voidly
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voidly
v0.3.0
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[...]
13/13 nodes operational
│
... active users
│
99.8% uptime (30d)
│
94.7% success rate
│
47ms avg latency
│
cloak v2.9.0 active
│
https mimicry enabled
│
zero logs // ram-only
│
13/13 nodes operational
│
... active users
│
99.8% uptime (30d)
│
94.7% success rate
│
47ms avg latency
│
cloak v2.9.0 active
│
https mimicry enabled
│
zero logs // ram-only
│
we built autonomous infrastructure.
now it's open source.
13 self-healing VPN nodes • ... users • 99.8% uptime • zero manual intervention
[see_it_running_live]
[view_source_code]
> the_problem
traditional infrastructure requires constant human intervention:
├─ node fails → wait for alert → ssh in → restart manually
├─ takes hours, users affected
├─ requires 24/7 ops team
└─ expensive, doesn't scale
> our_solution
autonomous system that heals itself:
self_healing
detects failures in 30s
spawns 3x replacement nodes
geographic distribution
auto-restarts crashed agents
zero manual intervention
ai_routing
xgboost (92% accuracy)
trained on 8,429 samples
47ms inference time
real-time optimization
federated_learning
trains on nodes locally
uploads to ipfs
zero data exposure
continuous improvement
> production_metrics
traction:
total_users:
35,452
uptime_30d:
99.8%
avg_latency:
<50ms
active_connections:
4,520
autonomy:
recovery_time:
<30s
manual_interventions:
0
ops_team_size:
0
monthly_cost:
$373
> architecture
three-layer autonomous system:
1. hydra_monitor.py
checks all nodes every 5s → detects failures in 30s → spawns 3x replacement nodes in diverse regions → publishes events to redis
2. self_healer.py
monitors health endpoints → auto-restarts crashed agents → verifies recovery → preserves active VPN connections
3. node_trainer.py
collects wireguard metrics → trains xgboost locally → extracts gradients → uploads to ipfs → federated learning
[full_source_on_github]
> tech_stack
infrastructure:
wireguard
cloak_v2.9
shadowsocks
systemd
backend:
python_3.10
asyncio
redis
postgresql
ml:
xgboost
pandas
scikit-learn
ipfs
monitoring:
websockets
telegram_api
real-time_dashboards
zero_logging
> potential_applications
• vpn_networks
self-healing nodes, auto-recovery, zero ops team required
• cdn_infrastructure
autonomous edge nodes, intelligent routing, geographic redundancy
• api_gateways
auto-scaling, health monitoring, instant failover
• distributed_systems
node orchestration, consensus handling, self-repair
> open_source
releasing the autonomous infrastructure framework under mit license:
✓ self-healing orchestration scripts
✓ federated learning pipeline
✓ real-time monitoring dashboards
✓ deployment automation tools
✓ production battle-tested (4,840+ sessions)
[star_on_github]
> looking_for
partners:
• infrastructure companies needing autonomous ops
• vpn providers looking to scale without ops teams
• cdn/edge computing platforms
• anyone building distributed systems
investors:
• looking to scale to 100+ nodes
• expand federated learning capabilities
• mobile apps (ios/android)
• enterprise support + white-label
interested in working together?
[email protected]
this isn't theory. it's running right now.
[watch_live_system]