An integratable Agent System for Android, Qualcomm, ESP32 and Linux, connecting models, memory, audio and real device tools.
From 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.
Perseus 1 brings AI into real hardware. More device forms can reuse the same models, memory and tool capabilities.
Our portable voice terminal is the starting point. We continue bringing voice, memory, tools and edge-cloud Agent capabilities to different consumer hardware forms.
A unified integration path for OEMs. Local models, cloud intelligence and device tools are selected according to each platform’s resources.
System AI Service, AIDL/SDK, model routing, memory, ToolGate and AppBridge.
Snapdragon platform integration for on-device AI and consumer terminal capabilities.
Espressif device integration for lightweight interaction and edge-cloud Agent services.
Embedded Linux and edge environments integrating model services, device tools and Agent runtime.
| Supported Hardware & OS Platforms | Typical Integration Capabilities | Status |
|---|---|---|
| Android | AI Service, SDK, model routing, memory, apps and system tools | Supported |
| Qualcomm Snapdragon | Chip-level model runtime and Agent device integration | Supported |
| Espressif ESP32 | Voice interaction, device events and edge-cloud Agent connectivity | Supported |
| Linux / Embedded Linux | Agent runtime, inference and tool interface integration | Supported |
We do not force full LLM inference onto every board. Choose local processing, cloud enhancement, tools or hybrid deployment based on device constraints.
Device events, real-time audio and user intent enter a unified task interface and are routed based on available resources.
Expose actions and tools through device adapters, check permissions before execution, and distinguish real device receipts from cloud hand-offs.
Start with the chip, Android/Linux version, memory, offline requirements, permissions and target tasks.