Development Roadmap

From Concept to Reality Implementation Path

We have defined a clear 4-phase development plan, each step moving towards Not Only Website, Not Only Data Collection goals.

Milestone Planning

4 Phases, 14 Months Complete Implementation Path

Phase 1: Basic Extension + MCP Enhanced

3 months planning

Goals:

  • RobotJS integration + MCP basics
  • Visual data extraction + MCP resources
  • System-level access + MCP prompts

Deliverables:

  • MCP Server
  • Desktop application adapters
  • Resource system
Breakthrough: Achieve Not Only Website - Support Desktop applications

Phase 2: Mobile Support + MCP Mobile Integration

4 months planning

Goals:

  • Android basic support + MCP mobile tools
  • iOS support + MCP iOS tools
  • Mobile application ecosystem + MCP mobile ecosystem

Deliverables:

  • Mobile adapters
  • Cross-platform tools
  • Mobile prompts
Breakthrough: Achieve true Universal Platform

Phase 3: Game Application Support + MCP Game Integration

3 months planning

Goals:

  • Unity game support + MCP Unity tools
  • Unreal game support + MCP Unreal tools
  • Universal game framework + MCP game ecosystem

Deliverables:

  • Game adapters
  • Engine integration
  • Game prompts
Breakthrough: Cover all application types

Phase 4: AI Agent Ecosystem + Enterprise Features

4 months planning

Goals:

  • AI Agent ecosystem improvement
  • Enterprise features
  • Commercialization preparation

Deliverables:

  • AI Agent marketplace
  • Enterprise version
  • Cloud services
Breakthrough: Achieve Not Only Data Collection - Two-way application control

Core Breakthrough Points

Key breakthroughs for each phase

Not Only Website

From Web automation to full application type support

Before:

Only operate Website + Electron applications

After:

Support Desktop + Mobile + Game + Web all application types

Impact: Application coverage from 20% to 100%

Not Only Data Collection

From one-way data extraction to two-way application control

Before:

Only extract application data, cannot control application behavior

After:

Complete application behavior control + AI Agent direct interaction

Impact: From information tool to application interaction platform

AI Agent Native Integration

Achieve AI Agent native integration through MCP protocol

Before:

AI Agent needs to parse text output, interaction unreliable

After:

AI Agent directly calls MCP tools, interaction reliable

Impact: Establish AI Agent application interaction standard

Technical Evolution Path

Comprehensive upgrades in three dimensions

Application Coverage

Website → Universal Platform

1

OpenCLI: Website + Electron (20% application coverage)

2

OpenAppCLI 1.0: Desktop + Mobile + Game (80% application coverage)

3

OpenAppCLI 2.0: Universal Platform (100% application coverage)

Capability Dimension

Data Collection → Application Control

1

OpenCLI: One-way data extraction

2

OpenAppCLI 1.0: Basic application operations

3

OpenAppCLI 2.0: Complete application behavior control

Interaction Method

CLI Tool → AI Agent Bridge

1

OpenCLI: Human-computer interaction, CLI command line

2

OpenAppCLI 1.0: Program interaction, API interface

3

OpenAppCLI 2.0: AI native interaction, MCP protocol

Timeline Nodes

Key delivery goals

2025 Q4

Phase 1 Complete

MCP Server + Desktop application support

2026 Q1

Phase 2 Complete

Mobile support + Cross-platform tools

2026 Q2

Phase 3 Complete

Game application support + Universal framework

2026 Q3

Phase 4 Complete

AI Agent ecosystem + Enterprise features

Join Our Development

Build AI Automation Future Together

If you're interested in our roadmap, welcome to contribute and build the standardized ecosystem for AI Agent application interaction together.

Contribute Now Contact Us