Vector-memory stacks bolt background daemons onto a long-lived agent: they embed every write, rerank every read, and run summarizer, curator, and nightly rewrite jobs on a timer, so you pay model-call tokens around the clock even while nobody is using it. Replace the whole stack with small Markdown docs the agent consults before a task and appends to after. You inject one targeted doc instead of k fuzzy chunks, and you spend tokens only when the agent actually learned something.
Replace Your Agent's Vector-Memory Daemons With Plain Markdown It Reads and Updates
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