Writing clean, maintainable code is an art that takes years to master. This guide presents a philosophy built on six fundamental principles that, when followed consistently, lead to more robust and maintainable software. We'll explore each principle with practical examples in both Python and Rust, demonstrating both good and bad practices.
The Swarms framework was the first ever production-grade multi-agent orchestration framework. OpenAI has stolen our name, code, and methodology. Everything down from the syntax of the agent structure to the swarm class object was tolen from our codebase:
We plan to seek legal repercussions to pay for the damages done against our name unless openai invests in us.
Our website is swarms.ai and we're pioneering the multi-agent revolution. Share this on all social medias to showcase how OpenAI is stealing and infringing upon their own customers and users.
ClusterOps is an enterprise-grade Python library developed and maintained by the Swarms Team to help you manage and execute agents on specific CPUs and GPUs across clusters. This tool enables advanced CPU and GPU selection, dynamic task allocation, and resource monitoring, making it ideal for high-performance distributed computing environments.
To understand the world economy is to grasp the reality that economics is, at its core, built upon the exchange of value. In this essay, we discuss the bedrock of economic systems and how the exchange of value is the heart of all economic systems.
MedInsight Pro is an AI-driven agent that streamlines the extraction of actionable insights from medical research. Designed for healthcare professionals, researchers, and innovators, it leverages advanced NLP models (like GPT-4) and integrates with leading data sources such as PubMed and Semantic Scholar. This powerful tool reads and summarizes complex medical papers in real-time, identifying breakthrough treatments, clinical trials, and emerging trends to provide concise and relevant insights.
MedInsight Pro saves time, ensures accuracy, and empowers healthcare leaders to make data-driven decisions based on the latest research, all while offering a user-friendly interface for rapid deployment in enterprise environments.
tickr-agent is an enterprise-ready, scalable Python library for building swarms of financial agents that conduct comprehensive stock analysis and produce insights. Powered by yfinance, loguru for logging, and pydantic for data validation, tickr-agent is designed for businesses that need robust financial data processing, multithreading, and seamless integration with AI-powered models (via OpenAI) to derive actionable insights.
With tickr-agent, you can automate the retrieval of stock market data, perform technical analysis (e.g., RSI, moving averages), and integrate insights into AI-driven workflows. This solution is built to handle real-time data processing, analysis, and reporting at an enterprise scale.
CodeGuardian is an intelligent agent designed to automate the generation of production-grade unit tests for your Python code. It not only creates and runs these tests but also monitors them in real-time, providing you with comprehensive summaries of your code health. With CodeGuardian, you can enhance code reliability, maintainability, and accelerate your development workflow.
NewsAgent is an enterprise-grade news aggregation agent designed to fetch, query, and summarize news from multiple sources at scale. Built for enterprises, NewsAgent enables you to automate the process of news monitoring, delivering summarized, relevant, and timely news from across the web.
Features:
⎆ Multi-Article Summarization: Efficiently summarizes multiple articles at once, reducing the noise and delivering concise insights
⎆ Smart Query Crafting: Automatically creates optimized queries using an llm to fetch the most relevant news from multiple sources.
⎆ Customizable Sources: Add or remove specific news sources, tailored to your business needs.
tickr-agent is an enterprise-ready, scalable Python library for building swarms of financial agents that conduct comprehensive stock analysis and produce insights. Powered by yfinance, loguru for logging, and pydantic for data validation, tickr-agent is designed for businesses that need robust financial data processing, multithreading, and seamless integration with AI-powered models (via OpenAI) to derive actionable insights.
Research-Paper-Hive is an intelligent AI-powered application that helps you find and summarize research papers based on your preferences. Whether you're diving into a new research area or looking for papers tailored to specific topics, Research-Paper-Hive uses a swarm of AI agents to streamline your workflow by searching, analyzing, and summarizing relevant research papers for you.