
Done
MEMORY.md Patterns
WEEKLY SUN · 2026-03-29
Queue
Qdrant Cleanup
WEEKLY MON · 2026-03-23
Queue
⬡Connected Agents
TR
Trading
COLLECTING MARKET DATA
RI
Risk
MONITORING EXPOSURE
EX
Execution
STANDBY
MR
Memory
MEM0 · QDRANT INDEX
RF
Reflection
LIGHT CYCLE
OC
Onchain
AWAITING TRIGGER
LQ
Liquidity
OFFLINE
ST
Sentiment
PROCESSING FEED
☑JARVIS Endgame — Progress Checklist
Infrastruktur 9/10
✓
Hetzner CPX31 — 4 vCPU, 62GB RAM, 436GB Disk
✓
Docker — Qdrant + TimescaleDB stabil
✓
Ollama — qwen3, qwen2.5-coder, nomic-embed, glm-4.7
✓
OpenClaw 2026.3.13 — Sonnet 4.6 aktiv
✓
Telegram — Bot gepairt und antwortet
✓
Tailscale — VPN Zugang konfiguriert
✓
SSH + UFW — Sicherheit gehärtet
!
PM2 — Leer, kein Hintergrund-Prozess aktiv
Memory System 10/10
✓
L1 Kurzzeit — OpenClaw Workspace aktiv
✓
L2 Mittelzeit — daily_logs/ + memory/
✓
L3 Langzeit — Mem0 + Qdrant 768d Vektoren
✓
L4 Identität — SOUL.md + MEMORY.md
✓
Mem0 Writer — Auto-Quality-Gate aktiv
✓
Heartbeat Sync — ruft mem0_writer.py auf
✓
7 Kern-Memories — in Qdrant gespeichert
✓
MEMORY.md — 518 Zeilen, komplett
Agent-Architektur 9/10
✓
8 Agents — dokumentiert in MEMORY.md
✓
LangGraph Orchestrator — jarvis_flow()
✓
Signal Fusion — Onchain 40%, Liquidity 40%, Sentiment 20%
✓
Memory Pipeline — Versionierung + Conflict Resolution
✓
Confidence Decay — asymmetrisch +0.05/−0.1
✓
Context System — 4-Layer, TTL, Budget, Scoring
!
Alles dokumentiert — aber noch nicht als laufender Code
OpenClaw Config 7/10
✓
Sonnet 4.6 — Primary Model aktiv
✓
Telegram Pairing — verbunden
✓
Brave Search — aktiviert
✓
Gateway — Loopback + Token-Auth
!
Kein Ollama-Fallback — nur Sonnet, kein lokaler Fallback
!
Heartbeat auf Sonnet — sollte Qwen3 nutzen (Kosten)
!
models.fallbacks — nicht definiert
Noch Offen — Kritisch 3 Steps
✗
Schritt 18 — Hyperliquid REST Polling + TimescaleDB + PM2
✗
Schritt 19 — Langfuse Monitoring Projekt erstellen
✗
Schritt 20 — Backup-Script + Cronjob auf Server
Offen — Wichtig 7 Items
!
Memory Flush — vor Compaction verifizieren
!
Deduplication — Similarity >0.9 Check fehlt
!
daily_logs/ — leer, Logs in memory/ statt daily_logs/
!
Mem0/Qdrant — nicht als Backend in OpenClaw
Phase 2 — Optimierung Roadmap
○
Hybrid Search in Qdrant aktivieren
○
Heartbeat auf Qwen3 umstellen
○
Morning Brief / Proaktiver Agent
○
Active Hours für Heartbeat
○
Context Pruning konfigurieren
○
Sub-Agents (Coding, Research, Trading)
○
WebSocket Streams für Echtzeit-Daten
GESAMTFORTSCHRITT — 8.5 / 10