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The Bee Agent Framework is an open-source toolkit developed by IBM for constructing, deploying, and managing powerful agentic workflows at scale. It simplifies the development of distributed agent-based systems by providing built-in messaging, task coordination, and integration with common networking protocols. The framework is designed to perform robustly with models like IBM Granite and Llama 3.x, and it supports features such as sandboxed code execution, memory optimization, and traceability. Its modular architecture allows for custom agent behavior, making it scalable for large, distributed networks. The Bee Agent Framework is part of a broader ecosystem that includes tools like Bee UI for visual interaction with agents and Bee Observe for telemetry collection and management.

Bee Agent Framework

bee-agent-framework

An open-source framework for building, deploying, and serving scalable agent-based workflows with various AI models.

LAgent is a lightweight, open-source Python framework designed to facilitate the development of agents powered by large language models (LLMs). It offers a modular architecture that allows users to efficiently build, customize, and deploy LLM-based agents for various applications. The framework provides typical tools to augment LLM capabilities, enabling functionalities such as code execution, data analysis, and predictive modeling. Inspired by the design philosophy of PyTorch, LAgent emphasizes clear workflows and intuitive agent construction, making it accessible for both novice and experienced developers.

LAgent

lagent

An open-source framework for building large language model-based agents with modular components and tool integration.

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Bee Agent Framework

LAgent