Shubhamsaboo/awesome-llm-apps
A curated collection of impressive LLM-powered AI applications featuring RAG, AI Agents, Multi-agent Teams, and open-source models from leading AI providers like OpenAI, Anthropic, and Google Gemini.
Awesome AI Agents › AI Agent Ecosystems
The project "Awesome Multi-Agent Papers" is a curated compilation of significant research papers focused on multi-agent systems. It is maintained by the Swarms team, whose mission is to democratize multi-agent systems to automate the world economy and foster a post-scarcity human civilization. The repository serves as a valuable resource for researchers, developers, and enthusiasts interested in the latest advancements and foundational works in multi-agent collaboration, system design, frameworks, benchmarks, and application-specific multi-agent systems. The collection is organized into categories such as Multi-Agent Collaboration & System Design, Multi-Agent Frameworks & Benchmarks, and Application-Specific Multi-Agent Systems, which include subfields like Software Engineering, Healthcare & Medical, and Data & Machine Learning. Each category lists numerous influential papers with links to their PDFs, covering topics like large language model collaboration, multi-agent platforms, evolutionary algorithms for agent generation, and benchmarks for evaluating multi-agent systems. The repository also highlights the integration of multi-agent systems in various domains, including software development, clinical environments, and data analysis, showcasing the versatility and impact of multi-agent approaches. Additionally, the project promotes community engagement through links to social media, Discord, and the Swarms platform, encouraging collaboration and knowledge sharing among practitioners. Overall, this repository is an essential hub for anyone looking to explore or contribute to the field of multi-agent systems, providing easy access to cutting-edge research and fostering a collaborative community dedicated to advancing this technology.
https://github.com/kyegomez/awesome-multi-agent-papers
A curated collection of impressive LLM-powered AI applications featuring RAG, AI Agents, Multi-agent Teams, and open-source models from leading AI providers like OpenAI, Anthropic, and Google Gemini.
LobeHub is a platform that enables users to find, build, and collaborate with AI agent teammates that evolve with them, facilitating multi-agent collaboration and transforming productivity through AI-driven workspaces.
MetaGPT is a multi-agent AI framework that simulates a software company by assigning GPT-based roles to collaboratively automate software development from natural language requirements.
A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows.
This repository provides best practices and implementations for leveraging Claude AI's agentic engineering features, including subagents, commands, skills, workflows, and memory.
CrewAI is a fast, flexible Python framework for orchestrating autonomous, role-playing AI agents that collaborate to solve complex tasks, offering both high-level simplicity and low-level control for enterprise-grade AI automation.
nanobot is an open-source, lightweight personal AI agent, providing a WebUI, chat channels, tools, memory, and model routing for long-running workflows and automation.
Agentic Awesome Skills is an installable GitHub library providing over 1,900 agentic skills for various AI coding assistants like Claude Code, Cursor, and Gemini CLI.