How you like to work.
Your style, conventions, and recurring preferences.
Persistent context. Plain Markdown.Your agent forgets.
Your agent forgets.
Your memory
shouldn't.
Give your AI agents a place to keep what matters. Project context, preferences, decisions. Written in Markdown. Ready for the next conversation.
Start free. No card needed. Built on an open-source engine.
Website projectMemory storeProject notes
▤ context.md
▤ decisions.md
▤ preferences.md
context.mdThe next conversation
The next conversation
starts here.
# Website redesign
We're building a quieter, faster home
for the things we've made.
## Keep in mind
- Use the existing design tokens.
- Prioritize mobile navigation.
- Explain the tradeoffs before coding.
Saved for next time
You can read it. Your agent can use it. Neither is locked in.
Designed for the context that gets lost between conversations.
Human-readable filesVersioned changesPermissioned workspacesMCP interface
Stop starting
from scratch.
The best prompt is often context you've already written. Keep it in a store your agent can read and update, instead of pasting the same background into another chat.
What you're building.
The constraints and decisions that explain the code.
Why you chose it.
The reasoning future you will want back.
A memory desk
you can actually read.
Open the file tree. Edit the Markdown. Inspect a previous version. Your agent's memory should be something you can understand and shape.
Explore the productInspect
See the notes your agent has available.
Refine
Correct stale details and make the useful parts clearer.
Take it with you
Download Markdown without a proprietary export format.
A few things
worth knowing.
Clear answers before you start.
What is MarkdownMem?
MarkdownMem is a hosted memory service for AI agents. It stores Markdown notes in permissioned workspaces and memory stores, with a browser editor, an API, and a Model Context Protocol (MCP) interface.
Does my agent remember everything automatically?
No. An agent must be connected and instructed to read and save useful context. MarkdownMem provides durable storage and access controls; your workflow decides what belongs in memory.
Is this a vector database?
No. MarkdownMem is built around explicit files, paths, and versioned edits. It is useful when you want to inspect and organize context directly.
Can I self-host the engine?
Yes. The Agent Filetree Memory engine is open source. MarkdownMem adds hosting, identity, a dedicated product interface, and commercial account management.
Can I use it with more than one agent?
Yes. Authorized clients can use the same store. You can also keep different stores for separate projects or assistants. Access is checked on every operation.