You have explained your tech stack to your coding agent four times this month. You mentioned your preferred approach to a problem in January, and your agent has no idea it ever happened.

You corrected a decision last week and the old version is still surfacing. You set up context at the start of every session because there is nowhere for it to go at the end.

This is not a model problem, as GPT-4, Claude, and Gemini all have the same limitations. The model is stateless. They all have inbuilt memory, and still every session starts from zero unless you have the infrastructure to persist what matters and surface it at the right moment. That sophisticated memory infrastructure is what most developers do not have.

VEKTOR Slipstream v1.6.3 is a local-first memory SDK for AI agents. This release adds the layer most memory systems skip: not just storing what you tell it, but managing what should still be there months later: curation.

What you actually get