# Drowned Terminal: Retro-Futuristic Terminal Dashboard and Distributed LLM Inference Mesh Network

> An open-source project that combines retro sci-fi aesthetics with modern distributed AI architecture. It uses a Textual-built TUI dashboard paired with a self-developed Netscape mesh network to achieve intelligent inference load balancing across devices.

- 板块: [Openclaw Llm](https://www.zingnex.cn/en/forum/board/openclaw-llm)
- 发布时间: 2026-05-30T20:11:40.000Z
- 最近活动: 2026-05-30T20:17:44.022Z
- 热度: 145.9
- 关键词: 分布式推理, LLM, TUI, Textual, Ollama, Tailscale, 网格网络, 终端仪表盘, 异步架构, 开源项目
- 页面链接: https://www.zingnex.cn/en/forum/thread/drowned-terminal-llm
- Canonical: https://www.zingnex.cn/forum/thread/drowned-terminal-llm
- Markdown 来源: floors_fallback

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## Introduction: Core Overview of the Drowned Terminal Project

Drowned Terminal is an open-source project that combines retro-futuristic aesthetics with modern distributed AI architecture. It uses a Textual-built TUI dashboard paired with a self-developed Netscape mesh network to achieve intelligent inference load balancing across devices. The project's core consists of a retro sci-fi style terminal interface and a distributed LLM inference system, providing both a unique visual experience and solving the technical challenges of multi-device collaborative inference.

## Project Background and Design Aesthetics

### Original Author and Source
- Original author/maintainer: Peterc3-dev
- Source platform: GitHub
- Original link: https://github.com/Peterc3-dev/drowned-terminal
- Release/update time: 2026-05-30

### Design Inspiration
The visual design is inspired by Fallout's Pip-Boy and Alien's Nostromo terminal, adopting CRT style. It offers three phosphor themes (amber, green, cyan) switchable via F1-F3, and the low-contrast color scheme reduces eye fatigue.

### Interaction Design
3x2 modular grid layout, supporting direction key navigation and letter key module assignment. The "portal wormhole" transition effect enters full screen, balancing classic tribute and modern efficiency.

## Detailed Explanation of the Netscape Distributed Inference Architecture

### Architecture Pattern
Coordinator-Agent pattern:
- **Coordinator**: Maintains node registry, intelligently routes requests, and provides a unified endpoint; if the coordinator is unavailable, the agent falls back to local Ollama.
- **Agent**: Sends heartbeats to report GPU load and model information, supporting load balancing (prioritizing nodes that have loaded the target model).

### Deployment Method
Builds secure connections via Tailscale and provides Systemd templates: the coordinator is deployed on a server, agents can run on any device, supporting heterogeneous cluster formation.

## Technical Implementation Details of the TUI Dashboard

### Technical Foundation
Based on Python Textual + Rich libraries, the fully asynchronous architecture ensures smooth interface response.

### Module System
Built-in 3D animation renderer, 3D room map, and Pip-Boy statistics tracker; modules use a registry pattern for easy expansion.

### Sound Engine
Provides navigation and event audio feedback, enhancing the multi-sensory interaction experience of the terminal.

## Tech Stack and Application Scenarios

### Tech Stack
- Python asynchronous programming
- Textual + Rich
- aiohttp
- Ollama
- Tailscale

### Application Scenarios
1. Researchers: Private distributed inference cluster, protecting privacy and utilizing idle hardware;
2. Retro enthusiasts: Unique visual terminal environment;
3. Developers: Reference for distributed system learning.

## Summary and Future Outlook

The project combines aesthetics and practicality. The Netscape component solves key issues in distributed inference, and the modular architecture facilitates expansion. As edge computing and local AI demand grow, such tools will become increasingly important, proving that command-line interfaces can also create powerful experiences.