Databricks Launches Custom Agents For Production
Databricks today launched Agent Bricks Custom Agents, formerly Agent Framework, now generally available to build and deploy governed, serverless AI agents without managing infrastructure. The platform provides templates, prebuilt skills, built-in memory powered by Lakebase, CI/CD integration, and enterprise data connectivity to accelerate prototype-to-production workflows. Developers can use existing models and tools while benefiting from unified governance and a serverless runtime.
Key Points
- 1Offers managed serverless agent platform with templates, CI/CD, and prebuilt skills for rapid deployment
- 2Provides built-in Lakebase memory and enterprise data connectivity to maintain context and consistent governance
- 3Enables developers to iterate locally and deploy production agents without re-architecting or managing infrastructure
Scoring Rationale
Official managed-agent launch meaningfully improves developer productivity and governance, but mainly impacts teams using Databricks platform.
Sources
Public references used for this report.
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