The News
Developers Can Now Script AI Agents That Run Inside Snowflake
On October 13, 2026, Snowflake released the Cortex Agent SDK in public preview for Python and TypeScript. The SDK gives developers programmatic access to Cortex Agents, the company's AI tools that can query databases, generate code, and carry out multi-step tasks on the platform.
In plain terms, Snowflake is letting companies build AI tools on the same system where their data already lives, instead of moving it somewhere else. That is the kind of position a client does not walk away from easily.
Before the SDK, developers reached Cortex Agents through Snowsight or custom API calls. The SDK provides prebuilt libraries that lower the effort to build, schedule, and maintain agent applications from scripts, notebooks, and CI/CD pipelines.
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The Company Behind It
Snowflake Already Has the Data; Now It Wants the Agents
Snowflake is a public technology company that runs a cloud-based data platform where businesses store, query, and share large data sets. It competes directly with Databricks, Google BigQuery, and Amazon Redshift.
The company charges based on compute and storage consumed, not a flat subscription. That model rewards any product that increases the volume of work a customer runs on the platform.
The Cortex Agent SDK replaces the older Cortex Code Agent SDK, which Snowflake said it will no longer develop. Consolidating under one SDK is an effort to make Snowflake the single place where companies both store data and run the AI software that acts on it.
Why This Matters Financially
Every Agent Run Is Another Line on the Meter
Snowflake bills in credits, and AI agent workloads are compute-intensive. Running a single data query costs a predictable amount; running an agent that chains queries, code generation, and search together racks up credits at every step.
Every agent application built on the SDK ties the developer to Snowflake's data layer, compute engine, and governance model. Moving that application to a competing platform means rebuilding the connection to the underlying data, not just swapping an API call.
Databricks, AWS, and Google Cloud all offer agent development tools, but none of them automatically host the customer's existing Snowflake data. Snowflake's position is that the agent should run where the data already sits, which keeps the entire compute bill inside one vendor.
Limits and Uncertainty
The SDK Ships in Preview While Rivals Run in Production
Databricks expanded its Agent Bricks platform at DAIS 2026 with support for third-party agent frameworks including LangGraph and CrewAI. Snowflake's SDK works only with its own Cortex Agents, giving developers less flexibility to mix tools from different providers.
The SDK is still in public preview, and Snowflake's documentation warns developers to expect breaking changes while the underlying API stabilizes. Enterprise teams building production systems typically wait for general availability before committing engineering resources.
The Cortex Agent SDK matters because it shows Snowflake sees the agent runtime, not just the data warehouse, as the product worth defending. The real impact depends on whether developers build production workloads inside Snowflake before Databricks, AWS, and Google Cloud lock them in elsewhere.
Disclosure: This content is for educational and informational purposes only and does not constitute investment advice or recommendations. You should always conduct your own research or consult a qualified financial advisor before making investment decisions.
