# Agentic AI Needs a New Database Foundation

DevFeed: [Agentic AI Needs a New Database Foundation](<https://devfeed.tech/articles/agentic-ai-needs-a-new-database-foundation-23737.md>)

Original publisher: [Read original article](<https://cockroachlabs.com/blog/agentic-ai-database-architecture>)

Author: David Bressler

Published: 2026-01-07T00:00:00Z

Content type: article

Language: en

Sources: [Cockroach Labs](<https://devfeed.tech/sources/cockroach-labs.md>)

Topics: [Databases](<https://devfeed.tech/topics/databases.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [systems](<https://devfeed.tech/topics/systems.md>)

Tags: [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [ai](<https://devfeed.tech/tags/ai.md>), [concurrency](<https://devfeed.tech/tags/concurrency.md>), [consistency](<https://devfeed.tech/tags/consistency.md>), [database](<https://devfeed.tech/tags/database.md>), [databases](<https://devfeed.tech/tags/databases.md>), [resilience](<https://devfeed.tech/tags/resilience.md>), [scalability](<https://devfeed.tech/tags/scalability.md>)

## AI overview

The article explains why agentic AI systems create new database requirements. Because agents are stateful, highly concurrent, long-running, and distributed across regions, their workloads require strong consistency, serializable transactions, resilient failure handling, scalable write throughput, and data locality.

## Source excerpt

Agentic AI systems represent a big shift for artificial intelligence: from stateless inference to autonomous, long-running software agents that plan, reason, act, observe outcomes, and adapt over time. These agents operate continuously, coordinate with other agents and tools, and maintain evolving state across complex workflows.