EL Viyugam is an open-source platform designed to help users manage and optimize their workflows across multiple AI models such as Claude, ChatGPT, Gemini, and future open-source LLMs.
The platform allows users to schedule prompts, monitor model availability, track usage limits, and manage AI workflows from a unified dashboard. Instead of manually waiting for cooldowns or switching between platforms, users can queue tasks and let the system intelligently manage execution when models become available again.
EL Viyugam aims to improve productivity, reduce workflow interruptions, and provide better visibility into AI usage, availability, and performance across providers.
- Unified dashboard for AI model monitoring
- Prompt scheduling and queue system
- AI usage and availability tracking
- Multi-model workflow management
- Execution history and analytics
- Future recommendation system for model selection
We welcome contributions to this project.
Before contributing, please read the guidelines below carefully.
-
Getting Started And Setup Guide
Steps to set up the project locally and start contributing -
Issue Guidelines
Guidelines for working on issues, reporting bugs, suggesting features, and creating issues. -
Commit Guidelines
Standard commit message format and contribution commit rules -
Pull Request Guidelines
Requirements and checklist before submitting pull requests -
Code Standards
Coding conventions, structure, and development best practices