Search vectors, traverse the graph, and scan recent history in a single call - one internally consistent answer, not three systems stitched together.
Agent memory & context platform
Every kind of agent memory - in one query.
Execution logs, vector recall, and reasoning graphs live in one store per agent - not a vector database bolted to a separate graph. So you commit a whole reasoning step atomically, query across all of it at once, and replay what your agent knew at any moment.
- Single region
- Multi-region geography
- Global
No credit card required · Cancel anytime
One store. Always in sync.
Most agent-memory tools bolt a vector database onto a separate graph. One store for all of it - built for enterprises, consistent at any scale - is what makes these four guarantees possible at once.
Commit a reasoning step's log, embeddings, and graph edges together. The instant it lands, every part is readable - no sync lag between stores.
Replay your agent's complete memory - logs, vectors, and graph together - exactly as it was at any past moment.
Every kind of memory sits behind a single tenant-isolation boundary. One thing to secure, one thing to audit.
Everything your agent's memory needs
Relational, graph, and vector in a single ACID store that spans the globe.
Query across all memory at once
Semantic recall, graph reasoning, and recent history in one request - fused into a single ranked, consistent result instead of app-side glue across separate stores.
Atomic writes, zero sync lag
Write a step's log, embeddings, and graph edges in one transaction. Read-your-writes across every memory type - no eventual-consistency gaps between systems.
Time-travel any moment
Read an agent's full memory exactly as it was at any past instant - logs, vectors, and graph together - for debugging, audit, and reproducibility.
Atomic erasure
Delete an agent and everything it remembered vanishes in a single operation - returning a receipt of exactly what was removed.
Pinned where your agents run
Each agent's memory is pinned to its home region and served from the nearest data plane, so reads and writes stay ultra-low-latency - in a single region, a whole geography, or the entire globe.
API & SDK first
Spawn agents, write memory, and run retrieval through a clean API and typed SDKs - drop Jennah into your agent framework in an afternoon.
Simple, scalable pricing
Start free for 14 days, no credit card required. Every plan includes storage and a monthly query allowance - add more storage anytime at a flat per-GB rate.
Pro
$99/mo
25 GB storage included · then $0.50/GB
1M queries / mo included
For teams launching agents in a single region.
- Single region of your choice
- Vector search & in-database inference
- Unlimited projects
- Up to 100 active agents
- Priority support
No credit card required
Scale
$299/mo
60 GB storage included · then $0.50/GB
5M queries / mo included
For teams outgrowing Pro in a single region.
- Everything in Pro
- Up to 500 active agents
- Higher throughput limits
- Priority support
Team
$999/mo
150 GB storage included · then $0.75/GB
20M queries / mo included
For teams that need regional redundancy.
- Everything in Scale
- Multi-region within one geography (US, EU, or Asia)
- Higher agent & throughput limits
- SSO
- Priority support with faster response SLAs
Enterprise
Custom
Custom storage · volume pricing
Custom query volume
For global-scale, regulated deployments.
- Everything in Team
- Global, cross-geography multi-region
- Dedicated regional instances
- Custom data residency
- SSO & audit logging
- SLA & dedicated support
A query is a vector search or graph traversal; traversals and cross-modal queries count by depth. Generous fair-use limits apply during early access. Prices cover compute and storage. AI inference - embeddings and model calls - is billed separately based on usage.
Talk to us
Start your free trial or ask us anything - we usually reply within one business day.
Prefer email? Reach us at info@nightblue.io.