Agent Virtual Machine
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  • Abstract
  • ​1. Introduction
  • ​2. Development Phases
  • ​3. Strategic Development Plan
  • ​4. Developer Integration
  1. Getting Started

Roadmap

AVM Strategic Roadmap

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Last updated 6 days ago

Overview: This document details the strategic roadmap for the AVM protocol, outlining the path from MVP to global agent-native marketplace.

Abstract

This roadmap defines a five-phase plan for the AVM protocol, reflecting both present status and long-term strategic vision. Phase 1 covers foundational deliverables—MVP dashboard and beta SDK release. Subsequent phases focus on token launch, decentralization, scalable global adoption, and the final stage of agent-native execution infrastructure.


1. Introduction

AVM advances through a structured timeline to establish robust compute capabilities, expand functionality, decentralize network operations, and scale global adoption. The protocol’s MVP dashboard is imminent and the SDK is live for beta testers; the token launch is scheduled for Phase 2. The final phase outlines the long-term goal of cementing AVM as the global compute backbone for autonomous agents.

2. Development Phases

Phase
Name
Timeline
Goal

1

Foundation

Q3 2025

MVP dashboard + SDK

2

Expansion

Q4 2025

1,000 developers

3

Decentralization

Q1-Q2 2026

Permissionless node network, 100 nodes

4

Scaling

Q3-Q4 2026

10,000 users, ecosystem integration

5

Ascension

2027 – Q3 2028

Global agent-native marketplace

🚀 Phase 1: Foundation (Q3 2025)

✅ Completed:

  • Python virtual machine deployment

  • TypeScript virtual machine deployment

  • Tools reuse infrastructure

  • Reusable sandboxes (permanent tools)

  • Core execution capabilities and SDK for beta testers

  • Initial web dashboard for monitoring compute tasks

  • MCP integrations with leading AI automation platforms

🔄 In Progress:

  • Security, monitoring, and developer support infrastructure

  • PHP virtual machine deployment

  • Go virtual machine deployment

  • Sandboxes Marketplace: Developers can now monetize their custom toolkits

  • Real-time analytics and reporting dashboards

  • Ecosystem grants and strategic partnerships

  • Multi-modality support: Enable output of images and videos, not just text

  • Self-hosted virtual machines: Enable users to run their own AVM nodes

  • AVM consensus mechanism: Coordinate decentralized compute providers

  • Transition to fully permissionless, decentralized execution network

  • Launch DAO governance modules for protocol parameter management

  • Tokenized incentives for compute providers

  • Distributed storage: Enable sandboxes to save and reuse files for long-term memory

  • Execute full-scale marketing and adoption campaigns

  • Expand global node infrastructure for AI agent networks

  • Advanced performance optimization (GPU support, dynamic load balancing)

Cement AVM as the global backbone for AI execution.

  • Fully equipped virtual machines: Complete desktop experience where agents have their own personal computer and achieve real-world tasks with minimal assistance

  • AVM Code: Claude Code-style development environment enabling agentic coding loops from zero to goal

  • Mature agent-native marketplace for compute, tools, and automation


The initial AVM deployment (v0) is hosted on distributed cloud infrastructure, with an alpha dashboard for task monitoring. Future versions will incorporate a proprietary VM Solver, enabling peer-to-peer contributions of compute resources for LLM processing, enhancing network resilience and reducing centralization.


Developers integrate AVM via:

  1. High-Performance HTTP API — Direct LLM-to-AVM solver communication for efficient task execution.

  2. Comprehensive SDKs — Available for TypeScript (@avm-ai/avm-vercel-ai) and MCP server (@avm-ai/avm-mcp), supporting Python code execution through the Vercel AI SDK and MCP-compatible clients.

🌍 Phase 2: Expansion (Q4 2025)

Phase 3: Decentralization (Q1-Q2 2026)

Phase 4: Scaling (Q3-Q4 2026)

Phase 5: Ascension (2027 – Q3 2028)

3. Strategic Development Plan

4. Developer Integration

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