🗺️7. Roadmap

1

2026 Q1

• Runtime infrastructure MVP will be completed: the computing power and resource layer, the AI/agent execution layer, and the state and event mechanism have completed the first round of integration

• Implement basic resource descriptors (GPU / CPU / video memory / bandwidth) and a unified scheduling interface

• Support a minimal closed loop for agent session creation, execution, and receipt feedback

• Launch basic execution logs and collect operational metrics (latency, error rate, resource usage)

• The first batch of decentralized finance projects (trading, clearing, risk control, or strategy agents) have launched sandbox operations and load profiling

2

2026 Q2

• By introducing role division within runtime units, the engineering-based decomposition of runtime responsibilities such as computation, execution, coordination, and verification is achieved

• Complete the standardized lifecycle of resource request, scheduling, execution, and confirmation

• Support differentiated scheduling strategies for transaction execution load and strategy inference load

• Launch a basic operational observability system (indicator aggregation, alarm thresholds, and abnormal event reporting)

• Complete heterogeneous computing power access verification with some computing power or AI infrastructure partners

3

2026 Q3

• Support versioned management of models and strategies, enabling canary releases and rapid rollback mechanisms

• Introduce agent session persistence and state recovery capabilities to improve long-term operational stability

• Implement basic resource quotas and priority control to support the parallel operation of multiple projects

• Complete the integration and adaptation of multiple execution environments and multi-chain financial systems

• Extend runtime log and receipt structure for subsequent verification and auditing

4

2026 Q4

• Launch online operation period incentive and settlement module using PAD for resource acquisition and execution settlement

• Incorporate operational quality metrics (availability, stability, error rate) into incentive calculations

• Support medium-scale concurrent execution of stress tests and fault injection drills

• Introduce basic operational governance parameters (scheduling weights, resource thresholds, and rate limiting strategies)

• Develop the first batch of reusable execution configuration and scheduling templates

5

2027 Q1

• Optimize cross-project resource pool management, supporting dynamic scaling and capacity prediction

• Introduce runtime control capabilities: rate limiting, degradation, fallback, and fast recovery paths

• Complete end-to-end execution chain tracing capabilities (agent input, inference, decision-making, execution)

• Improve the efficiency of anomaly detection and problem localization

6

2027 Q2

• Extended state and event mechanisms support the linkage between complex financial states and multi-agent behaviors

• Support scheduling and resource contention control in multi-agent collaboration scenarios

• Introduce finer-grained operation and management parameters and configuration hot update capabilities

• Strengthen deep integration with DeFi protocols, clearing systems, and AI toolchains

7

2027 Q3

• Improve the verification mechanism for execution results and behaviors to enhance verification coverage and credibility

• Introduce execution consistency verification and abnormal behavior identification

• Enhance the system's self-healing capabilities under conditions of node jitter and resource fluctuations

• Promote the structured accumulation and reuse of cross-project operational experience

8

2027 Q4

• Support the long-term stable operation of large-scale decentralized financial systems

• Establish operational reference architectures for different types of DeFi scenarios

• Optimize resource fairness and scheduling stability under multi-party collaboration conditions

9

2028 Q1

• Continuously optimize scheduling algorithms and execution paths to improve overall resource utilization

• Introducing semi-automatic tuning capabilities for operational strategies

10

2028 Q2

• Expanding operational support for new AI models and execution paradigms

• Enhance the system's collaboration and scalability under complex ecological conditions

11

2028 Q3

• Promoting the high modularity and composability of operational capabilities

• Support deployment in a wider range of decentralized finance scenarios

12

2028 Q4 and beyond

• Evolve into a general-purpose runtime infrastructure for decentralized finance

• Support the long-term, verifiable, and auditable operation of intelligent financial systems

• Explore extending operational capabilities to broader on-chain economics and automated financial scenarios