Open source memory layer so any AI agent can do what Claude.ai and ChatGPT do

LLM Memeory (in general, any implementation) is good in theory.

In practice, as it grows it gets just as messy as not having it.

In the example you have on front page you say “continue working on my project”, but you’re rarely working on just one project, you might want to have 5 or 10 in memory, each one made sense to have at the time.

So now you still have to say, “continue working on the sass project”, sure there’s some context around details, but you pay for it by filling up your llm context , and doing extra mcp calls

Congratulations on the launch!

There is lots of competition in this space, how is your tool different?

Platform memory is locked to one model and one company. Stash brings the same capability to any agent — local, cloud, or custom. MCP server, 28 tools, background consolidation, Apache 2.0.