After IBM took notice, three surged 50x

Original Author: KarenZ, Foresight News

A partnership announcement with IBM has quickly thrust the Solana ecosystem project three.ws into the market spotlight, with its token, three, surging 50-fold.

The direct catalyst for the price increase came from IBM. On the night of June 1st and the early morning of June 2nd, the official IBM Twitter account responded twice to content published by three.ws regarding their collaboration.

During the news frenzy, the three.ws token, three, experienced a rapid rise. According to GMGN data, three's market cap surged from around $300,000 before IBM's response to a peak of $16.38 million on June 4th, a staggering 53-fold increase. Currently, three's market cap is fluctuating around $13 million.

It's clear this wasn't a sustained rally from the token's launch. three was actually issued on the Solana chain back in late April, with the main price surge concentrated around the time of IBM's public response and the collaboration announcement.

However, viewing three.ws merely as a Solana AI project backed by an IBM partnership would overlook its core objective: currently, most AI Agents remain hidden within chat windows and backend programs, invisible to users and difficult to identify, own, or invoke across different websites, devices, and chain environments.

three.ws aims to equip AI Agents with a body, memory, identity, wallet, and distribution channels, transforming them into 3D digital characters that can appear on web pages, execute actions, and conduct transactions.

Liberating AI from the Chat Window onto the Web Page

three.ws defines itself as the "3D Agent Layer" for the internet. Founder @nichxbt currently has over 20,000 followers on Twitter with a blue check verification.

The project is now live on AWS Marketplace and Alibaba Cloud's international marketplace, and has joined the Google Cloud for Web3 Startups program. three.ws is also listed in the official Anthropic MCP Registry, is a W3C Contributor, and a participant in the Solana Frontier Hackathon.

Based on the project's existing code and documentation, three.ws's foundational capabilities include loading, inspecting, and displaying 3D models on the web. Subsequently, it integrates Large Language Models (LLMs), memory, voice, skills, on-chain identity, and payment functionalities.

Simply put, developers can create a 3D character on the platform, connect it with an LLM, memory system, voice, and skills. Then, they can embed it into a website using an `` web component.

For example, a business could deploy a 3D shopping guide Agent on its product page to introduce items, answer questions, and demonstrate product features through actions. Developers can also build digital customer service agents, virtual teachers, game characters, or personal AI assistants.

This process is somewhat similar to embedding a YouTube video. Developers don't need to build complex 3D pages from scratch. After adding the component and Agent ID, users can see and interact with the Agent directly in their browser.

three.ws offers various ways to create characters. Users can upload a selfie to generate an animatable 3D avatar in about 60 seconds; generate a model from text or images; upload their own GLB or glTF files; or use the character editor to build one.

After creation, developers can configure the character with different LLMs, voices, and skills.

three.ws also integrates on-chain capabilities for its Agents. An Agent can own a Solana wallet, use the x402 protocol to pay for paid interfaces with USDC, and register its identity as a Metaplex Core asset on Solana or via ERC-8004 on EVM chains. It's important to distinguish between identity and funds: the on-chain identity proves who owns the Agent and where its profile points; the wallet handles payments and transactions.

How Does a 3D Agent Operate?

three.ws is composed of four independent and interchangeable technical layers. Developers can combine all four layers or use only a subset.

The bottom layer is the Viewer layer, i.e., the rendering layer.

This layer handles loading and displaying the 3D model in the browser, including lighting, camera, materials, and animations. It is built on three.js and is unaware of whether an AI, wallet, or on-chain identity exists behind the model. Therefore, even without an Agent, the Viewer can function independently as a 3D model viewer.

The second layer is the Agent layer, which serves as the character's brain and behavior system.

After user input, the LLM makes decisions based on the character's setting, historical memory, and installed skills. If a user asks the character to wave, the model calls a corresponding tool, and the scene controller plays the waving animation. If the character needs to remember something, the memory module saves the relevant information.

This layer also includes an emotion system. The character can change expressions, gaze, and actions based on events, appearing happier upon task completion or displaying concern upon operation failure.

The third layer is the Identity layer. This is an optional module.

The identity layer ensures the Agent maintains the same identity across different websites, devices, and sessions. The Agent's profile, memory patterns, and resource addresses are written into a Manifest file and stored via IPFS or the platform's server.

According to three.ws official documentation, its Solana Agent supports on-chain identity registration via Metaplex Core, but on-chain reputation registration and verification registries related to ERC-8004 are currently only available on the EVM side, with the verification registry still in the testnet phase.

The fourth layer is the Embedding and Distribution layer. This layer brings the Agent to the user. Developers can use web components, iframes, widgets, or SDKs to integrate the character into websites, applications, and enterprise interfaces.

In simpler terms, the rendering layer handles the body and actions, the Agent layer provides the brain, memory, and skills, the identity layer provides an optional digital passport, and the embedding layer deploys the character onto websites and apps.

three.ws's fee structure should be understood from two dimensions: the channel through which users purchase or use services, and the fees incurred for platform usage.

Regarding purchase/usage channels, users can subscribe directly, choosing between a Free version, Pro ($49/month), or Enterprise plan based on their needs. AWS Marketplace serves as an enterprise procurement channel.

After subscribing to three.ws, developers can use x402 to set prices for Agent chats, content generation, or API calls, with the caller paying per use in USDC. Platform fees are deducted from the revenue earned by the developer: currently, the platform fee for the Free version is 0% during public testing (post-test fees TBD); the Pro version has a 2.9% platform fee; and the Enterprise version's fee is customized based on agreement.

IBM Complements Enterprise Capabilities, AWS and Others Handle Distribution

For 3D AI Agent projects, creating a demo digital character isn't the hard part. The real challenge lies in getting the product into enterprise procurement systems and meeting requirements for billing, deployment, identity verification, and AI governance.

three.ws is filling these gaps through platforms like IBM and AWS Marketplace.

On May 27th, three.ws announced its membership in the AWS Partner Network (APN) and subsequently went live on AWS Marketplace. This allows enterprise customers to purchase three.ws services using their existing AWS accounts.

Following this, three.ws published a technical article on its SaaS billing solution on the AWS Builder Center blog. This solution connects AWS Marketplace's customer verification, usage-based billing, and subscription management with on-chain x402 payment interfaces.

Regarding the IBM partnership, three.ws plans to combine its 3D Agent technology with IBM's enterprise AI, hybrid cloud, and market channels, integrating the IBM Granite series of models for scenarios like conversational AI, image understanding, semantic matching, market prediction, and enterprise governance.

AWS Marketplace helps three.ws integrate into the enterprise procurement and billing system, while IBM provides enterprise AI technology and commercial channels. Both partnerships point toward the same goal: transforming the 3D AI Agent in the browser from an eye-catching demo into a service that enterprises can purchase, deploy, and manage.

In a bear market, IBM's public response granted three.ws scarce market attention.

But after the hype subsides, the project must still answer more practical questions: Do enterprises and developers truly need an AI Agent with a body, skills, and digital identity? And what role will three ultimately play within this system?