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deltavixglobal/deltabox

Enterprise orchestration engine for Agentic AI. Instantly deploy highly-scalable, headless visual sandboxes for full computer automation.

4 stars
1 forks
momentum ▲ 10.0
created 2026-08-07
on radar since 2026-08-09
star trend 3 → 4 since 2026-08-09
agentic-aiautomationdata-extractiondocker-swarmmcpmodel-context-protocolrpasandbox
View on GitHub ↗Homepage ↗

About deltabox

Orchestration Engine for Agentic AI A self-hosted, highly scalable graphical environment orchestration platform designed specifically to give AI Agents a "Body".

Overview • The Solution • Offerings • Architecture • Installation • API

Large Language Models (LLMs) and Agentic AI have evolved to act as intelligent "Brains", capable of complex reasoning and task planning. However, they lack a dedicated "Body" to execute graphical, real-world interactions.

DeltaBox bridges this gap by providing Full Computer Automation. It is an enterprise-grade orchestration engine that instantly spins up isolated, containerized Linux desktop environments. Whether you are running highly intelligent, autonomous agents or simple, rule-based "dumb" bots, DeltaBox gives them a complete sandbox to operate in. Through the native Delta Control Protocol and Model Context Protocol (MCP), your AI agents can visually perceive the entire screen using OS-level Accessibility Trees (AT-SPI2) and physically interact with any application—from web browsers to desktop terminals—using human-like mouse and keyboard movements.

The Problem: Modern AI agents are computationally brilliant but physically constrained. When engineers attempt to give AI access to software, they are forced to build rigid, application-specific API integrations or rely on brittle, DOM-based web automation frameworks. These methods fail when target software lacks an API, changes its underlying code structure, or deploys anti-automation defenses.

From the project README.

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