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snow-ai

snow-ai is a TypeScript command-line coding agent for terminal-based programming work, described as compatible with OpenAI, Gemini, Claude and DeepSeek. Its documentation covers model and API configuration, codebase search, sub-agents, hooks, headless conversations, MCP services and asynchronous tasks. The project also identifies Snow App as a separate desktop coding client.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

snow-ai — OpenViST project profile in Coding Agents.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use snow-ai when you want to work with an AI coding agent from a terminal and are prepared to follow its installation and first-time configuration documentation.

Who it is for

  • Developers who want an AI coding agent in a terminal.
  • Users seeking a command-line tool with documented support for multiple model providers.
  • Developers exploring terminal workflows involving codebase search, custom agents or asynchronous tasks.

Documented uses

  • Install and start an AI coding CLI.
  • Configure API settings and select a model, following the separate first-time setup guide.
  • Use documented workflow areas such as codebase search, sub-agents, hooks, headless conversations and async task management.
Before you choose

Requirements & limits

  • The README documents global installation through npm and launching with snow.
  • The project describes compatibility with OpenAI, Gemini, Claude and DeepSeek; API setup and model selection are covered in a separate guide.
  • The feature index documents options such as codebase search, hooks, MCP configuration and asynchronous tasks, but the overview does not explain their detailed behavior.
  • Snow App is identified as a separate desktop client in another repository; this profile concerns the CLI.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install and start the snow-ai CLI

Install the package globally with npm and launch the terminal interface.

Before you start

  • npm, as the documented package installation method.
  • Consult the official installation guide for the project's system requirements.

Steps

  1. Run the command below.

    Documented command
    npm install -g snow-ai

  2. Run snow to start the CLI.

Expected outcome

The snow-ai command-line interface starts in the terminal.

Guide limitations

  • The README points to separate installation and first-time configuration guides; these steps do not configure a model or API.
  • No execution or compatibility test is implied.
Documentation 1 ↗
COMPARE OPTIONS

Compare options for AI coding assistance

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
snow-aiInstall and start an AI coding CLI.CLI
LlmcodeInspect a project's directory structure with `/tree`.CLIThe documented setup requires an API key and supports an API base URL and model setting. The project is open source under Apache-2.0.
Klaat CodeOpen a project directory for terminal-based coding assistance.CLI, ServerThe README provides a global npm installation command and documents browser sign-in with a KlaatAI account. It also identifies the repository as open source under Apache 2.0.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
15 October 2026
Original website title
MayDay-wpf/snow-cli · Official homepage title · retained in its source language
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