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You are browsing real pipeline data captured from a live 5-Domia home mesh — latencies, delegation journeys, memories and emotions are genuine. Voices are synthetic. The demo is read-only.
Domias

Torque

Offline·Thin client
DOMIA_TORQUE192.168.0.8:3114·Config-active·Last interaction 5 hours ago
Performance

First audio p50

1.92 s

p95 2.08 s

Total p50

5.47 s

p95 12.41 s

Interactions

7

Execution

0 local

7 delegated

STTstreaming-zipformer-en6×111 ms
LLMllama3.1:8b7×1.76 s
TTSKOKORO5×908 ms
Stage waterfall (avg)
STT111 msLLM1.80 sTTS908 ms

First audio at 1.93 s — the user hears Domia speak 894 ms before the full 2.82 s pipeline finishes, thanks to per-sentence LLM→TTS pipelining.

Persona
Character
Torque
Personality
CAUTIOUS
Profession
TECHNICIAN
Style
RESERVED
Perceived age
ADULT
Knowledge
EXPERT
Relationship
HELPER
Role mode
ADVISOR
Language
en

Interests

torque specslubricantsdoing it right the first time

Hobbies

organizing bolts by thread pitch

Skills

repairstool advicesafety checks
Engines
Read-only · via DB

LLM

Engine
OLLAMA
Model
llama3.1:8b
Temperature
0.7
Context window
4096
Max tokens
80
Concurrency
3

TTS

Engine
KOKORO
Voice
am_adam
Language
en
Speed
1

STT

Engine
ZIPFORMER
Model
streaming-zipformer-en
Language
en

Wake word

Engine
KWS
Keyword
computer
Framework
onnx
Modules
Emotion engine
Emotion capture
Memory engine
Fact capture
Fact recall
Collective mind
Narrative engine
Identity engine
Remote access
Reflect when idle
Reflection concurrency
2
Mood
Capabilities
Read-only · via DB
Wake word
Record
Speech to text
Intent detection
Intent execution
Prompt generation
Language model
Text to speech
Playback

Delegations

None — runs everything locally.

Skills
Read-only · via DB

No skill providers configured.

Recent interactions