When it comes to AI Memory, everyone's arguing "RAG vs. grep" like it's a religious war. It's not. It's just a cost curve. I've gotten this question so many times that I thought I'd just share my thoughts. So here goes:
Vector search wins when your corpus is massive, messy, and unstructured. Thousands of docs, no clean boundaries, meaning matters more than exact words.
Filesystem plus grep wins when your corpus is structured and actually yours. A folder of markdown files you can open, read, and audit line by line. No infra required.
Anthropic already ran this experiment in production. Claude Code dropped its RAG pipeline for plain agentic search (grep, glob, read) and it outperformed the vector pipeline on real work. Not close.
But the benchmark wars are missing the actual point. It was never about picking one. It's about knowing what each layer is for.
Markdown is your source of truth. Portable, human readable, greppable, not locked to one provider. Memory you can actually own and move.
Vector search is an accelerant on top of that truth. A fast index for when the haystack gets too big for exact match to keep up.
Use either one alone and it breaks down:
- Markdown alone stalls at scale and struggles with paraphrasing or fuzzy recall
- Vectors alone turn your memory into a black box you can't read, audit, or export
The next step for memory infrastructure isn't picking a side. It's the filesystem as the ledger and RAG as the index on top of it, so memory stays legible and portable, and still fast when it needs to be.
This is the exact direction we're building with AI Context Flow: markdown as the portable, ownable source of truth, with retrieval layered on top instead of replacing it.
If your memory only exists as embeddings inside someone else's vector DB, that's not memory. That's a lease.
Which team are you on?
MultiDrive
This is a really useful tool! We use Gemini and ChatGPT daily for various tasks, and it often takes time to check what each one says. Thank you for creating this tool, and congratulations on the launch!
AI Context Flow
@tetiana_hryshmanovska happy to provide value :)
What else would you like to see in this extension? We're listening.
MultiDrive
@hira_siddiqui1 Nothing comes to my mind right now. We'll definitely test it!
DearFlow - Proactive AI Assistant
Looks awesome! Is there an api?
AI Context Flow
@benjamin_drury not yet but will be in 6 months.
We are going to launch our MCP servers in ~2 months and then soon after an SDK with a "Sign in with your Context" login mechanism where users can login to any app with the memory bucket of their choice (similar to OAuth protocol)
AI Context Flow
@yehan_xiao would love to know how you find it after using it. We are giving 1 year free subscription to PH launch day supporters!
Product Hunt Wrapped 2025
AI Context Flow
@alexcloudstar thank you!
Swytchcode
This is really awesome idea. Congrats on the product launch!
AI Context Flow
@chilarai thank you, would love for you to use our extension in your day to day!
InboxAgents - Smart Linkedin Inbox
Great work Hira. This is really coming along well.
AI Context Flow
@cam_mcmaster1 thank you!
Clico
AI Context Flow
@alex_tao amazing! would love to get your feedback when you use it. We are also giving 1 year free subscription to PH launch day supporters!