One memory across AI agents: what it actually takes
The memory built into a coding agent lives inside that vendor's tools. What I tell one agent stays with that agent, and the next one I open in the same project starts from nothing.
3 stories
The memory built into a coding agent lives inside that vendor's tools. What I tell one agent stays with that agent, and the next one I open in the same project starts from nothing.
A customer clicks Place Order. The spinner turns… and turns… then: Request timed out. So they click again. Now you have two orders, two charges, and one angry support ticket. Here's the uncomfortable truth: a timeout tells you nothing about whether the server did the work.
Disclosure: I build Schemity, a desktop ERD tool - this post is from our blog and uses it for the examples. TL;DR: For schema work an AI agent needs the structure, not the rows, so give it a database MCP server that exposes the schema and no SQL tool.
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