I kept running into the same problem with AI coding agents.

The agents were getting better, but every new session still felt like starting

from zero.

I would explain the repo again. Then my preferences again. Then the decisions we

already made. Then why we avoided some shortcut. Then the source material I

wanted the agent to use.

After doing that enough times, I started thinking less about "better prompts"

and more about memory.

Not memory as a magic model feature. Not memory hidden inside some hosted black

box. I wanted something boring and inspectable:

raw sources on disk compiled Markdown wiki agent tools that query the wiki

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That became Link .

Link is a local-first Markdown wiki and MCP server for agent memory. The goal is

simple: keep useful context outside the chat window, but still make it visible,

editable, source-backed, and owned by the user.

This is one approach.…