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.
Star History
Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#761
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
fastbrowse gained 10 stars in the last 30 days, about 1 a day, and now has 109. It is about 1 year old and has averaged roughly 109 stars a year. It ranks #761 among Python repositories and #6,592 across all languages on GitHubRepo.
Trending Record
5
DAYS ON TRENDING
#947
BEST RANK
Sep 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
fastbrowse has maintained a continuous presence across global trending indexes, peaking at #947. 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
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ 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
Install fastbrowse using your package manager: `pip install fastbrowse`
Initialize your project workspace or configuration file for fastbrowse.
Import fastbrowse into your codebase or invoke it directly from your terminal.
Execute your test suite or run `fastbrowse --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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 #6,592 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #6,578 | airmang/python-hwpx | Python | ★ 110 | Compare ↗ |
| #6,578 | DareDev256/fcp-mcp-server | Python | ★ 110 | Compare ↗ |
| #6,578 | JunWeiUp/Clipy | Swift | ★ 110 | Compare ↗ |
| #6,578 | forefy/reburp | Kotlin | ★ 110 | Compare ↗ |
| #6,578 | libingzheren/Jev-Mem | Python | ★ 110 | Compare ↗ |
| #6,592 | agent-labs-dev/fastbrowse This Project | Python | ★ 109 | |
| #6,592 | telmich/gpm | C | ★ 109 | Compare ↗ |
| #6,592 | sjlombardo/acts_as_network | Ruby | ★ 109 | Compare ↗ |
| #6,592 | robbyrussell/shorturl | Ruby | ★ 109 | Compare ↗ |
| #6,592 | nicksieger/jsonpretty | Go | ★ 109 | Compare ↗ |
| #6,592 | JeromeDevome/GRR | PHP | ★ 109 | Compare ↗ |
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.
What language is fastbrowse written in? +
The primary language is Python. Topics include: agents, browser-agent, llm, python, web-automation.
Is fastbrowse actively maintained? +
Yes, the last recorded push was on Sep 28, 2026 with 18 open issues being tracked.
How many stars does fastbrowse have? +
fastbrowse has 109 stars and 12 forks on GitHub.
How does fastbrowse rank among GitHub repositories? +
With 109 stars, agent-labs-dev/fastbrowse is ranked #6,592 globally across all repositories tracked on GitHubRepo and #761 among Python projects.
What license is fastbrowse distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
