​

Phase 1: Foundation (Q1 2025)

Launch AVM MVP with core execution capabilities.Integrate with leading AI automation platforms.Deploy initial security and monitoring layers.

​

Phase 2: Expansion (Q2 2025)

Add support for multiple programming languages beyond Python.Implement real-time analytics and reporting dashboards.Establish beta partnerships with DeFi and AI automation projects.

​

Phase 3: Decentralization (Q3 2025)

Transition to a decentralized execution network.Introduce tokenized incentives for compute providers.Enable governance through a DAO framework.

​

Phase 4: Scaling (Q4 2025)

Launch full-scale marketing and adoption campaigns.Expand infrastructure for global AI agent networks.Continuously optimize performance and introduce new features.

​

Strategic Development Plan

The initial AVM deployment (v0) will be hosted on our distributed cloud infrastructure. In line with our long-term commitment to decentralization, we will introduce a proprietary VM Solver implementation in future versions. This enhancement will allow stakeholders to contribute computational resources via a peer-to-peer (P2P) network, enabling decentralized processing of complex LLM operations.

Developer Integration

Developers can integrate AVM into their applications using two primary methods:

• High-performance HTTP API: Facilitates direct communication between LLMs and AVM solvers for efficient task execution.
• Comprehensive SDKs: Available for Python and TypeScript, ensuring seamless interaction with AVM’s computational environment.