Distributed Intelligent Body Collaboration Mechanisms
The revolution of PraisonAI lies in its distributed intelligence network design. The PraisonAIAgents module built into the framework supports the creation of clusters of intelligences with a clear division of labor, for example, in the research center scenario, research intelligences are in charge of information collection, summarizing intelligences are in charge of knowledge distillation, and callback intelligences ensure that the process is closed-loop.
The key technological breakthroughs are reflected in three aspects: 1) adopting TCP/IP-like communication protocol between intelligences, supporting structured packet exchange; 2) built-in load balancing algorithm, which can dynamically allocate the resources of intelligences according to the complexity of the task; and 3) equipped with a shared memory pool, which realizes the hybrid storage of short-term memory (Redis cache) and long-term memory (vector database). Actual tests show that when dealing with financial data analysis tasks, the multi-intelligent body system improves efficiency by more than 3 times compared to single-intelligent body solutions.
The architecture is particularly suitable for knowledge work scenarios that require multi-dimensional processing, such as legal document review where three specialized intelligences can be deployed at the same time: clause parsing, case retrieval, and risk assessment.
This answer comes from the articlePraisonAI: A Low-Code Multi-Intelligent Body Framework to Simplify Automation Solutions for Complex TasksThe
