Observed arrival · 2026-08-24
lumberroom: one memory for every AI tool
A self-hosted MCP memory server that gives multiple AI clients one shared store, filtered by policies you define.
Field notes
lumberroom separates three kinds of stored context: fuzzy-searchable memories, canonical registry facts, and policy grants. Its example policy gives user:me private access, keeps global facts at open, and marks credentials as sealed; a second credential receives fewer rows and cannot read history or write registry data. The page also describes embedding on write and a seven-surface MCP arrangement, though those capabilities remain stated by the project rather than independently verified here.
Observed signals
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Editorial observations of this landing page, not a rating.
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