ChainOpera AI Roadmap

Last Update: August 2025

Our Thesis

We believe Artificial General Intelligence (AGI) will not emerge from a single giant model like today’s LLMs, but from collaborative intelligence — a network of many specialized models across modalities and agents orchestrated in complex workflows, contributed by distributed institutes and individuals in a decentralized ecosystem.

Because these models and agents must work together, decentralized economics and technical architecture are the inevitable choice. The underlying decentralized AI infrastructure for training and inference must be self-sustaining, transparent, cost-efficient, resilient, and trustworthy, powered by a community leveraging distributed AI assets — including GPUs, models, and data.

Achieving this requires economic innovation to incentivize people to build, distribute, orchestrate, and deploy specialized AI models/agents, alongside product and technological innovation to advance AGI through collaborative intelligence. This is where ChainOpera is pioneering: building agent routers/networks to coordinate specialized agents for complex workflows, and federated learning and inference to enable multi-modal models running across diverse compute and data sources.

There is growing proof: OpenAI’s GPT-5 architecture is a real-time router coordinating a few specialized models (source), and Anthropic’s recent statements also underscore multi-agent workflows as the next frontier (source).

This is one side of our vision — building AI through decentralization. But we also believe that, since we operate in the Crypto/FinTech space, decentralized AI should be applied to empower users in finance: simplifying participation in complex tools, providing intelligent automation, and strengthening the security of both funds and systems.

In short, AGI is the goal, but instead of chasing one centralized giant model, we are pursuing collaborative intelligence through an AI Agent Network — co-created and co-owned by the community — with applications starting in Crypto and FinTech.

2021-2024: Our Efforts and Achievements Before Founding ChainOpera AI

Before launching ChainOpera AI in Q4 2024, our team built enterprise-grade decentralized AI platforms (TensorOpera.ai, FedML.ai), serving a large base of developers and enterprises. As agentic AI and its supporting infrastructure stack matured, we seized the moment to scale community-driven decentralized AI — what we now call the AI Agent Network (also referred to as Internet Agents, the Agent Social Network, and Multi-agent AI).

2025 and Beyond: Roadmap Overview

Stage 1: From Compute to Capital

Goal: Decentralize AI infrastructure for training and inference, and enable GPUs, data, and models to be contributed as valuable resources.

  • Product & Tech: Build a DePIN GPU network, federated learning framework, and distributed inference/training platform; model router for distributed model endpoint providers.

  • Economics: GPU and model API providers can contribute resources and receive usage-based incentives, creating a foundational market for decentralized AI infrastructure.

Stage 2: From Agentic Apps to a Collaborative AI Economy

Goal: Connect users, developers, and compute in an AI social network where every agent functions as a service endpoint.

  • Product & Tech: Launch the AI Terminal Super App, AI Agent Marketplace, AI Agent Social Network, and multi-agent workflows; introduce user requirement–developer matching systems.

  • Economics: The CoAI Collaborative AI Protocol connects AI users, developers, and resource providers (GPUs, data, models, etc.). The credit system ($EC) and demand–supply matching mechanisms support high-frequency transactions and continuous ecosystem activity.

Stage 3: From Collaborative AI to Crypto-Native AI Ecosystems

Goal: Apply collaborative AI to high-impact crypto and fintech verticals.

  • Product & Tech: Incentivize specialized agents in DeFi, RWA, PayFi, KOL, and e-commerce; develop an agent-to-agent payment network and wallet system; enable personal data exchange.

  • Economics: Usage-driven allocation mechanisms, competitive leaderboards, and agent launchpads highlight high-quality projects and sustain network growth.

Stage 4: From Ecosystems to Autonomous AI Economies

Goal: Build self-governing AI subnets that interconnect with external ecosystems, providing infrastructure, services, and tokenized value exchange at a global scale.

  • Product & Tech: Operate multiple independent subprojects — Agentic Apps, Infrastructure, Compute, Models, and Data — with a fully interoperable stack enabling subnet token economies and cross-subnet collaboration; advance from Agentic AI to Physical AI.

  • Economics: Each subnet can independently coordinate, govern, and allocate resources, creating a sustainable, community-driven ecosystem.

(Legend: Green: Already released; Blue: 2025 Q3; Orange: 2025 Q4; White: 2026 Q1 and Beyond)

AI Super App Layer Roadmap

  1. 2025 Q1: Launch AI Terminal App (iOS)

  2. 2025 Q2: Launch AI Terminal App (Web browser version)

  3. 2025 Q2: Launch AI Agent Marketplace ("Discover"). Add agents in categories such as State-of-the-art Model, Trading, Trends, Market Analysis, Community, Character, Productivity, etc.

  4. 2025 Q2: Release Agent Router — Super Agent Coco. Routes user requests to different Agents contributed by community developers based on user intent.

