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How to read and edit agent memory as plain markdown files with AI Memory

Open the project's memory wiki in any text editor or Obsidian and correct it by hand.

Who it is forA developer who wants to audit, correct, or back up what their agents have learned about a project.

The problemAgent memory is often stored in opaque databases, so it is hard to inspect or fix when it is wrong.

The outcomeThe developer reads, greps, and edits ordinary .md files that hold the project's memory, and the change is picked up by the index.

What you need first

  • A Linux or macOS machine (native Windows is experimental; WSL2 is supported)
  • At least one supported coding agent CLI installed, such as Claude Code or Codex
  • A terminal with curl and sh available

Steps

  1. Run curl -fsSL https://github.com/akitaonrails/ai-memory/releases/latest/download/install.sh | sh
  2. Run ai-memory setup
  3. Locate the git-backed wiki of markdown pages for your project
  4. Open the folder in Obsidian or any editor, correct a page, and save it

Prompt for your agent

Using the ai-memory repo (github.com/akitaonrails/ai-memory), locate the markdown wiki for the project at <project-path>. Expected output: a list of .md page files that hold the project memory. Verify by opening one page and confirming its content matches a recent session summary.

Caveat. The README says the database is a derived index, so edits to pages are the real source of truth, but the README does not say how the index refreshes after a manual edit.

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