It is a Python framework called Langroid, developed by researchers from Carnegie Mellon University (CMU) and the University of Wisconsin-Madison (UW-Madison), designed to build lightweight, extensible, and intuitive LLM-powered applications. Langroid enables developers to create multi-agent systems where agents, equipped with optional components like LLMs, vector stores, and tools, collaborate to solve problems by exchanging messages. Inspired by the Actor Framework, Langroid simplifies LLM app development without relying on Langchain or other LLM frameworks. It emphasizes ease of setup, flexibility, and a superior developer experience, as evidenced by its adoption in production by companies like Nullify for secure software development. Langroid supports features such as multi-agent collaboration, structured information extraction, document chat (RAG), SQL chat, and compatibility with both OpenAI and local/remote LLMs. It is open-source, welcomes contributions, and offers consulting and sponsorship opportunities. Langroid requires Python 3.11+ and can be installed via pip, with optional dependencies for advanced use cases. Documentation, examples, and community support are available through Discord and GitHub.
Langroid
It is a Python framework called Langroid, developed by researchers from Carnegie Mellon University (CMU) and the University of Wisconsin-Madison (UW-Madison), designed to build lightweight, extensible, and intuitive LLM-powered applications.
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