MCP memory is a tool surface, not just a database
MCP stands for Model Context Protocol. A database can store notes, but an MCP memory server gives agents a narrow, typed interface for working with those notes. Instead of exposing raw SQL or broad backend access, the server exposes operations like save, get, search, update, pin, delete, recent, and stats.
That tool surface matters because agent memory is operational data. It may contain user preferences, project notes, source summaries, task history, deployment constraints, and debugging context that should be searchable without becoming arbitrary backend access.
The core jobs of MCP memory
- Capture useful context at the moment it is learned.
- Search old context when a new task needs it.
- Keep important context easy to retrieve.
- Retain or retire context according to explicit policy.
- Give operators control over storage, backups, and access.
How Pamie implements it
Pamie runs as a single Go binary or Docker container and exposes an authenticated `/mcp` endpoint. SQLite is the durable source of truth, FTS5 powers keyword search, and optional local vector search can be enabled when semantic retrieval is useful.
Pamie also uses lifecycle tiers such as working, hot, warm, cold, and archive so fresh and important memories can rank higher without making older memory disappear.