The symptom is not just a bigger prompt
When agents rely only on the current context window, every useful note competes with source code, tool output, instructions, and the task itself. Eventually the prompt becomes expensive to read, easy to contradict, and difficult for the agent to prioritize.
The better pattern is to keep short task-critical context in the prompt and store durable context in a memory service. The agent can retrieve decisions, constraints, user preferences, previous debugging notes, and project facts only when they matter.
What belongs in MCP memory?
How Pamie helps
Pamie exposes memory through MCP tools, so an agent can save and search notes through the same tool protocol it already uses. The storage is local SQLite, the search layer uses FTS5 with metadata filters, and lifecycle tiers keep fresh notes prominent without deleting older context by default.
This turns "paste the whole project notebook" into "search for the memory that matches this task." The result is less prompt bloat and more repeatable recall across agent sessions.