#multi-agent

Discover a Python framework developed by CMU and UW-Madison researchers, designed for LLM applications using multi-agent collaboration. This extensible system allows problem-solving with multi-agent architecture, omitting the need for other LLM frameworks, thereby enhancing flexibility and adaptability in real-world production environments.

Discover how GPT-4 enhances collaboration among AI agents within the GPTeam project. This open-source initiative improves agent productivity and communication through advanced AI technologies. Learn about its architecture, observe agents in action, and test world customization tools. The project also offers integrations with Discord and other platforms, increasing its application flexibility. Join the GPTeam community under the MIT license to contribute to and understand this innovative AI collaboration platform.

Langflow provides a versatile Python-based low-code platform for RAG and multi-agent AI applications. It includes a visual IDE for drag-and-drop workflows, real-time playground testing, and integration with observability tools like LangSmith. The free DataStax cloud service ensures enterprise-level security. Ideal for developers and businesses to publish workflows as APIs or Python applications, offering customizable and scalable AI solutions.

Discover an AI-powered assistant designed to enhance the software development lifecycle. Developed by the Ant Group's CodeFuse team, this open-source project utilizes Multi-Agent coordination, offering tools and libraries for executing complex DevOps tasks. It supports customizable knowledge bases, facilitates code and document analysis, and is compatible with small-scale DevOps models. The solution enables innovative approaches to development and operational issues, with support for both offline model deployment and the OpenAI API.