💻The Axom Framework
Axom AI is designed as a modular, layered system that transforms large language models (LLMs) into fully functional, real-world agents. By seamlessly connecting LLMs with live data, external APIs, and decentralized protocols, Axom enables natural voice and text interactions across diverse domains — all within a secure, scalable, and extensible framework.
🔧 Core Layers
Voice-Native Input Layer Built voice-first, Axom AI supports commands via speech or text equally. Whether a user says “Transfer 0.5 ETH to <wallet address>” or types “Find contract.pdf in my files,” the system parses, interprets, and routes each instruction naturally — adapting dynamically to context and the targeted MCP servers.
Context Engine This layer preserves conversational memory and evolving context, enabling multi-step tasks, corrections, and follow-ups without repeated instructions. It ensures interactions flow smoothly and intuitively.
MCP Connector Framework A standardized framework that connects to (MCP) servers. These lightweight, protocol-compliant modules expose everything from personal productivity tools (calendars, emails, file systems) to blockchain-powered functions (smart contracts, token swaps). Axom translates user intent into structured MCP calls and presents responses in clear, actionable form.
Execution Layer (QEDA™) Powered by Axom AI's proprietary tech, QEDA, this execution layer handles secure, high-performance communication with MCP servers. It manages session state, orchestrates complex workflows, supports retries, and coordinates parallel tasks - all while maintaining strict security and data integrity.
🎛️ MCP-QEDA Bridge
A TypeScript implementation that connects Axom AI’s QEDA execution layer with MCP servers. This bridge enables open-source and proprietary models alike to access powerful AI tools with unlimited scope and context.
Bridge: Core component managing tool registration, execution workflows, and security policies.
QEDA Client: Processes natural language commands, determines required tools, and generates structured MCP call schemas.
MCP Client: Maintains local MCP server connections over WebSocket using JSON-RPC 2.0 communication.
Tool Router: Dynamically routes requests to appropriate MCP instances based on tool capabilities and context matching.
🧪 The Axom Playground
The Axom Playground is the user’s interface to experiment, deploy, and interact with any MCP-connected server in real time. From this visual dashboard:
Users can search and activate verified MCP modules - or plug in custom ones.
Voice and text input are both supported for invoking server actions.
Users see live feedback as commands get routed and executed.
It serves as a sandbox and control panel for everything from personal automations to decentralized logic.
Axom transforms the fragmented world of model integrations into a unified experience. It’s the front-end for how humans will command infrastructure in the age of models.
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