Flexible architecture built on four core modules
DiffMem consists of four key modules that form a synergistic system architecture: the Write Intelligence is responsible for analyzing conversations and committing memory updates, the Context Manager integrates querying relevant contexts, the Search Intelligence performs fast retrieval, and the Git Engine handles the underlying version control. This modular design enables functional decoupling and flexible extension.
In a multi-intelligence collaboration scenario, this architecture shows unique value. Different intelligences can update their memories concurrently through Git's branching mechanism, and then resolve conflicts through merge operations. A typical application is in customer service, where the product knowledge base can be maintained by multiple specialized intelligences - technical support intelligences updating fault solutions, product intelligences adding new feature descriptions, and ultimately forming a unified versioned knowledge base.
Modularity also brings development flexibility, e.g., the algorithms of the search module can be replaced or the information extraction strategy of the written intelligences can be adjusted without having to reconfigure the whole system.
This answer comes from the articleDiffMem: a Git-based versioned memory repository for AI intelligencesThe
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