Lagent is an open-source framework developed by InternLM that enables users to efficiently create agents powered by large language models (LLMs). Inspired by PyTorch's design philosophy, Lagent offers a clear and intuitive workflow, allowing users to focus on creating layers and defining message passing between them in a Pythonic manner. The framework supports various LLMs, including API-based models like GPT-3.5/4 and open-source models such as LLaMA 2 and InternLM. Lagent also provides typical tools to augment LLMs, facilitating the development of complex multi-agent applications.

lagent

A lightweight open-source framework for building large language model (LLM)-based agents.

Lagent

CrewAI is a platform designed to facilitate the creation and deployment of multi-agent AI systems, enabling the automation of intricate workflows across various industries. It offers a framework and UI Studio for developing multi-agent automations, supporting both code-based and no-code approaches. Users can deploy their AI 'crews' with tools tailored for different deployment types and monitor their performance in real-time. CrewAI's iterative tools allow for continuous improvement of AI agents, ensuring efficient and high-quality results.

crewai

A platform for building and deploying multi-agent AI systems to automate complex workflows.

AI Agents Tagged with: multi-agent systems

Lagent

CrewAI