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Bee Agent Framework

Bee Agent Framework AI Agent
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Overview

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

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.

Some of the use cases of Bee Agent Framework:

  • Developing scalable agent-based workflows with various AI models.
  • Integrating AI agents into existing systems with minimal adjustments.
  • Managing complex agentic workflows with built-in messaging and task coordination.
  • Ensuring secure and efficient code execution within agentic applications.

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