> For the complete documentation index, see [llms.txt](https://gamepad-2.gitbook.io/gamepad-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://gamepad-2.gitbook.io/gamepad-docs/gamepads-white-paper/7.-roadmap.md).

# 7. Roadmap

{% stepper %}
{% step %}

### 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
  {% endstep %}

{% step %}

### 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
  {% endstep %}

{% step %}

### 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
  {% endstep %}

{% step %}

### 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
  {% endstep %}

{% step %}

### 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
  {% endstep %}

{% step %}

### 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
  {% endstep %}

{% step %}

### 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
  {% endstep %}

{% step %}

### 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
  {% endstep %}

{% step %}

### 2028 Q1

* Continuously optimize scheduling algorithms and execution paths to improve overall resource utilization
* Introducing semi-automatic tuning capabilities for operational strategies
  {% endstep %}

{% step %}

### 2028 Q2

* Expanding operational support for new AI models and execution paradigms
* Enhance the system's collaboration and scalability under complex ecological conditions
  {% endstep %}

{% step %}

### 2028 Q3

* Promoting the high modularity and composability of operational capabilities
* Support deployment in a wider range of decentralized finance scenarios
  {% endstep %}

{% step %}

### 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
  {% endstep %}
  {% endstepper %}


---

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