Who should use QuickVibeAI?

QuickVibeAI is an open-source project built for developers.

Does QuickVibeAI have a free plan?

Yes — QuickVibeAI is open source under the MIT license and free to use.

What platforms does QuickVibeAI run on?

QuickVibeAI runs on the command line.

Is QuickVibeAI still maintained?

The GitHub repository shows 8 commits in the last 90 days.

What projects are similar to QuickVibeAI?

Similar projects tracked by PulseGate include vibe-collab, vibe-trading-ai, and vibeissue.

Who makes QuickVibeAI?

QuickVibeAI is developed by devnathani16.

How long has QuickVibeAI been around?

QuickVibeAI first shipped in 2026.

Back to the index

QuickVibeAI

Name: QuickVibeAI
Author: devnathani16

PyPIInfrastructure

QuickVibeAI is an open-source, terminal-native AI coding assistant that integrates with multiple AI providers, including OpenRouter and Gemini. It offers code suggestions and assistance directly in the command line, supporting cross-platform workflows for developers. The tool is MIT-licensed and designed for efficient coding.

Open SourceMITCLI

Visit PyPI

Overview

5 features

QuickVibeAI is a Coding AI & assistants project. It focuses on providing AI-powered coding assistance directly in the terminal for developers using multiple AI providers. QuickVibeAI is an open-source project aimed at developers. QuickVibeAI is open source under the MIT license. It ships for the command line.

Behind QuickVibeAI is devnathani16, and it first shipped in 2026. Development happens publicly on GitHub with 8 commits in the last 90 days. Among its 5 catalogued features are AI code suggestions, multi-provider support, and terminal integration.

Summary written by a language model from the project’s public pages.

AI code suggestions
Multi-provider support
Terminal integration
Cross-platform
Command-line interface

Built with & integrations

Framework

FastAPI

AI providers

openaimultiple

Runs on

CLI

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed29 Jun · 09:58 UTC
Listing verified against its public source
Source: PulseGate · Open

Frequently asked questions about QuickVibeAI

What does QuickVibeAI do?: QuickVibeAI focuses on providing AI-powered coding assistance directly in the terminal for developers using multiple AI providers. It is catalogued under Coding AI & assistants on PulseGate.
Who should use QuickVibeAI?: QuickVibeAI is an open-source project built for developers.
Does QuickVibeAI have a free plan?: Yes — QuickVibeAI is open source under the MIT license and free to use.
What platforms does QuickVibeAI run on?: QuickVibeAI runs on the command line.
Is QuickVibeAI still maintained?: The GitHub repository shows 8 commits in the last 90 days.
What projects are similar to QuickVibeAI?: Similar projects tracked by PulseGate include vibe-collab, vibe-trading-ai, and vibeissue.vibe-collab vibe-trading-ai vibeissue
Who makes QuickVibeAI?: QuickVibeAI is developed by devnathani16.
How long has QuickVibeAI been around?: QuickVibeAI first shipped in 2026.

At a glance

Platforms: Cli
Languages: English
Open source: Yes (GitHub)
License: MIT
Built for: developers
Model: Open source
Solves: Providing AI-powered coding assistance directly in the terminal for developers using multiple AI providers.

Registered as

GitHub: devnathani16/QuickVibeAI
PyPI: quickvibeai

Developer

devnathani16

Solo developer

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 0
Last commit: 13 Apr 2026
Commits 90d: 8
Contributors: 1
Authorship: Solo
Default branch: main

Index record

Identity confidence: Low · 64
Indexed: 29 Jun 2026
Lifecycle: Alive
Last seen: 29 Jun 2026

Identity audit (12)

Slug: quickvibeai-pypi-org
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 29 Jun 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://pypi.org/project/quickvibeai

Ship this? Send a correction — no account, and you get a link to follow it.

Similar projects

Closest matches by what these projects do