[WIP] feat: memory store

[supreme-gg-gg]

This is work in progress and meant for community feedback only. For description see #1256. I documented the changes and limitations of the design here and will be updated as more changes are made.

[dimetron]

Hi @supreme-gg-gg

• Do you plan to add GenerateMemories func to do LLM based extraction ?
• How I can configure default InMemoryMemoryService, VertexAiMemoryBankService options ?

[supreme-gg-gg]

• Do you plan to add GenerateMemories func to do LLM based extraction ?

Yea there is a LLM based extraction step here:

kagent/python/packages/kagent-adk/src/kagent/adk/_memory_service.py

Line 358 in 7c1409b

async def _summarize_session_content_async(

However there isn't a "consolidation" step which means before inserting memory directly after extraction, find relevant entries in the db, show them to another LLM and ask it to update / add these entries, this is commonly done in e.g. Vertex AI memory bank. I marked that in the limitations section but that will be more complicated to do.

• How I can configure default InMemoryMemoryService, VertexAiMemoryBankService options ?

With this PR if you enable memory on declarative agents you only use the kagent memory store, for those two options you can use BYO for now. But I'm working on refactoring the interface for extending to other memory stores I'll also think about if we can allow things like Vertex memory service.