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agent-labs-dev/fastbrowse

A fast browser agent: Jev picks each action from what is on the page, an LLM reads and plans, and every claim in an answer cites a quote from the page.

Rust ◇ agents MIT
★222STARS
⑂29FORKS
!63ISSUES
🏆#18,458GLOBAL RANK
🔥46DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

fastbrowse is fastbrowse is an open-source project written in Python: A fast browser agent: Jev picks each action from what is on the page, an LLM reads and plans, and every claim in an answer cites a quote from the page..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), agent-labs-dev/fastbrowse has accumulated 222 GitHub stars and 29 forks. It is written in Rust, licensed under MIT, and ranks #18,458 globally. It is actively maintained with the latest commit recorded on Nov 11, 2026.”
Repository agent-labs-dev/fastbrowse ↗
Primary Category agents
Language & Stack Rust
Software License MIT
Community Traction ★ 222 stars · ⑂ 29 forks · #18,458 globally
Maintenance ● Active (Last commit: Nov 11, 2026) · 63 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: 93/100 · Grade A+
✅
Is fastbrowse actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, fastbrowse is actively maintained. Continuous telemetry recorded the last code commit on Nov 11, 2026 (1 days ago). Supported by 222 stars and 29 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 11, 2026
1 days since last push
Issue Backlog
63 Open Issues
Healthy Issue Cadence
Community Backing
29 Forks
222 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for agent-labs-dev/fastbrowse
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Momentum

+103

STARS · LAST 30 DAYS

3

PER DAY

#1,745

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+102+103+270
Per day1533
Forks gained+14+15+10

fastbrowse gained 103 stars in the last 30 days, about 3 a day, and now has 222. It is about 1 year old and has averaged roughly 222 stars a year. It ranks #1,745 among Rust repositories and #18,458 across all languages on GitHubRepo.

Trending Record

fastbrowse has maintained a continuous presence across global trending indexes, peaking at #872. Below is the 30-day activity profile:

💡 Overview

fastbrowse is an open-source project written in Python: A fast browser agent: Jev picks each action from what is on the page, an LLM reads and plans, and every claim in an answer cites a quote from the page.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agents, browser-agent, llm. 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 fastbrowse

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

fastbrowse 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 fastbrowse.

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 fastbrowse using your package manager: `pip install fastbrowse`

2

Initialize your project workspace or configuration file for fastbrowse.

3

Import fastbrowse into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 100 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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farion1231/cc-switch ★ 151.2K Rust

A cross-platform desktop All-in-One assistant for Claude Code, Codex, OpenCode,DeepSeek Harness and more. Only official website: ccswitch.io

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C
openai/codex ★ 134.9K Rust

Lightweight coding agent that runs in your terminal

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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

agent-labs-dev/fastbrowse is currently ranked #18,458 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#18,426 unhappychoice/splashboard Rust ★ 223 Compare ↗
#18,426 oxynote/oxynote Go ★ 223 Compare ↗
#18,426 sysprog21/codetrial Rust ★ 223 Compare ↗
#18,426 s4ntrx/Cybersecurity-Threats-Guide Python ★ 223 Compare ↗
#18,426 GabrieleLozupone/kokon TypeScript ★ 223 Compare ↗
#18,458 agent-labs-dev/fastbrowse This Project Rust ★ 222
#18,458 alexyoung/ico JavaScript ★ 222 Compare ↗
#18,458 bdurand/seamless_database_pool Ruby ★ 222 Compare ↗
#18,458 gsf/node-solr JavaScript ★ 222 Compare ↗
#18,458 timwaters/mapwarper Ruby ★ 222 Compare ↗
#18,458 jlhutch/pylru Python ★ 222 Compare ↗
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Frequently Asked Questions

What does fastbrowse do? +

A fast browser agent: Jev picks each action from what is on the page, an LLM reads and plans, and every claim in an answer cites a quote from the page.

Is fastbrowse actively maintained in 2026? +

Yes, fastbrowse is actively maintained. The latest code push was recorded on Nov 11, 2026 (1 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 222 stars and 63 open issues.

What language is fastbrowse written in? +

The primary language is Rust. Topics include: agents, browser-agent, llm, python, web-automation.

How many stars does fastbrowse have? +

fastbrowse has 222 stars and 29 forks on GitHub.

How does fastbrowse rank among GitHub repositories? +

With 222 stars, agent-labs-dev/fastbrowse is ranked #18,458 globally across all repositories tracked on GitHubRepo and #1,745 among Rust projects.

What license is fastbrowse distributed under? +

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

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