Multi-Intelligent Body Collaboration Mechanisms and Examples
PocketFlow is available throughadd_node()cap (a poem)connect()method to realize data flow between intelligences:
flow.add_node("agent1", lambda x: "智能体1说：你好")
flow.add_node("agent2", lambda x: f"智能体2回答：{x}，你也好")
flow.connect("agent1", "agent2")The mechanism is characterized:
- Each intelligence corresponds to a functional node
- Connection lines define data flow and task order
- Supports any topology such as chain/star/mesh etc.
Typical application scenarios include:
- Dialogue system (quiz relay)
- Distributed task processing (result aggregation)
- Multi-model synergy (e.g. LLM + image model)
This answer comes from the articlePocketFlow: A Minimalist Framework for AI Application Development in 100 Lines of CodeThe
May not be reproduced without permission:AI productivity tools " How does PocketFlow enable multi-intelligence collaboration? Please provide an example
