Posts tagged with: Multi-Agent
Content related to Multi-Agent
Agent Skills for Context Engineering: Open Source Mastery
Discover the Agent Skills for Context Engineering repository – a comprehensive, MIT‑licensed collection designed to supercharge AI agent systems. Learn about context engineering fundamentals, multi‑agent patterns, memory systems, and more. The guide walks you through installation in Claude Code, showcases real‑world examples, and explains how to contribute. Whether you’re building a personal operating system or a production‑grade evaluation pipeline, this repo gives you the proven skills to manage a model’s limited attention budget efficiently.
DeepTutor: AI‑Powered Personalized Learning Assistant Open‑Source Project
DeepTutor brings cutting‑edge AI tutoring to your fingertips. This open‑source multi‑agent system combines FastAPI, Next.js, and RAG pipelines to deliver instant Q&A, interactive visualization, personalized practice, and research generation. With full Docker support, a CLI, and an intuitive web interface, developers can quickly spin up a personal AI tutor, experiment with embeddings, or contribute new modules. Explore the architecture, installation steps, core features, and how to contribute, and join the growing community of educators and developers shaping the future of AI‑driven learning.
Langroid: Multi-Agent LLM Framework for Python
Discover Langroid, an intuitive and extensible Python framework for building LLM-powered applications. Developed by researchers from CMU and UW-Madison, Langroid simplifies multi-agent programming, allowing developers to create sophisticated AI solutions with ease. Learn how this framework, which eschews other LLM frameworks like LangChain, empowers users to build robust applications using agents, tasks, and a wide array of tools and integrations. A must-explore for anyone interested in advanced LLM development and multi-agent systems.