Lagent
Overview
A lightweight open-source framework for building large language model (LLM)-based agents.
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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.
Autonomy level
50%
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Some of the use cases of Lagent:
- Developing AI agents utilizing large language models.
- Integrating multiple AI models and tools into cohesive applications.
- Building multi-agent systems with clear and intuitive workflows.
- Enhancing AI applications with tools like Python interpreters, API calls, and web search.
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