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Documentation

Welcome to the official documentation for the Universal Tensor Flow (UTF) Protocol. This manual covers the installation, configuration, and deployment of UTF Nodes across distributed networks.

The UTF Protocol is designed to replace static TCP/IP request-response models with a fluid, state-dependent neural exchange. Before proceeding, ensure you have read the Whitepaper.

1. Installation

The UTF Runtime Environment (URE) can be installed on Linux, macOS, and Windows subsystems. We recommend a Linux kernel 5.4+ for optimal synapse latency.

Standard Install (cURL)

$ curl -s https://get.utfbit.org/release/latest | sh
$ utf --version

Building from Source

If you require custom quantization parameters, build from the source:

$ git clone https://github.com/utfbit/core.git
$ cd core
$ make build --arch=neuromorphic

2. System Requirements

Component	Minimum	Recommended
CPU	2 Cores (x86/ARM)	8 Cores (Neural Engine)
RAM	512 MB	4 GB (for Master Nodes)
Storage	10 GB SSD	NVMe dedicated
Network	10 Mbps	1 Gbps Fiber

3. Configuration

After installation, you must configure your node identity. The configuration file is located at /etc/utf/node.yaml.

⚠️ WARNING: Do not share your private key (seed_phrase). Anyone with this key can overwrite your node's neural weights.

Example Configuration

network:
  mode: "listener" # Options: listener, broadcaster, trainer
  port: 8088
  encryption: "quantum-safe-v2"

identity:
  alias: "My_First_Node"
  region: "eu-west-1"

quantization:
  precision: "1.58bit"
  fallback: false

4. CLI Reference

The Command Line Interface is the primary method of interaction with the UTF Cortex.

`utf awaken`

Initializes the background daemon and connects to the nearest swarm peer.

`utf synapse`

Opens a direct channel to another node. Target can be an IP or a UTF Hash.

`utf logs --trace`

Displays real-time packet inspection. Useful for debugging rejected weights.