[KongchangAI]
ConceptPlugin

Plugin

A dynamically loadable functional extension module that can be independently enabled or disabled. It interacts with the core program through interfaces exposed by the platform, such as APIs, hooks or an event bus, meeting long-tail feature needs while keeping the core minimal.

Timeline (last 90 days)

Sep 30

The plugin mechanism is used to compensate for the inherent limitation that a large model's knowledge base is pre-trained, static, and has a cutoff date—the model cannot answer questions about events after the training cutoff and must call search-type plugins for real-time retrieval.

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Sep 27

Plugins and MCP address the problem of enabling models to call external tools and actually get things done, as the model itself can only generate text.

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