An integratable Agent System that brings models, memory, voice and tool execution to consumer hardware—so devices can understand, act and complete tasks, not just chat.
REAL HARDWARE · PERSEUS 1From portable devices and personal AI to home frames, social devices and an e-ink meeting tablet.Different product forms share the same Agent, memory and tool-execution foundation.
A compact, retro-inspired physical device that brings a personal agent into daily life through voice, personalized context and edge-cloud intelligence.
A personal Agent device designed for ongoing use: reminders, long-term memory, device tools and natural input—beyond opening an app to ask questions.
Go beyond passive photo display with natural-language search, content organization and companion-like interaction across family photos, stories and shared memories.
Explore how AI can help people build real connections through digital personas, shared interests and easier social discovery—not just generate another chat.
The team is discussing delivery dates, scope and key milestones that need confirmation.
Move AI from post-meeting summaries to in-meeting assistance. A low-distraction e-ink interface presents live transcription, key prompts and structured next actions.
Sources: Perseus 1 product photo, original product plans, the Live Meeting Copilot deck and internal demos. Physical products, demos and concepts are clearly distinguished.
Designed around the resource, permission and usage constraints of real consumer hardware. These are product principles, not unverified universal performance claims.
Tool permissions, action confirmation, error receipts and traceable execution.
Local-first design, least privilege and sensitive-data boundaries.
Edge-cloud orchestration, model routing, resource budgets and fallback.
Unified SDK, API and MCP interfaces reduce duplicated work.
Task evaluation, structured results, evidence and execution verification.
Memory, Audio and MCP are not isolated products. Together they form a deployable, permission-aware and reusable Agent runtime.
From intent understanding to device and app actions, verified receipts and memory write-back. Available as a complete system or modular integration for OEMs and developers.
Route between local small models and cloud models based on capability, privacy and resource constraints.
Task planning, multi-agent orchestration, state, execution and recovery.
Memory, RAG, audio, context, caching, evaluation and observability.
Unified tool registry, MCP services, AppBridge and device-action permissions.
We deliver integratable system capabilities and engineering—not a generic AI solution concept.
A complete Agent runtime with memory and tool execution, delivered through SDKs, server APIs, device integration and ongoing support.
Turn business, app and device actions into discoverable, permission-controlled and auditable Agent tools.
Model integration and routing, on-device inference, ASR/TTS and streaming voice—assembled for each task.
Integrate Android, Linux, ESP32 and other target hardware with SDKs, device actions and delivery testing.
One Agent System for Android, Qualcomm, ESP32 and Linux devices.
AI Service · Agent SDK · AppBridge · Memory / RAG。
SupportedQualcommSnapdragon ecosystem · on-device models and device integration.
SupportedESP32Espressif MCU platform · voice and lightweight edge-cloud Agent connectivity.
SupportedLinuxEmbedded Linux · AI runtime · device tools and service integration.
Real Agent OS demo screenshots with public-safe engineering notes. Demo switching explains the system; it does not trigger real device actions.
An on-device Agent completes tasks and preserves useful information as context for future work.
Runtime status, task context, results and long-term memory each have a clear place.
Working → Episode → Long-term。Not everything becomes long-term memory; information is structured and filtered first.
Bring today’s information and tasks together in one device entry point, ready for context-aware action.
Selected delivery examples are shown within approved disclosure boundaries. Partner identities and sensitive data remain private.
A voice-interaction solution for a small articulated robot collectible project for an international IP brand.
2 weeks Demo + engineering deliveryConnect information gathering, focused analysis, valuation and reporting into an executable workflow.
3 weeks Demo deliveryAndroid device engineering covers AI Service, model routing, memory, RAG and ToolGate.
Android Device-testedWe bring together AI software, edge runtime, real-time voice and hardware experience to build reusable Agent Systems for enterprise integration and our own devices.
Our own products help shape the on-device experience. Enterprise integrations make the system reusable across devices. We can deliver the full Agent System or integrate MCP, audio or device tools alone.
Discuss Integration ↗From Agent runtime and MCP to on-device models and SDK integration—bringing intelligence to next-generation consumer hardware.