ZDX AI

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On-Device AI · MCP · Tools · Context Engine

ZDX AI

Full control over your AI runtime.

ZDX AI combines local inference, cloud AI providers, and a programmable tool system into a single runtime. Control how your AI thinks, what it sees, and how it executes — all on your own terms.

On-Device AIMCP ServerTool ExecutionContext Engine
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On-Device AI Runtime

Run AI models locally on Windows and Linux with full control over execution, performance, and privacy.

Local InferenceGPU/CPUOffline CapablePrivate

Cloud AI Integration

Connect to leading AI providers including OpenAI, Anthropic, Google Gemini, and xAI when you need more power.

OpenAIAnthropicGeminixAIAPI Routing

Hybrid Execution

Switch between local and cloud models dynamically based on performance, cost, or workload.

FallbackLoad BalancingCost Control

Custom MCP Server

Karma: mediumAlign: 50

Run and configure your own MCP server for tool execution, orchestration, and structured AI interactions.

Tooling System

Karma: mediumAlign: 50

Extend AI capabilities with real tools — APIs, scripts, and integrations — executed through controlled pipelines.

Document Ingestion

Karma: mediumAlign: 50

Ingest and process documents locally to provide contextual grounding for AI responses.

Context & Memory Engine

Mini Context Model (~80MB)

Lightweight local model used to sort, score, and prioritize context before passing to the main model.

KV Cache Optimization

Efficient context reuse using KV caching to reduce latency and improve response performance.

Context Scoring

Dynamic ranking of relevant data to ensure high-signal inputs reach the model.

On-Device Training

  • On-device fine-tuning (Windows / Linux)
  • Local dataset control
  • No forced cloud training
  • User-controlled model updates

Supported AI Providers

OpenAIAnthropicGoogle GeminixAI

Bring your own API keys and switch providers at any time.

Build and run AI your way

Local, cloud, or hybrid — fully under your control.