BeeAI Framework

The BeeAI Framework is an open-source agent framework that started inside IBM Research and now lives under the Linux Foundation's AI & Data program. Its headline promise is complete feature parity between Python and TypeScript: chat models, memory management, structured outputs, custom tools, multi-agent workflows, and error handling work the same in both languages, so polyglot teams stop maintaining two mental models.

It is aimed squarely at production use — the docs and examples push patterns like requirements control, systematic reasoning, and hardened error handling rather than demo-ware. The roadmap points at watsonx.ai deployment integration and more multi-agent reference architectures.

The honest caveat: it is a younger, smaller ecosystem than LangChain/LangGraph or CrewAI, so you will find fewer Stack Overflow answers and community examples. What you get in return is a cleaner, more deliberate API and an enterprise-flavored governance story. A solid pick if you want agents in both Python and TS without learning two frameworks.

1. Python: pip install beeai-framework; TypeScript: npm install beeai-framework (see the language-specific READMEs).
2. Configure your chat model provider credentials.
3. Build agents with the documented patterns: tools, memory, structured outputs, multi-agent workflows.
4. Run the examples in python/examples or typescript/examples to learn the idioms.