For SaaS Founders
Memory is becoming table stakes for AI products. But building it means a graph DB, a vector store, an extraction pipeline, and a DevOps burden your seed round didn't budget for. Or: one API call and a sprint.
$0 infrastructure · Ship in one sprint · Full export = zero lock-in for your diligence docs
"AI memory" has been on your roadmap for two quarters. Here's why it keeps slipping:
Your CTO scoped it: graph DB + vector store + entity extraction + versioning. "Six weeks, maybe eight." It's never eight.
Managed Neo4j + Pinecone + Redis: $185+/mo before a single user — and someone has to babysit all three at 2 AM.
Every sprint spent on memory plumbing is a sprint not spent on the feature that actually differentiates you.
Meanwhile, your competitor just shipped "remembers your preferences."
Users don't compare architectures. They compare "it remembered me" vs. "it didn't." The second demo loses.
What "memory as a feature" actually costs each way:
| DIY stack | RJ Knowledge Graph | |
|---|---|---|
| Time to ship | 6–10 weeks eng time | One sprint (mostly UI) |
| Monthly infra | $185+ (Neo4j + Pinecone + Redis) | $0–49 total |
| On-call burden | 3 new services to page you | Zero — Cloudflare's problem |
| Entity extraction | Build + tune yourself | Built in (Workers AI) |
| Per-user isolation | Design it, test it, audit it | agent_id namespaces, day one |
| Diligence / exit story | "Custom internal system" | Full export, OpenAPI, no lock-in |
from API key to shipped feature
to start — free tier, no card
exportable — your data, always
Store a memory on every meaningful user action. One POST /api/memory/remember with agent_id = user_id.
Before each AI response, POST /api/memory/recall and inject the results. Your AI now "remembers."
Surface it in UI: "Based on your March conversation…" — that's the changelog entry that drives upgrades.
Pricing that survives your board deck
Free to prototype → $49/mo at launch → $499/mo enterprise volume. Linear, predictable, and roughly the cost of one DevOps hour. Full pricing →
The opposite, usually. Full data export (JSON / GraphML / Cypher), an OpenAPI 3.1 spec, and no proprietary query language means acquirers see a clean, replaceable dependency — far better than an undocumented internal system only one engineer understands.
Set agent_id to your internal user or workspace ID on every store and recall call. Isolation is enforced per namespace on every query — user A can never see user B’s memories.
It runs on Cloudflare’s edge with D1 + Workers AI — the same primitives serving millions of requests daily across Cloudflare’s network. Free tier for prototyping, Enterprise tier for volume; if you outgrow it, export and migrate freely.
Yes — the architecture is standard Cloudflare Pages + D1 + Workers AI. Enterprise arrangements can move the deployment into your own account for full data custody.
Every memory keeps its raw content alongside extracted entities, facts are bitemporal (valid_from / valid_to), and the dashboard lets you inspect and correct the graph. Nothing is silently overwritten.
Free key now, prototype this sprint, in your changelog by the end of the month.
No credit card. Generated on the spot — storing memories in under a minute.
Your API key is ready — copy it now, it's shown once: