BeeAI Framework enables the creation of production-ready multi-agent AI systems, supporting both Python and TypeScript developers. It offers flexibility in agent orchestration and seamless integration with various AI models and tools, aiming to simplify the development of complex AI workflows.

How It Works

The framework allows users to define multi-agent systems using "Workflows," which orchestrate agent roles, instructions, and tool usage. It supports a pluggable architecture for integrating diverse LLMs (e.g., Ollama, Groq, OpenAI, watsonx.ai) and tools (e.g., LangChain, custom tools). Key features include configurable memory, state persistence, structured output generation, and an event-driven emitter system for monitoring and error handling.

Quick Start & Requirements

• Python: pip install beeai-framework
• TypeScript: npm install beeai-framework
• Prerequisites: Ollama with granite3.1-dense:8b model downloaded for the provided Python example.
• Resources: Links to Python and TypeScript documentation and starter examples are available.

Highlighted Details

• Supports building custom agent architectures with full flexibility in orchestration.
• Integrates with a wide range of LLM providers and tools, including LangChain.
• Offers production-grade controls like token usage optimization, state persistence, and structured output generation.
• Features an emitter system for tracking agent workflows and generating detailed events for monitoring.

Maintenance & Community

• Active development with recent updates in February 2025 for Python alpha launch and TypeScript backend module.
• Community engagement via Discord.
• Part of the Linux Foundation AI & Data program.

Licensing & Compatibility

• Licensed under Apache 2.0.
• Permissive license suitable for commercial use and integration with closed-source projects.

Limitations & Caveats

The Python library is currently in alpha. Code execution in a sandboxed environment is noted as "coming soon." IBM states they will not be maintaining this code going forward, though it is part of the Linux Foundation AI & Data program.