The Bee Agent Framework is an open-source toolkit designed for creating scalable agent-based workflows. It is designed for developers looking to build complex agentic architectures.
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
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