Stash: An Open Source Memory Layer Shared Across All Agents

The open source project Stash aims to solve agents' amnesia: providing an independent memory layer so any AI agent can remember users and context the way Claude and ChatGPT do.

Which Gap the Project Fills

The big companies' assistants are all racing on memory features, but those memories are locked inside each product: the preferences you worked out with ChatGPT reset to zero overnight when you switch to another agent. Stash abstracts memory into an independent open source component: storing user preferences, past decisions, and project context, exposing a unified interface that any vendor's agent can hook into to read and write. It effectively demotes "memory" from a product feature to infrastructure, with the data in your own hands and agents swappable at will.

The Difficulties of a Memory Layer

The direction is appealing, but the engineering pitfalls are plenty. What to remember and what to forget is the number-one problem—remember everything and retrieval quality drowns in noise, remember selectively and it requires judgment; memory security is more sensitive still—a store concentrating all preferences and history does far more damage in a leak than a single conversation; and there's the poisoning problem—malicious content written into long-term memory keeps polluting every subsequent interaction. The comments' attitude can be summed up as: this layer will exist eventually, but who wins is hard to say, and the window for an open source solution depends on how fast the big companies make memory a cross-product standard.

via: Hacker News