QuantaForze Documentation

Explore guides, architecture blueprints, API references, and SDKs for building autonomous intelligent infrastructure.

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Platform

AxioVital OS

Clinical hardware OS, EHR system synchronization, ICU patient telemetry, and HIPAA privacy rules.

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AI Agent

Autonomous Agent

Natural language execution loops, voice computing harness, and zero-trust trajectory guardrails.

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Core Reasoning

Intelligence Layer

Multimodal AI models, Google Gemini 3.6 Flash reasoning, and vector graph knowledge retrieval.

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Developer SDK

Connect & CLI SDK

@quantaforze/core TypeScript SDK, terminal CLI tools, and P2P device mesh networking.

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Documentation Getting Started Developer Quickstart

QuantaForze Developer Quickstart & SDK Setup

SDK v2.4 Last updated: August 2026 5 min read

Welcome to the QuantaForze developer documentation. This guide walks you through setting up the QuantaForze CLI keyboard-first terminal harness and integrating the @quantaforze/core TypeScript SDK into your autonomous execution workflows.

Architecture Note
QuantaForze autonomous agents execute inside sandboxed execution harnesses with explicit zero-trust authorization policies. High-impact trajectories require human verification by default.

1. Installation

Install the QuantaForze command-line tools and core SDK packages globally or into your local project environment using your package manager of choice:

# Install CLI and SDK globally
npm install -g @quantaforze/cli @quantaforze/core

# Verify installation
quantaforze --version

# Initialize an agentic workspace template
quantaforze init --template autonomous-loop

2. Command Line CLI Harness

The QuantaForze CLI provides keyboard-first execution, real-time telemetry streaming, and interactive trajectory debugging directly in your terminal:

  • quantaforze run "prompt" — Launch a 6-stage autonomous execution loop across your local codebase and tools.
  • quantaforze status — Inspect active background worker pools, token consumption, and model latencies.
  • quantaforze verify — Execute automated test suites and trajectory validation checks before approving changes.
Security Requirement
Ensure your local QUANTA_API_KEY environment variable is exported or configured in quanta.config.json prior to initiating automated production runs.

3. TypeScript SDK Integration

Integrate the @quantaforze/core package to build custom autonomous agents, connect custom tools, and handle streaming events programmatically:

import { QuantaAgentEngine, WorkspaceHarness } from '@quantaforze/core';

// 1. Initialize Workspace Harness
const harness = new WorkspaceHarness({
  workspacePath: process.cwd(),
  maxParallelWorkers: 4,
  verificationCommand: 'npm test'
});

// 2. Instantiate Quanta AI Agent Engine
const agent = new QuantaAgentEngine({
  model: 'gemini-3.6-flash',
  harness: harness,
  zeroTrustMode: 'strict'
});

// 3. Execute Objective
const trajectory = await agent.executeGoal({
  prompt: 'Integrate health record encryption into AxioVital clinical pipeline',
  requireApproval: true
});

console.log('Execution Trajectory Status:', trajectory.success);
Pro Tip
Pass maxParallelWorkers: 8 in high-capacity server environments to accelerate multi-file code refactoring and test verification loops.

4. Zero-Trust Security & Safety

QuantaForze implements bank-grade privacy and zero-trust authorization controls across all execution layers:

  • Role-Based Trajectory Scoping: Restrict agent workspace mutations to specified directory boundaries.
  • Hardware Encryption: AxioVital OS stores clinical health data with hardware-level AES-256 GCM encryption satisfying HIPAA requirements.
  • Immutable Audit Trails: Every agent decision, command invocation, and file diff is logged to structured audit trails.