galleonlabs/hypergrok-trading-desk
Grok Bot for Hyperliquid: an open-source 7-agent trading desk with roles, system prompts and 17 skills to research, size, execute and review. Also runs in Claude Code, Cursor, Codex and Gemini CLI.
⚡ Executive Summary & Quick Facts
Authoritative Sourcehypergrok-trading-desk is hypergrok-trading-desk is an open-source project written in Python: Grok Bot for Hyperliquid: an open-source 7-agent trading desk with roles, system prompts and 17 skills to research, size, execute and review. Also runs in Claude Code, Cursor, Codex and Gemini CLI..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), galleonlabs/hypergrok-trading-desk has accumulated 125 GitHub stars and 29 forks. It is written in Python, licensed under MIT, and ranks #20,786 globally. It is actively maintained with the latest commit recorded on Oct 19, 2026.”
| Repository | galleonlabs/hypergrok-trading-desk ↗ |
|---|---|
| Primary Category | agent plugins |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 125 stars · ⑂ 29 forks · #20,786 globally |
| Maintenance | ● Active (Last commit: Oct 19, 2026) · 1 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+Yes, hypergrok-trading-desk is actively maintained. Continuous telemetry recorded the last code commit on Oct 19, 2026 (14 days ago). Supported by 125 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.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#2,712
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
hypergrok-trading-desk gained 10 stars in the last 30 days, about 1 a day, and now has 125. It is about 1 year old and has averaged roughly 125 stars a year. It ranks #2,712 among Python repositories and #20,786 across all languages on GitHubRepo.
Trending Record
13
DAYS ON TRENDING
#16008
BEST RANK
Oct 19, 2026
FIRST APPEARANCE
Active
STATUS TODAY
hypergrok-trading-desk has maintained a continuous presence across global trending indexes, peaking at #16008. Below is the 30-day activity profile:
💡 Overview
hypergrok-trading-desk is an open-source project written in Python: Grok Bot for Hyperliquid: an open-source 7-agent trading desk with roles, system prompts and 17 skills to research, size, execute and review. Also runs in Claude Code, Cursor, Codex and Gemini CLI.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-plugins, agent-skills, ai-agents. 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 hypergrok-trading-desk⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
hypergrok-trading-desk 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 hypergrok-trading-desk.
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 hypergrok-trading-desk using your package manager: `pip install hypergrok-trading-desk`
Initialize your project workspace or configuration file for hypergrok-trading-desk.
Import hypergrok-trading-desk into your codebase or invoke it directly from your terminal.
Execute your test suite or run `hypergrok-trading-desk --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
galleonlabs/hypergrok-trading-desk is currently ranked #20,786 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #20,701 | physicalvision/artisan | Python | ★ 126 | Compare ↗ |
| #20,701 | assetnote/h3fuzz | Go | ★ 126 | Compare ↗ |
| #20,701 | markklab1903d9/CS2-FPS-Optimizer-Performance-Boost-Lag-Fix-Tool-2026 | Python | ★ 126 | Compare ↗ |
| #20,701 | nilbuild/tinyhand | Swift | ★ 126 | Compare ↗ |
| #20,701 | inclusionAI/IDM | Python | ★ 126 | Compare ↗ |
| #20,786 | galleonlabs/hypergrok-trading-desk This Project | Python | ★ 125 | |
| #20,786 | tog/tog | Ruby | ★ 125 | Compare ↗ |
| #20,786 | dokterbob/django-agenda | Python | ★ 125 | Compare ↗ |
| #20,786 | ciren/cilib | Scala | ★ 125 | Compare ↗ |
| #20,786 | tapajos/highrise | Ruby | ★ 125 | Compare ↗ |
| #20,786 | garethr/django-project-templates | Python | ★ 125 | Compare ↗ |
Frequently Asked Questions
What does hypergrok-trading-desk do? +
Grok Bot for Hyperliquid: an open-source 7-agent trading desk with roles, system prompts and 17 skills to research, size, execute and review. Also runs in Claude Code, Cursor, Codex and Gemini CLI.
Is hypergrok-trading-desk actively maintained in 2026? +
Yes, hypergrok-trading-desk is actively maintained. The latest code push was recorded on Oct 19, 2026 (14 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 125 stars and 1 open issues.
What language is hypergrok-trading-desk written in? +
The primary language is Python. Topics include: agent-plugins, agent-skills, ai-agents, ai-trading, claude-code.
How many stars does hypergrok-trading-desk have? +
hypergrok-trading-desk has 125 stars and 29 forks on GitHub.
How does hypergrok-trading-desk rank among GitHub repositories? +
With 125 stars, galleonlabs/hypergrok-trading-desk is ranked #20,786 globally across all repositories tracked on GitHubRepo and #2,712 among Python projects.
What license is hypergrok-trading-desk distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
