Bee Agent Framework
Open-source framework for building, deploying, and serving powerful agentic workflows at scale
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Bee Agent Framework, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology — every score is re-derived by the same automated method as an agent's public evidence changes.
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.
Key features and capabilities
- 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