LANCUN
§ 01 · CORE TECH
Infrastructure Layer

智能体
互联基础设施

From IoT · to AoT

Open protocols · cross-platform agent network. Let foundation models step out of the screen — turn every endpoint from a “dumb device” into a sensing, remembering, deciding, collaborating agent node. The paradigm shift from IoT to AoT.

Open protocolsCross-platform accessUniversal intelligenceIoT → AoT
Agents of Things · infrastructure
§ 02 · PARADIGM SHIFT

From device connectivity · to agent connectivity

The Internet connected devices · the AoT era connects agents that can sense, remember, decide, and act

Internet era

Internet of Things
Connects · devices
Core upgrade

Foundation model = New OS

Foundation Model as OS
Unified intelligence gateway · physical meets intelligent

Every thing is an Agent

Agents of Things (AoT)
感知
决策
协作
记忆
Four capabilities · sense / decide / collaborate / remember
§ 03 · KEY CONCEPTS

Key concepts · the universal agent protocol layer

From device to agent · from networking to protocols · redefining “access”

01

Foundation-model physical access layer

Physical access

Standardized communication interfaces let any endpoint plug into a foundation model the fast way. From IoT's “can it connect?” to AoT's “can it understand, remember, decide, and act?” LANCUN provides the full stack from module to protocol.

02

Device as agent

Device-as-Agent

Not bolting an AI interface onto a device — turning every device into an Agent. Endpoints are no longer passive tools that respond to commands; they are intelligent individuals with personality, memory, judgment, and the ability to act.

03

Sensor semantic translation

Semantic translation

Temperature, humidity, light, vibration, distance, position, touch, pressure — translate these mechanical signals into world semantics a foundation model can understand. Like teaching the model to read sensors as fluently as natural language.

04

Embodied action execution

Embodied action

Foundation models don't just answer — they call hardware, control devices, run workflows, turning intent directly into real-world action. From “answering questions” to “completing actions”, from Conversation AI to Actionable AI.

05

Universal agent protocol

Protocol standard

Every device will need a new intelligent protocol describing what it can sense, remember, execute, and collaborate with. LANCUN aims to define the standardized access language for things-becoming-Agents — the TCP/IP of the AoT era.

06

Spatial agent network

Spatial intelligence

Homes, hotel rooms, classrooms, hospital wards, vehicle cabins — all can be organized into one collaborative agent. From single-point device intelligence to space-level coordinated intelligence. The room itself becomes an agent that senses, understands, and proactively serves.

§ 04 · NERVOUS-SYSTEM ANALOGY

Rebuilding the nervous system · of the physical world

Bring AI from the screen into every real scene · rebuild the nervous system between the physical and intelligent worlds

输入层
Sensory nerves
Sensor capture and translation · turn physical change into semantic information
中枢层
Cognitive cortex
Foundation-model understanding & decision-making · reasoning, judgment, and planning at the semantic layer
Memory hippocampus
Layered long-term memory · experience, relationships, and personality persist
输出层
Motor nerves
Embodied hardware control · turn decisions into real-world physical action
群体智能层
Coordination network
Multi-agent task dispatch and collaboration · let collective intelligence emerge

Let every device · become a collaborative agent