Kairos’ Ambition: Building an “Agent-as-a-Service” Ecosystem Where Everything Can Become an Agent

As AI agents rapidly become a central focus in the AI field, the broader AI industry is now stepping into its 2.0 era. At the heart of the “AI Agent” concept is an intelligent system capable of perceiving its environment, making decisions, and executing tasks or services—often with the ability to understand natural language instructions, learn user preferences, and even autonomously make decisions under certain circumstances.

An AI agent only needs a target goal. From there, it can independently plan and take action, breaking down the required tasks step-by-step. By drawing on external feedback and its own reasoning, it can create prompts for itself and drive toward the goal. In simpler terms:

AI Agent = Chatbot (interactive entry) + fully automated workflow (perception, reasoning, and action) + static knowledge base (memory).

Some typical use cases for AI agents include autonomous driving. Once a user inputs a destination, an AI agent—powered by AI algorithms and various vision technologies—takes over driving tasks, making decisions and acting on them, demonstrating genuine autonomy and adaptability. In gaming, AI agents are increasingly used to simulate human players (as in-game opponents or NPCs), autonomously execute tasks, or even adjust difficulty based on a player’s performance to maintain a challenging experience. Beyond these examples, many industries—such as manufacturing, finance, healthcare, agriculture, and cybersecurity—are experimenting with AI agents.

According to Electric Capital and Messari’s 2024 annual report, the number of on-chain developers working on AI-related projects globally has grown by more than 80% year over year, signaling that an ever-increasing number of developers are seeing on-chain technology as the new operational ground for AI services.

On the flip side, large-scale AI agent applications are still in their early stages. Traditional centralized platforms (such as major cloud service or AI API providers) may support early model deployment, but their high cost, low composability, and opaque service processes have become bottlenecks hindering the widespread adoption of intelligent services. In new system architectures that rely on multiparty collaboration, real-time feedback, and dynamic self-learning, centralized platforms struggle to meet demands for low latency, high privacy, and flexible interactions. At the same time, high barriers to AI agent deployment—dominated by leading tech companies—make it difficult for individual users and smaller developers to access truly personalized and autonomous intelligent services. Without open, decentralized infrastructure, agents cannot freely migrate or sustainably evolve, exacerbating technological and resource concentration.

Against this backdrop, Kairos is taking a “resource-as-a-service” approach using a DePIN-based architecture to build a high-accessibility, highly programmable Web3 resource stack—complete with a built-in incentive mechanism—aiming to create a brand-new “Agent-as-a-Service” ecosystem. By offering a unified, flexible, and extensible foundation, Kairos hopes to spur the sustainable evolution of next-generation decentralized intelligent systems and pave the way for a world where everything can become an agent.

---

Kairos’ New Narrative of “Agent-as-a-Service”

Kairos itself is a Web3-oriented AI infrastructure consisting of a DePIN network centered around the SoulBoundRing smart device and a back-end computing network called Kairos Stack. The former provides decentralized resources needed for AI agents to operate, while the latter delivers a low-code or even no-code programming environment for AI agent services—speeding up frictionless AI agent adoption across different domains.

DePIN Resource Network

Within Kairos’ DePIN architecture, the lightweight, wearable SoulBoundRing device is the core touchpoint of the entire distributed resource ecosystem. Through this device, users can seamlessly integrate local resources—such as home GPUs, mobile devices, or ARM chips—into Kairos’ back-end computing network. In return for contributing resources, they earn on-chain rewards, creating a closed-loop “resource-as-value” incentive.

Unlike typical wearable devices, SoulBoundRing is a medically certified edge computing device that integrates multiple core patents. It is equipped with the world’s smallest medical-grade CIS optical sensor module, supports multimodal data collection and temporal modeling, and delivers clinical-level accuracy (<5% error). It can monitor heart rate, HRV, blood pressure, blood oxygen levels, micro-vibrations, and more (12 key physiological indicators), including early detection of Parkinson’s tremors. Patents cover China, the U.S., and Taiwan, creating a comprehensive hardware and algorithmic protection framework.

Beyond data collection, SoulBoundRing has a built-in low-power AI module and local model engine that support lightweight agents capable of on-device inference and task responses. Users naturally build personalized behavioral profiles through day-to-day use. By employing edge computing for sensing, reasoning, and feedback, the device becomes a miniature intelligent node in Kairos’ agent network.

Moreover, SoulBoundRing includes TEE-based encryption for identity and payment, allowing local signing, on-chain interactions, and seamless payments. Whether uploading data, invoking agents, or receiving results, all operations are securely handled on the device. Serving as both a blockchain identity credential and a resource connector, it establishes a trusted interaction path among user, data, and assets.

