zev

Ochiq manbalardan

Terminal buyruqlarini eslab qolishga yordam beruvchi oddiy CLI vosita

Mashina tarjimasi · Asl matnni koʻrsatish

A simple CLI tool to help you remember terminal commands

AI vositaKategoriya: AI vositalariOpen sourcemaʼlumot tekshirilgan: 16-okt, 2026

Sharh

  • cli
  • llm

Oʻrnatish

Buyruqlar faqat koʻrsatiladi, marketpleys ularni bajarmaydi. Rasmiy hujjatlar bilan solishtiring.
  • Til paketlari reyestripythonOchiq manbalardanpaket manifestidan — reyestrda chop etilgani tekshirilmagan
    pipx install zev

    Tekshirilmagan: oʻrnatishdan oldin reyestrdagi paket aynan shu loyihaga tegishli ekanini tekshiring.

    pypi.org/project/zev/ ↗
  • Manbadan yigʻishOchiq manbalardankatalog metamaʼlumotlaridan

    Manbadan yigʻish: tekshirilgan yigʻish retsepti yoʻq — repozitoriy koʻrsatmalariga amal qiling.

    github.com/dtnewman/zev ↗

Moslik

«Nomaʼlum» dalil topilmaganini bildiradi, mahsulot mos emasligini emas.
PlatformaHolatArxitekturaDalilIshonchlilik
WindowsNomaʼlum———
macOSNomaʼlum———
LinuxNomaʼlum———
Web browserNomaʼlum———
Server / self-hostedNomaʼlum———
Container (OCI)Nomaʼlum———
PythonMos—paket manifesti: pyproject.toml name0.60

Relizlar

tekshirilgan: 30-okt, 2026
Manbada relizlar topilmadi.

Sifat profili

algoritm quality-v1.0 · baholangan 16-okt, 2026
Sifat bahosi68
Xavf bahosi0
Ishonchlilik 1.00
Sifat bahosi va xavf bahosi — turli koʻrsatkichlar. Yuqori sifat xavfsizlikni kafolatlamaydi.

Baho tarkibi

Qoʻllab-quvvatlash · 2012
last activity 120 days ago
Hujjatlar · 1515
README 3775 chars, description present
Foydalanishga tayyorlik · 159
install instructions: yes; releases: no
Metamaʼlumotlar · 108
3/4 of description, homepage, license, topics
Relizlar · 102
0 release(s)
Kategoriya aniqligi · 105
classifier confidence 0.5
Ommaboplik · 107
720 stars (log-dampened, 10k = max)
Litsenziya aniqligi · 55
SPDX MIT
Hamjamiyat · 55
issues enabled, 47 forks

Litsenziya

MIT
Litsenziya maʼlumrepozitoriy xostingi maʼlumotlariga koʻra

Bu katalog siyosati holati, yuridik xulosa emas.

Manbalar

github.com/dtnewman/zevAsosiy★ 720 yulduzfaollik: 17-iyn, 2026Asosiy repozitoriy · Ishonchlilik 1.00

Sharhlar

Sharh yozish uchun kiring

Hali sharhlar yoʻq.

Muqobillar

README

dtnewman/zev dan · litsenziya MIT · yuklangan 30-okt, 2026

Zev 🔍

[PyPI version] [License: MIT]

Zev helps you remember (or discover) terminal commands using natural language.

[Description]

🔧 Installation

Homebrew (macOS)

brew tap dtnewman/zev
brew trust dtnewman/zev
brew install zev

pipx (linux)

pipx install zev
  • Note: This project runs on top of LLM APIs like OpenAI, Google's Gemini, or Ollama.

📦 Dependencies

For clipboard functionality (copying and pasting) to work properly, you may need to install:

  • On Linux: xclip or xsel (for X11) or wl-clipboard (for Wayland)
  • On macOS: No additional dependencies needed
  • On Windows: No additional dependencies needed

🎮 Usage

Option 1: Interactive Mode

zev

Option 2: Direct Query

zev '<what you want to do>'

📝 Examples

# Find running processes
zev 'show all running python processes'

# File operations
zev 'find all .py files modified in the last 24 hours'

# System information
zev 'show disk usage for current directory'

# Network commands
zev 'check if google.com is reachable'

# Git operations
zev 'show uncommitted changes in git'

🛡️ Safety Considerations

⚠️ Commands are generated by LLMs. While the tool attempts to flag dangerous commands, it may not always do so. Use caution.

[Example of dangerous command warning]

⚙️ Settings

Supported LLM Providers:

  • OpenAI
  • Google Gemini
  • Ollama
  • Azure OpenAI

You can update your API keys and provider settings by running:

zev --setup

OpenAI

To use OpenAI, you need an OpenAI account and a subscription. You can create an API key on this page.

Google Gemini (Free)

To use Google's Gemini models, you need a Google AI Studio account. You can create a Gemini API key in Google AI Studio.

🐪 Using with Ollama

You can use Zev with Ollama as an alternative to hosted providers, which lets you run all commands locally. To set this up:

  1. Install and start Ollama with a model of your choice

  2. Run zev --setup and put in the proper settings. For example:

? Pick your LLM provider: Ollama
? Enter the Ollama URL: http://localhost:11434/v1
? Enter the model to use (e.g. llama3.2): llama3.2

Azure OpenAI

To use Azure OpenAI, you’ll need access to an Azure OpenAI resource in your Azure subscription.

  1. Create a deployment of the model you want to use (e.g., gpt-5.4, gpt-5.4-mini etc.).

  2. Install required Azure depedencies with pipx install zev[azure].

  3. Run zev --setup and put in the proper settings. For example:

    ? Pick your LLM provider: Azure OpenAI
    ? Azure OpenAI account name (e.g. my-openai-resource): my-openai-resource
    ? Azure OpenAI API key (leave blank to use Entra ID / keyless auth):
    ? Azure OpenAI deployment name (e.g. gpt-5.4, gpt-5.4-mini, etc): gpt-5.4-mini
    ? Azure OpenAI API version: 2025-03-01-preview
    

    Note: Model version must be 2024-08-06 or newer.
    API version must be 2024-08-01-preview or newer.

Note that to switch backends, you can re-run zev --setup again at any time.

🤝 Contributing

Contributions are welcome! See CONTRIBUTING.md for details.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

Repozitoriyni ochish ↗