When you add the additional codebase memory, that will also add all those mcp tools to each round-trip to the llm model. Do you still see improvements and less filling up if your context? Just curious how it works out; I can imagine that a text based memory that explains the architecture of the codebase would help as well. Not sure about the difference if using a graph to store the code context?
@FaceDeer @eicker @floofloof @fonix232 @naeap
When you add the additional codebase memory, that will also add all those mcp tools to each round-trip to the llm model. Do you still see improvements and less filling up if your context? Just curious how it works out; I can imagine that a text based memory that explains the architecture of the codebase would help as well. Not sure about the difference if using a graph to store the code context?