DATABASES Signal 531
MCP Memory server adds persistent agent memory using OKF and SQLite FTS5
MCP Memory is a Model Context Protocol server that gives AI agents persistent, long-term memory using OKF v0.2 formatting and SQLite FTS5 indexing for sub-20ms lookups.
AI agents currently lose context between sessions, forcing users to re-establish preferences and project state each time. MCP Memory provides a standardized, queryable persistence layer that lets agents recall and build on prior work. The dual-layer approach keeps memory both machine-queryable via SQLite and human-browseable on disk.
Written by elseif from the cluster below · every claim links back to a sourceThe three things worth knowing
MCP Memory stores agent state in OKF v0.2 Markdown with YAML frontmatter, supporting keys, tags, namespaces, and lifecycle metadata like status and stale_after.
A local SQLite instance with FTS5 provides sub-20ms key lookups and instant keyword searches across stored memories.
The server exposes MCP tools for storing, retrieving, searching, and checkpointing memories, with namespace isolation for contextual separation.
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