Ask HN: How Valuable Is Plug-and-Play Scoped Memory for AI SaaS Apps?

Hey HN, I’m working on a new tool called Recallio that aims to solve a problem I’ve personally hit while building AI-powered apps: LLMs (like GPT) are great, but they forget everything between sessions unless you custom-build a full memory layer.

We’re testing an API-first service that lets you:

- Scope memory per user, agent, or project - Write + recall data instantly via clean APIs - Set TTLs (auto-expiration) and export your data anytime (no lock-in) - Skip the infrastructure hassle of building your own DB + logic

We’re not trying to be an agent framework—just the memory brain you can easily plug in, so your AI can remember what matters.

I’m curious: - How are you solving memory for your AI agents or SaaS tools? - Do you rely on vector DBs like Pinecone/Faiss, or hack together custom solutions? - What’s missing in current solutions that’s been painful?

We’re in early access mode and would love feedback, ideas, or war stories. Here’s the landing page if curious: [recallio.ai]

Thanks in advance for any thoughts Andrew @ Recallio