Comparison	Traditional DePIN Devices (e.g., Mining Machines, Routers)	SoulBoundRing (Kairos Smart Ring)
Sensing	Typically no sensing; relies on external signals	Built-in optical sensors supporting real-time measurement of blood flow, HRV, temperature, vibration, etc.
Computing	Simple tasks; core logic in the cloud or main node	On-device AI module supports local model loading and independent agent inference
Identity & Permissions	Often relies on external wallets or account binding	Integrated TEE + Web3 wallet; supports local signing and DID authentication
Asset Interaction	Generally one-way incentives (e.g., hashing or bandwidth)	End-to-end on-chain payments for data mapping, service consumption, agent calls, and more
Execution	Mostly passive; just uploads resources for others to use	Can actively trigger agents, bind and execute task logic, and perform on-chain actions
Network Role	Resource provider (compute/storage)	Data collector + agent trigger + payment interface + execution node
Closed-Loop Tasks	Cannot perform local sensing-execution-feedback	Supports a “sense-decide-pay” loop, providing dense edge touchpoints for the agent network

In Kairos’ vision of “device-as-a-node,” the SoulBoundRing fulfills five roles at once: data producer, compute executor, agent consumption terminal, resource aggregator, and incentive participant. Users can map their data to the blockchain, carry out personalized intelligent tasks, receive feedback and recommendations, and earn $Kairos tokens for their service contributions—bridging the real and on-chain worlds. It functions as the frontline execution unit of Kairos’ distributed computing network and is the critical gateway for bringing AI agents to the individual level.

Computing Network: Kairos Stack

Kairos Stack is the blockchain-based back-end computing platform of the Kairos network. It handles resource orchestration, task scheduling, and value exchange, serving as the operational hub that powers decentralized intelligent systems. The stack provides a modular deployment environment with task self-driving capabilities, aiming to eliminate traditional AI services’ structural reliance on centralized resource platforms.

Once the DePIN resource layer brings computation and data on-chain, Kairos Stack offers developers and non-technical users a no-code workflow environment. Through a visual interface, users can easily compose a complete AI workflow—combining model inference, plugin calls, external data interaction, and more. The system automatically breaks tasks down into “atomic tasks” that can be distributed in real time to the best available edge nodes, achieving genuinely decentralized collaborative computing.

With its built-in semantic understanding engine and scheduling logic, Kairos Stack intelligently generates optimal execution routes based on user intent—enabling parallel processing with multiple agents and elastic load balancing. Meanwhile, Kairos Stack allows developers to package various on-chain financial protocols, off-chain CEX APIs, and blockchain analysis modules as plugins to be deployed at the edge. This makes it possible to build serverless trading agents, security-auditing agents, and a wide array of other Web3 services.

In this framework, every node that executes tasks and every contributor of data receive on-chain rewards. The system evaluates the value of contributions across different dimensions—task complexity, resource usage, data utility—and automatically settles payments in the native $Kairos token, creating a sustainable incentive loop.

Looking ahead, Kairos Stack promotes an “Agent-as-a-Service” model, turning the platform into an incubator for Web3-native intelligent ecosystems. In this system, each agent can register on-chain as a service unit, be assigned its own token, set up call prices, manage access privileges, and configure incentive strategies—forming a standalone economic model akin to a micro dApp. In other words, any algorithm, module, or even physical entity can be turned into an agent ready to be called upon. From health-monitoring programs to on-chain trading components, all sorts of use cases can be packaged as AI agent service components running at the edge, available for other tasks to invoke or combine—realizing the vision of “everything can be an agent.”

By leveraging Kairos’ no-code platform and standardized runtime framework, both developers and ordinary users can create, deploy, and monetize their intelligent agent services without specialized technical expertise. Agents thus become not just tools for the tech giants but resources anyone can use, configure, collaborate with, and be rewarded for. Ultimately, this paves the way for large-scale AI agent adoption across diverse industries.

Overall, AI agents are still in the early stages of development. Despite the rapid progress of large language models and multimodal technologies, challenges in computing costs, system trustworthiness, and resource allocation remain major hurdles to large-scale adoption. One of the biggest obstacles is building an infrastructure that is accessible, trustworthy, and scalable enough to support widespread agent deployment.

Kairos aims to be the solution to these problems. By creating a decentralized network of open resources, on-chain incentives, and modular computing platforms through its DePIN architecture, Kairos provides an end-to-end operational environment for AI agents—from sensing and inference to execution. Not only does it lower the barrier to deploying intelligent agents, but it also reshapes their economic model, turning agents from mere tools into genuine service units. With Kairos laying a solid foundation for large-scale AI agent adoption, the vision of “everything can be an agent” no longer feels far away.