To reason, act and remember, agentic systems demand: resilience that never lets agents stall, scale that grows with every workflow they spawn, and security that enterprise data requires.
Most databases were optimized for one of these. CockroachDB was built for all three — and has been trusted by Fortune 500 companies with their most critical operational data to prove it. That's what makes it the right foundation for agent memory in production.
Trusted in production by:
Four pillars. One database. Built for production AI.
Seamless scale from first agent to fleet
From first agent to fleet, without re-architecting.
CockroachDB scales horizontally across regions as your agent workloads grow — handling the metadata, embeddings, state, and context that multiply as you move from pilot to production.
Vector support with distributed indexing means semantic search and retrieval stay fast as your data scales, without the performance degradation or reindexing pain that hits single-node vector stores.
Outcome: Go from prototype to global production without migrating data, re-architecting, or paying for capacity you're not using.
Unmatched resilience for agent memory that never goes down
CockroachDB was designed around a single principle: keep running no matter what. Node failures, AZ outages, region-wide incidents — CockroachDB routes around them automatically, with zero data loss and no human intervention required.
This matters acutely for agents. An agent whose memory goes offline doesn't degrade gracefully — it stops.
Outcome: Agent memory that outlasts infrastructure failures — without data loss, without downtime, without an alert.
Global applications and compliance
CockroachDB is globally distributed by design, not by configuration. Deploy agent memory across regions so it's always close to where your agents are running — reducing latency, improving response times, and ensuring consistent performance whether an agent is operating in Frankfurt, Singapore, or São Paulo.
Outcome: Global AI systems that feel local — fast, consistent access to agent memory from anywhere, with full control over where data lives.
Enterprise grade security at every layer
AI agents touch sensitive data: personal information, financial records, health data. CockroachDB was built for exactly these environments.
Geo-partitioning enforces data residency at the database layer. Row-level access control, encryption in transit and at rest, and native enterprise identity integration mean you control exactly which agent can access which data, down to the row.
Every agent interaction runs through the same governance model as your most privileged human operator — identity, authorization, network controls, and full audit logging included. Your legal and security teams won't be the ones blocking the AI roadmap.
Outcome: Deploy agents into regulated industries with confidence — compliance and security handled at the architecture level, not added after the fact..