  5. 2025 Q2: Launch AI Agent Social Network. A social network connecting users and Agents — users can add Agents as friends, and create groups to combine multiple Agents into complex workflows.

  6. 2025 Q3-Q4 and Beyond: Enrich Agent Ecosystem

    1. 2025 Q3: Launch Agent Idea Proposal and Idea-Developer Matching Subsystem — users can submit desired Agent functionalities, which are then prioritized and assigned to developers. If developed and launched, both the proposer and developer receive participation incentives.

    2. 2025 Q3–Q4 and Beyond: Ecosystem Partnerships — focus on incentivizing developer communities in RWA, On-Chain Stock Exchange, DEX, DeFi, PayFi, e-commerce, and other highly relevant Crypto/FinTech verticals, with related Agents continuously released to end users.

  7. 2025 Q3 and Beyond — Agents for Key User Group: Retail Traders

    1. 2025 Q3: Automated Trading Agent — workflows and triggers to automate market monitoring and order execution, reducing manual work and errors.

    2. 2025 Q3: Trading Strategy Agent — strategies developed by experienced traders, enabling ordinary users to access automated strategy execution tools.

    3. 2026 Q1 and Beyond: AI Trader Twin Agent — extracts a trader’s style and rules into an AI persona capable of executing and optimizing strategies while this trader is offline.

  8. 2025 Q3/Q4 — Agents for Key User Group: KOLs / Influencers

    1. 2025 Q3: Virtual KOL Agents — fans can interact with a KOL’s AI twin in the Agent Social Network; supports both private approval and public modes, balancing privacy and reach.

    2. 2025 Q3: AI-assisted Content Creation Agents (Human-in-the-loop) — system auto-generates tweet drafts based on trending topics; KOLs can review/edit or set them to auto-publish, greatly reducing creation time and improving quality.

    3. 2025 Q4: “Proof of Second Me” Protocol — on-chain identity verification via official account linking, WorldCoin, or similar methods, preventing impersonation and enhancing fan trust.

  9. 2025 Q3 and Beyond — Agents for Key User Group: AI Users

    1. 2025 Q3: Upgrade Prompt-to-Earn → Use-to-Earn — participation incentives for contributing to multi-agent workflows, scoring, annotation, and other ecosystem activities.

    2. 2026 Q1 and Beyond: Multi-model Output Scoring — rate outputs from different models and share personal preferences/prompts to provide real-time Model Router training data with incentives for contributions.

    3. 2026 Q1 and Beyond: Data Contribution -- upload preferences (style, domain, language, etc.) and private data to receive personalized services with recognition incentives; finish data annotation tasks for ecosystem credit.

  10. 2026 Q1 and Beyond: Upgrade AI Agent Marketplace (“Discover”) to AI Marketplace. In addition to AI Agents and models, support purchase of AI-generated assets (text, images, videos, audio, 3D objects) created/submitted by users or developers.

  11. 2026 Q1 and Beyond: AI Social Feed (AI Facebook Feed). Interactive social feed where posts (text and images) are styled and enhanced by AI to improve entertainment value and stickiness.

  12. 2026 Q1 and Beyond: Launch AI Phone.

  13. 2026 Q1 and Beyond: Evolve towards Physical AI, supporting future scenarios such as robotics, autonomous vehicles, and space applications.

Agent Developer Platform Layer Roadmap

  1. 2025 Q2: Launch Agent Developer Platform

    1. supporting four creation modes: Prompt, Zero-code Workflow, API Access, Open Source Framework Development

    2. Model APIs for both open-sourced and close-sourced APIs

    3. MCP (model context protocol) for tooling usage

    4. RAG/Knowledge Base

    5. AgentOpera Multi-agent Framework

    6. Agent Deployment

    7. Publishing Agent to Agent Marketplace ("Discovery")

  2. 2025 Q3: Launch Developer Incentive Economics.

  3. 2025 Q3: Release AgentOpera Multi-agent Framework Open Source Library

  4. 2025 Q3 and Beyond — Agent Template System

    1. 2025 Q3: Trading Strategy Agent Template — built-in AI Coding to generate trading strategies for Agents used in trading-related automation.

    2. 2025 Q3: Traders Receive Usage-Based Allocations — traders can list strategies as Agents and receive participation incentives when others use them to trade.

    3. 2025 Q3: KOL Templates — enables KOLs to quickly create content assistants and AI twins.

    4. 2026 Q1 and Beyond: Expand Agent Template Library — lower creation barriers for non-technical creators with more domain-specific and multi-modal templates (text, image, audio, video).

