Multi-Agents
Collaboration Architecture
A distributed agent architecture for efficient collaboration. Fuses speech recognition, memory, tool use and execution loops — natively suited to automated operation, embodied intelligence, and multi-sensor coordination. From conversational AI to actionable AI.
Input · Cognition · Execution · Memory Feedback
Not layered stacks — a closed loop. Three-stage flow plus memory continuously feeding decisions back, forming a self-evolving Agent system.
Three capability leaps
More natural multimodal interaction
Voice, text, vision, sensor input fused seamlessly; output side generates TTS streams, text replies, and action commands in sync. One input fires three outputs — conversation pace approaches human.
Stronger tool use & orchestration
From single-call to flow orchestration — Agents chain multiple tools to complete complex tasks autonomously. The model decides which tool, when; developers only declare what each tool can do.
Software automation × embodied control
Operate software UIs (click, type, navigate), drive hardware (servos, lights, displays), and link multi-sensor input into spatial awareness. AI no longer just thinks in the cloud.