Reusable Markdown memory for AI work

Save expensive AI understanding. Reuse it next time.

Let agents store project analysis, decisions, summaries, and reusable context as searchable Markdown so future tasks spend fewer tokens rediscovering the same facts.

Agent setup

AI analysis saved as reusable Markdown memory

Saved memory object

title + description + Markdown content

title: datamd.cloud architecture analysis
description: API routes, Supabase schema, editor behavior, performance risks

# datamd.cloud architecture analysis

## What this saves
- Project structure
- Important API contracts
- Decisions already made
- Next optimization tasks

## How future agents use it
Search "datamd performance" -> read this memory -> continue.

Store understanding

Agents write structured Markdown after reading a project, codebase, paper, or long conversation.

Find by meaning

Search title and description first, then batch-read only the memories that matter.

Spend fewer tokens

Reuse summaries, decisions, and context instead of reloading the same source material every task.