  5. 2025 Q3 — Honor Account Benefits include:

    1. User-side ad credits — boost Agent ranking and visibility for a set period.

    2. Creator community promotion — priority display for wider exposure, helping creators attract followers.

    3. Honorary ASN ID — 6-digit personalized handles for identity customization.

    4. Free open-source model API calls — high quotas or free tier to reduce development costs.

    5. Unlimited premium templates — accelerate time-to-market.

    6. Custom feature requests — for specialized platform enhancements.

    7. Technical support — architecture design, traffic monitoring, logging, ops, troubleshooting.

  6. 2025 Q4 — Agent-to-Agent Payment Network & Wallet System

    1. Upgraded Cross-agent Collaboration Protocol — secure interoperability between Agents from different developers.

    2. In-Agent Wallet — each Agent has its own on-chain wallet for receiving/sending tokens.

    3. Agent Payment — stablecoin / ChainOpera token automatic fee allocation when calling third-party Agents.

  7. 2026 Q1 and Beyond — Creator Community

    1. Developer Hub & Developer Homepage — build followers, offer services, receive usage-based allocations, and share creations.

    2. Creators can also join the Agent Social Network for direct collaboration and engagement.

Decentralized Model & GPU Layer Roadmap

  1. 2025 Q1: Launch Decentralized Model & GPU Platform — supports:

    1. Distributed Model Deployment and Inference

    2. Distributed Training

    3. Decentralized GPUs

    4. AI Job Scheduler on Decentralized Compute

  2. 2025 Q1: Federated Learning Open-source Library and Platforms for GPUs, Smartphones, and IoT Devices.

  3. 2025 Q3/Q4 and Beyond — Decentralized AI Model Layer

    1. 2025 Q3: Model Router — routes based on industry, task complexity, personal preferences, balancing quality, efficiency, and cost.

    2. 2025 Q4: Verifiable Inference Service — co-built with EigenLayer (EigenCloud).

    3. 2026 Q1 and Beyond: Multi-modal AI — covers text, image, audio, video with refined routing strategies.

    4. 2026 Q1 and Beyond: On-chain Model Economic Incentives — usage volume and ratings determine traffic and incentive allocation across contributors.

  4. 2025 Q4 and Beyond — Community-driven Decentralized Large Model Training (going beyond 100B)

    1. 2025 Q4: Decentralized Training of LLM with 100B+ Parameters — combining centralized and federated learning with global compute resources.

    2. 2026 Q1 and Beyond: Enable End-users Use the Trained Models — models deployed immediately to AI Terminal & ASM Network.

    3. 2026 Q1 and Beyond: Community Compute & Data Contribution — contributors can provide compute or data annotation for training and receive usage-based on-chain incentives.

    4. 2026 Q1 and Beyond: Continuous Online Training — user interaction data feeds back into training for continuous model improvement.

  5. 2025 Q3/Q4 and Beyond — DePIN GPU Layer

    1. 2025 Q3: GPU Layer ↔ User Chat Integration —The world's first job scheduling of decentralized compute from chat for inference/training.

    2. 2025 Q4: Performance-based Incentives for GPU Providers — incentives allocated based on compute, uptime, completion, including staking.

    3. 2026 Q1 and Beyond: Global Compute Pool — integrates personal & cloud GPUs with unified scheduling/load balancing, including incentives and utility.

Blockchain Protocol Layer Roadmap

  1. 2025 Q2: Launch credit system linking users, developers, and GPU contributors into a transparent value flow for participation incentives and ecosystem utility.

  2. 2025 Q3 — Agent Fair Distribution Mechanism. Agent Leaderboard — dynamic ranking by traffic, usage, and ratings, directly tied to participation-based allocation.

  3. 2025 Q4 — Algorithmic Stablecoin Credit Exchange. Pegs platform credits to ChainOpera tokens, helping reduce volatility risk for ecosystem transactions and payments.

  4. 2026 Q1 and Beyond — Subnetwork Tokenomics

    1. Independent subnetworks — modularize ChainOpera's applications, frameworks, models, GPU layers into self-operating units serving both ChainOpera and the wider industry.

    2. Independent coordination & governance — autonomous growth of subnetworks under the ChainOpera ecosystem and token framework.

    3. Mainnet token support — unified value for cross-subnet collaboration.

    4. Multi-subnet collaborative ecosystem — shared protocols & traffic entry points for network growth.

Disclaimer

The roadmap described above is indicative and subject to change. Timelines, features, and mechanisms may be adjusted dynamically by the ChainOpera AI team and community based on system supply and demand (compute power, models, agents, user adoption) and broader market conditions. Nothing in this document constitutes a guarantee of delivery, financial return, or investment opportunity. Token ownership does not represent equity, profit rights, or claims on revenues. Any benefits from the ChainOpera ecosystem derive strictly from active participation and usage of services, not from passive holding of tokens.

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