Star History
Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#737
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 |
frago gained 10 stars in the last 30 days, about 1 a day, and now has 114. It is about 1 year old and has averaged roughly 114 stars a year. It ranks #737 among Python repositories and #6,436 across all languages on GitHubRepo.
Trending Record
5
DAYS ON TRENDING
#2360
BEST RANK
Sep 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
frago has maintained a continuous presence across global trending indexes, peaking at #2360. Below is the 30-day activity profile:
💡 Overview
frago is an open-source project written in Python: Multi-runtime automation infrastructure for AI agents. Native CDP browser control, metadata-driven Recipe system, and persistent Run context management.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, ai-agents, automation. 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 frago⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
frago 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 frago.
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 frago using your package manager: `pip install frago`
Initialize your project workspace or configuration file for frago.
Import frago into your codebase or invoke it directly from your terminal.
Execute your test suite or run `frago --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
tsaijamey/frago is currently ranked #6,436 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #6,409 | john-rocky/coreai-kit | Swift | ★ 115 | Compare ↗ |
| #6,409 | devkitshq/notifkit | TypeScript | ★ 115 | Compare ↗ |
| #6,409 | Nerdy-Technician/JellyGlance | JavaScript | ★ 115 | Compare ↗ |
| #6,409 | davidxu277/alpha-timing | Python | ★ 115 | Compare ↗ |
| #6,409 | DingoOz/llm-visuals | Rust | ★ 115 | Compare ↗ |
| #6,436 | tsaijamey/frago This Project | Python | ★ 114 | |
| #6,436 | vicaya/hypertable | C++ | ★ 114 | Compare ↗ |
| #6,436 | ruby-rdf/sparql-client | Ruby | ★ 114 | Compare ↗ |
| #6,436 | mhroth/jvsthost | Java | ★ 114 | Compare ↗ |
| #6,436 | cheald/scrap | Ruby | ★ 114 | Compare ↗ |
| #6,436 | ALPSCore/ALPSCore | C++ | ★ 114 | Compare ↗ |
Frequently Asked Questions
What does frago do? +
Multi-runtime automation infrastructure for AI agents. Native CDP browser control, metadata-driven Recipe system, and persistent Run context management.
What language is frago written in? +
The primary language is Python. Topics include: ai, ai-agents, automation, browser-automation, cdp.
Is frago actively maintained? +
Yes, the last recorded push was on Sep 24, 2026 with 9 open issues being tracked.
How many stars does frago have? +
frago has 114 stars and 18 forks on GitHub.
How does frago rank among GitHub repositories? +
With 114 stars, tsaijamey/frago is ranked #6,436 globally across all repositories tracked on GitHubRepo and #737 among Python projects.
What license is frago distributed under? +
The repository reports a AGPL-3.0 license. Always verify the repository LICENSE file for legal terms.
