Langroid's core design philosophy is to harness the power of the Large Language Model (LLM) through multi-intelligent agent programming. The framework allows developers to create multiple agents and equip them with LLMs, vector databases, and tools. These intelligences collaborate through a message-passing mechanism and work together to solve complex problems. The design focuses on three key features:
- intuition: Adoption of Python's native syntax reduces the learning curve
- lightweighting: no dependency on third-party frameworks such as LangChain
- scalability: Supports almost all types of LLMs and allows adding functionality through modular design
This multi-intelligent body architecture is particularly suitable for application scenarios that require distributed decision making or role division.
This answer comes from the articleLangroid: Easily Navigating Large Language Models with Multi-Intelligent Body ProgrammingThe