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LvcidPsyche
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LvcidPsyche/auto-browser

Give your AI agent a real browser — with a human in the loop. Open-source MCP-native browser agent.

Python ◇ ai-agent MIT
★924STARS
⑂154FORKS
!2ISSUES
🏆#9,025GLOBAL RANK
🔥8DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

auto-browser is auto-browser is an open-source project written in Python: Give your AI agent a real browser — with a human in the loop. Open-source MCP-native browser agent..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), LvcidPsyche/auto-browser has accumulated 924 GitHub stars and 154 forks. It is written in Python, licensed under MIT, and ranks #9,025 globally. It is actively maintained with the latest commit recorded on Nov 9, 2026.”
Repository LvcidPsyche/auto-browser ↗
Primary Category ai agent
Language & Stack Python
Software License MIT
Community Traction ★ 924 stars · ⑂ 154 forks · #9,025 globally
Maintenance ● Active (Last commit: Nov 9, 2026) · 2 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 97/100 · Grade A+
✅
Is auto-browser actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, auto-browser is actively maintained. Continuous telemetry recorded the last code commit on Nov 9, 2026 (4 days ago). Supported by 924 stars and 154 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 9, 2026
4 days since last push
Issue Backlog
2 Open Issues
Healthy Issue Cadence
Community Backing
154 Forks
924 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for LvcidPsyche/auto-browser
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Momentum

+23

STARS · LAST 30 DAYS

1

PER DAY

#1,303

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+9+23+90
Per day111
Forks gained+0+3+10

auto-browser gained 23 stars in the last 30 days, about 1 a day, and now has 924. It is about 1 year old and has averaged roughly 924 stars a year. It ranks #1,303 among Python repositories and #9,025 across all languages on GitHubRepo.

Trending Record

auto-browser has maintained a continuous presence across global trending indexes, peaking at #5133. Below is the 30-day activity profile:

💡 Overview

auto-browser is an open-source project written in Python: Give your AI agent a real browser — with a human in the loop. Open-source MCP-native browser agent.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agent, ai-agents, browser-automation. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install auto-browser

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

auto-browser coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with auto-browser.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install auto-browser using your package manager: `pip install auto-browser`

2

Initialize your project workspace or configuration file for auto-browser.

3

Import auto-browser into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `auto-browser --help` to verify successful setup.

👍 Strengths

Active community backing with 915 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

LvcidPsyche/auto-browser is currently ranked #9,025 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#9,015 odpi/egeria Java ★ 925 Compare ↗
#9,015 ConduitPlatform/Conduit TypeScript ★ 925 Compare ↗
#9,015 SeaOfNodes/Simple Java ★ 925 Compare ↗
#9,015 iamaisim/ProjectAirSim C++ ★ 925 Compare ↗
#9,015 jasonwu1994/Gboard-patches Java ★ 925 Compare ↗
#9,025 LvcidPsyche/auto-browser This Project Python ★ 924
#9,025 xboot/xboot C ★ 924 Compare ↗
#9,025 python-social-auth/social-core Python ★ 924 Compare ↗
#9,025 SuRGeoNix/Flyleaf C# ★ 924 Compare ↗
#9,025 SethGammon/Citadel JavaScript ★ 924 Compare ↗
#9,030 palkan/anyway_config Ruby ★ 923 Compare ↗
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Frequently Asked Questions

What does auto-browser do? +

Give your AI agent a real browser — with a human in the loop. Open-source MCP-native browser agent.

Is auto-browser actively maintained in 2026? +

Yes, auto-browser is actively maintained. The latest code push was recorded on Nov 9, 2026 (4 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 924 stars and 2 open issues.

What language is auto-browser written in? +

The primary language is Python. Topics include: ai-agent, ai-agents, browser-automation, claude, docker.

How many stars does auto-browser have? +

auto-browser has 924 stars and 154 forks on GitHub.

How does auto-browser rank among GitHub repositories? +

With 924 stars, LvcidPsyche/auto-browser is ranked #9,025 globally across all repositories tracked on GitHubRepo and #1,303 among Python projects.

What license is auto-browser distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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