Skip to main content

VibeSurf: A powerful browser assistant for vibe surfing

Project description

VibeSurf: A powerful browser assistant for vibe surfing

Discord WarmShao

VibeSurf is an open-source AI agentic browser that revolutionizes browser automation and research.

If you're as excited about open-source AI browsing as I am, give it a star! ⭐

✨ Key Features

  • 🧠 Advanced AI Automation: Beyond browser automation, VibeSurf performs deep research, intelligent crawling, content summarization, and more to exploration.

  • 🚀 Multi-Agent Parallel Processing: Run multiple AI agents simultaneously in different browser tabs, enabling both deep research and wide research with massive efficiency gains.

  • 🥷 Stealth-First Architecture: Uses Chrome DevTools Protocol (CDP) instead of Playwright for superior stealth capabilities, preventing bot detection.

  • 🎨 Seamless Chrome Extension UI: Native browser integration without switching applications, providing an intuitive interface that feels like part of your browser.

  • 🔒 Privacy-First LLM Support: Supports local LLMs (Ollama, etc.) and custom LLM APIs to ensure your browsing data stays private and secure during vibe surfing.

🛠️ Installation

Step 1: Install uv

Install uv from https://docs.astral.sh/uv/getting-started/installation/:

# On macOS and Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

# On Windows
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Step 2: Setup and Install

uv venv --python 3.12
uv pip install vibesurf -U

Step 3: Launch

uv run vibesurf

🗺️ Roadmap

We're building VibeSurf to be your ultimate AI browser companion. Here's what's coming next:

  • Smart Skills System: Add /search for quick information search and /crawl for automatic website data extraction
  • Powerful Coding Agent: Build a comprehensive coding assistant for data processing and analysis directly in your browser
  • Third-Party Integrations: Connect with n8n workflows and other tools to combine browsing with automation
  • Custom Workflow Templates: Create reusable templates for auto-login, data collection, and complex browser automation
  • Smart Interaction Features: Text selection for translation/Q&A, screenshot analysis, and voice reading capabilities
  • Real-Time Conversation & Memory: Add persistent chat functionality with global memory to make VibeSurf truly understand you

🎬 Demo

How to use?

Your browser does not support playing this video!

Dozens of agent running in on browser

Your browser does not support playing this video!

📝 License

Licensed under the Apache License 2.0.

👏 Acknowledgments

VibeSurf builds on top of other awesome open-source projects:

Huge thanks to their creators and contributors!

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

vibesurf-0.1.26.tar.gz (2.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

vibesurf-0.1.26-py3-none-any.whl (2.5 MB view details)

Uploaded Python 3

File details

Details for the file vibesurf-0.1.26.tar.gz.

File metadata

  • Download URL: vibesurf-0.1.26.tar.gz
  • Upload date:
  • Size: 2.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for vibesurf-0.1.26.tar.gz
Algorithm Hash digest
SHA256 9db3e490c4a71cc63510cd1161aadab4c4fbcc37a5ef1a33153af2c406e078c1
MD5 f8e1a58fae980693e00fe9e6c38c2242
BLAKE2b-256 28b7e723c191d7c52877baeda3bbb2af7bee99277e4d74b76a4c120d7ba9405f

See more details on using hashes here.

File details

Details for the file vibesurf-0.1.26-py3-none-any.whl.

File metadata

  • Download URL: vibesurf-0.1.26-py3-none-any.whl
  • Upload date:
  • Size: 2.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for vibesurf-0.1.26-py3-none-any.whl
Algorithm Hash digest
SHA256 7392f7247c0c538827d816afe05a4d793899e08383e1076b2fa94058e852c7a6
MD5 8975082086f6710470550982ae851cf0
BLAKE2b-256 3fba21eed42790da5b3d88e9a930a12c6571c95ea3060be2f2142f5f186788c5

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page