Therefore, we observed developers stuck building infrastructure, not agents. This moment calls for an agent platform for developers.

Building an agent platform that addresses these challenges requires connecting data with AI. After all, agents not only consume data via tools and context, but now also produce lots of data in its output, actions, reasoning traces, and memory – all of which must be governed and analyzed. This unification of data and AI is a feat uniquely positioned for Databricks.

We are beyond excited to announce the next evolution of Agent Bricks as our developer agent platform. What began as an experiment in agent building has expanded into a comprehensive platform for developers to build agents with any model and any harness, access data anywhere, and confidently deploy and control. We have all the building blocks, from secure sandboxes to agent memory to token capacity for developers:Databricks handles the infrastructure while you build impactful agents.

Agent Bricks offers all the frontier proprietary and open-source models in a single platform, natively integrated into our security boundary. Easily flex and test between different LLMs to balance agent behavior with latency and cost. In addition to OpenAI, Anthropic, Gemini, Qwen, we’ve just added support for Kimi. We’re thrilled to also announce a partnership with SpaceX to make the Grok models natively available on Databricks.