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Open-source framework for building, deploying, and serving powerful agentic workflows at scale
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AI Agents Frameworks
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Bee Agent Framework Overview
The Bee Agent Framework is an open-source toolkit designed to create scalable agent-based workflows with various AI models. It offers robust performance with IBM Granite and Llama 3.x models, providing developers with tools to build complex agentic architectures that efficiently manage workflow states and offer production-ready features for real-world deployment.
Bee Agent Framework Key Features
AI agents optimized for Llama 3.1 and Granite 3.0
Custom tool creation in JavaScript/Python
Sandboxed code execution
Multiple memory strategies for token optimization
Workflow serialization for pausing and resuming
Instrumentation for agent visibility
Production-level control with caching and error handling
OpenAI-compatible Assistants API and Python SDK
Chat UI with built-in transparency and user controls
Bee Agent Framework Use Cases
Building complex, scalable AI agent workflows
Developing autonomous software systems for various industries
Creating multi-agent systems for business automation
Implementing AI-driven customer service solutions
Handling intricate data processing tasks
Deploying AI agents for enterprise-level applications
Prototyping and testing AI agent interactions
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