Memory API
Store and search long-term memory over one API instead of wiring retrieval logic into every agent flow separately.
Neuralbase gives your app long-term memory, semantic retrieval, document parsing, usage enforcement, and paid backups in one platform. Ship recall without building the operational layer yourself.
curl -X POST https://api.neuralbase.cloud/v1/memories \
-H "Authorization: Bearer nb_live_..." \
-d '{
"userId": "u_173",
"content": "Prefers short answers"
}'Memory hit
Prefers concise responses
Source: user chat · confidence high
Usage state
340 / 1,000 API calls
Free plan hard-stops at monthly limit
Backups
Daily on Pro and Enterprise
Persistent storage remains on every plan
Works with your stack
What ships in the box
Neuralbase is the memory layer plus the operational surface around it: document flows, quotas, paid backups, and account-level isolation.
Store and search long-term memory over one API instead of wiring retrieval logic into every agent flow separately.
Parse files, inspect extracted output, and decide whether document results should become durable memory later.
Meter API calls, document parses, and stored memories with plan-aware limits, warnings, and rate controls.
Persistent storage exists for every plan. Daily snapshots with retention are reserved for paid accounts.
Built around constraints
The platform has already been forced to care about billing, rate limits, isolation boundaries, persistence, and backup policy. That makes the product sharper than a memory wrapper that only shows the happy path.
This platform is shaped around an actual single-VM deployment, which forces the product to care about quotas, rate limits, storage boundaries, and backups early.
Usage, backup state, restore requests, and plan enforcement are part of the product surface, not hidden side effects in the backend.
Data is no longer sitting in one shared vector collection. Each account writes to its own collection boundary.
Use cases
Carry customer preferences, prior resolutions, and account context into the next reply without replaying every historical message.
Parse files, extract structured text, and keep the important parts searchable for later agent workflows and internal search.
Remember objections, next steps, and stakeholder details across long cycles so the assistant stays grounded between calls.
Combine parsed document context with durable memory to keep working context alive across multi-step research tasks.
Pricing
The pricing model reflects actual resource pressure: API traffic, stored memories, document parsing, rate limits, and paid snapshots.
Free
$0
For first production trials
Validate memory value before paying for higher throughput or scheduled backups.
Pro
$49
Per workspace / month
For customer-facing workloads that need higher throughput and paid operational protection.
Enterprise
Custom
Enterprise
For negotiated limits, procurement review, and platform coordination.
FAQ
Recent work
Get started
Start on the free plan, wire the API into a real workflow, and upgrade when you need higher limits and scheduled backups.