The World’s First Truly Decentralized ChatGPT right at your fingertips: Community-hosted DeepSeek Running on Blockchain-powered AI Terminal! (1/n) Today, ChainOpera AI is proud to make history: we’ve launched the world’s first end-to-end five-layer decentralized AI stack — live in an iOS app ( giving users free access to models... like DeepSeek-R1 and diverse community-built Agents. From prompt to response, human language tokens and crypto tokens flow through five layers: App, Agent, Model, GPU, and AI Chain + Smart Contracts. ChainOpera brings true decentralization to every layer — opening the AI ecosystem to users, model builders, agent devs, GPU providers, and data contributors to participate and earn.show more

(2/n) Why is this a breakthrough worth the entire community’s attention? Over the past few years, Crypto AI has made significant progress. However, until now, our community users have never experienced end-to-end access to the most powerful and up-to-date AI models (such as the open-source DeepSeek-R1) in a truly decentralized platform. We have seen decentralized GPU communities like and Render, but due to the limitations of distributed inference technology and the lack of well-designed app-oriented tokenomics, they have been unable to connect multiple decentralized GPU nodes—owned by different community users—into a cohesive service capable of supporting end-user applications with large model inference. We have also seen numerous projects working on verifiable model inference, but due to the performance constraints of technologies such as ZKML, TEE, and MPC, they are unable to run large-scale models like the 600B+ parameter DeepSeek-R1 with low latency and high scalability. At the agent layer, we’ve seen projects like Virtual Protocol, which adopt pump.fun-like mechanisms by attaching AI Agents to meme coins for trading. However, these have not driven any meaningful technological or product breakthroughs in Crypto AI. The AI Agents in these communities are provided by centralized AI providers, creating a disconnection between the application layer and the verifiable model inference and DePIN layers. As a result, the value contributed by the community cannot flow effectively between the app and infra layers. On the application layer, we have yet to see a Crypto AI project that truly emphasizes utility. This is because, until now, the industry has not integrated crypto and AI at the core of distributed computing. As a result, users still rely on centralized products like ChatGPT, Claude AI, Gemini, Grok3, and Perplexity in their daily lives. Today, we’ve changed that. ChainOpera AI is the first product to fully implement a multi-layered technical system that addresses all the above problems. It performs cross-layer co-optimization and ultimately brings decentralized AI directly to users. ChainOpera has truly achieved decentralized computation at every layer, opening up the entire AI ecosystem to participation from end users, model developers, agent creators, GPU contributors, and data contributors. All these roles can participate and gain rewards, enabling a more inclusive, transparent, low-cost, and scalable decentralized AI ecosystem.

(3/n) An artistic journey of language tokens and crypto tokens flowing across a five-layer architecture 1. AI Terminal App On the application layer, users can download our AI Terminal App, select DeepSeek-R1-Decentralized in the Discover tab, and start to do ChatGPT-like prompt. Once a prompt is entered, the artistic journey begins — where language tokens interweave with crypto tokens.

(4/n) 2. AgentOpera - Agentic AI OS and Network In this layer, language token flows into AgentOpera framework, a graph-based multi-agent framework where its router and orchestrator transforms user intent to a task plan for a network of AI Agents contributed by our developer community to collaboratively finish tasks or take actions leveraging diverse tools compatible with MCP (model context protocol). The architecture of AgentOpera is shown in the diagram and features several distinctive capabilities: 1) Orchestrator/Router intelligently routes user intents to the Agent Network, enabling a generalized AI agent for any task in daily life or work. 2) An agent-aware model training and serving platform optimized specifically for the unique workload patterns of agents. 3) Agent-to-agent communication allows distributed agent runtimes — built by different developers and deployed across diverse environments — to interact, laying the foundation for heterogeneous agent collaboration. 4) Hybrid AI Agents combine on-device and cloud-based agents, enabling personalized experiences, enhanced privacy, and reduced cloud computing load. 5) A robust ecosystem: with technologies like MCP, Framework Adapters, Zero-code Workflow Plugins, and Workflow API Integration, AgentOpera seamlessly connects with existing agents, tools, and data services across the broader ecosystem

(5/n) 3. ChainOpera Federated AI Platform - The World’s First Truly Decentralized AI Platform “Federated AI Platform” for co-training and co-serving community-owned AI agents. It provides an affordable and highly available decentralized AI infrastructure that facilitates economic collaboration among AI agent creators, users, and AI resource providers, creating a more inclusive and fair economy while prioritizing privacy and ownership in AI agents. More introduction can be found at Today, model developers can access this platform at

(6/n) 4. ChainOpera AI Decentralized GPU Network The ChainOpera decentralized GPU network is contributed by community members through "share and earn". In our latest release, GPU owners only need one line command to onboard their GPU to the network, the rest of the work is done by ChainOpera AI team to help them get rewarded when the iOS app needs more GPU compute for serving more traffic for end users. Based on the abovementioned Decentralized AI Platform and GPU Cloud, we’ve launched CO-AI Alliance. It is an open initiative aimed at fostering collaboration among developers, enterprises, and community members to advance decentralized AI applications. The Alliance offers opportunities for co-training, co-serving, and co-owning AI agents. Co-Train: Collaborative Model Development The Co-Train initiative invites participants to: - Collaboratively train generative AI models, including large language models (LLMs) like the Fox-V2, using decentralized GPU resources. - Utilize the ChainOpera Co-Train Library and Federated AI OS to streamline model training. - Leverage FedML’s decentralized training pipelines for scalable and cost-efficient AI development. The Co-Serve initiative focuses on: Deploying AI agents on decentralized GPUs, ensuring scalable, real-time applications. Innovating in areas like image generation, personalized AI agents, and multimodal models. Optimizing the distribution of computing workloads across edge devices, cloud platforms, and blockchain networks. The Initiative has established strategic partnerships for ChainOpera with leading organizations across various domains to enhance its capabilities and expand its reach. These partnerships are as follows: - GPU Partners: Render, Axlflops, PIN AI. - Data Availability Partner: 0G. - Model Training Partners: TensorOpera, FedML. - Data Provider Partner: Public AI. - Application Partner: Revox. - FHE Partner: MindNetwork. - Privacy Partners: Gateway, Phala Network. Media & Community Partners: The Block, Rootdata, D11 Labs, Scaling X. Additionally, its core technical contributors come from prestigious institutions such as Stanford University, UC Berkeley, the University of Southern California, Carnegie Mellon University, and the University of Illinois Urbana-Champaign. For more information, visit:

(7/n) 5. ChainOpera AI Dedicated Chain ChainOpera’s whitepaper outlines the vision, architecture, and technological framework of the ChainOpera AI Protocol (CoAI). The CoAI Protocol is designed to foster co-ownership and co-creation, enabling all participants to collaboratively build and advance a healthier, more equitable AI-driven ecosystem. By integrating blockchain capabilities, CoAI protocol ensures security, transparency, trustworthiness, and a shared economy across its network. It aligns the interests of all stakeholders through fair participation and incentivized contributions. The protocol empowers diverse contributors within the ecosystem, including: AI App and Agent Creators: Developers can seamlessly join the ecosystem to create and launch monetizable AI agents, benefiting from integrated blockchain security, privacy, and transparent reward systems. AI App and Agent Users: Users retain full data sovereignty while accessing AI services. They can stake and monetize their data to improve AI models, enabling secure and private collaboration that also rewards user participation. Resource Providers: Contributors such as GPU/compute providers, raw data suppliers, data annotators, and AI model developers can offer essential resources for training, deploying, and scaling AI applications. Their contributions are rewarded via a proof-of-intelligence system, ensuring equitable compensation. Multilateral Value Network The ChainOpera ecosystem’s economic flows are categorized into five aspects based on the machine learning lifecycle: - LaunchPad Value Flow (Purple and Red Color): Revenue generated from transactions on the LaunchPad, including agent creation and utilization. - Agent API Value Flow (Green Color): Tokenized payments for API services offered by AI agents. - Model Serving API Value Flow (Orange Color): Rewards distributed among GPU and model providers for supporting AI inference tasks. - Contribution Value Flow (Black Color): Rewards for contributors such as data annotators, GPU providers, and model developers. - Model Training Value Flow (Blue Color): Transparent fee structures for training models using platform resources. More details can be found at ChainOpera whitepaper:

(8/n) ChainOpera AI TestNet and AI Terminal App We are excited to launch our TestNet and AI Terminal app this month. Please download and start to earn from here: (Download TestFlight, you will find ChainOpera AI app). This is equal to testing our AI dedicated chain, since our TestNet is already starting to support our AI app for economic system introduced here:

(9/n) What’s Next in Our Roadmap? In coming weeks, we will release more features as follows: 1. In-app crypto wallet for smart trading 2. Your memory, your AI: On-device AI Agent for Your personal AI Experience. On-device LLM inference, Local RAG, multi-modal models, and federated learning for private model training. 3. Releasing AgentOpera open source Library 4. Releasing Agent developer platform 5. AI Launchpad 6. Launch L1 MainNet and more high performant models and interesting Agents from the community. We are looking forwards to your feedback. Let's build the best and largest decentralized AI community together!

Please download the app at

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I used to spend $20/month on ChatGPT and $18/month on Claude, but thanks to ChainOpera AI, I can now use them freely without worrying about the cost!