IBM Launches Bee Agent Framework to Simplify Agent-Based Workflow Deployment [Video]

IBM has launched the Bee Agent Framework, a newly released open-source tool that allows developers to build and deploy agent-based workflows at scale. 

Currently in its alpha stage, the framework supports a wide range of AI models and provides enhanced compatibility with IBM Granite and Llama 3.x models. 

The Bee Agent Framework is designed to assist developers in creating powerful agents with minimal adjustments to existing implementations, particularly as it actively works to optimise for other popular large language models (LLMs).

The framework includes key features for building versatile agents. Its built-in Bee agent, configured for Llama 3.1, is ready to use, though users can also customize their own agents using built-in tools in JavaScript or Python. 

The Bee Agent Framework includes a sandboxed code interpreter, memory management options, workflow serialization, and tools for tracking and debugging agent performance through MLFlow integration. 

Additionally, it features an OpenAI-compatible Assistants API and Python SDK, along with a user-oriented …