databricks-agents
Mosaic AI Agent Framework SDK
Decision gist · record as of 2026-08-14
Yes, if you have an active Databricks account or Community Edition access and need to build agents within that platform. No, if you need a standalone agent framework or do not have a Databricks agreement in place—the proprietary license explicitly restricts use to Databricks Platform Services and is not transferable to other contexts. Verify your Databricks terms of service before installing.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10+.
- Use is restricted to Databricks Platform Services under the DB license agreement; standalone use outside that context is not permitted.
- Low install friction with a pure Python wheel.
License · maintenance · safety
Databricks Proprietary License (unclear) — Licensed under Databricks Proprietary License with unclear treatment. Use is restricted to connection with Databricks Platform Services under a separate agreement; the license terminates if that agreement ends or is breached. Not suitable for standalone or off-platform use.
last release 2026-06-02 (73 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 8,213,510 downloads/mo, #1,648 on PyPI
Alternatives
Verify before relying
pip install databricks-agents
from databricks_agents import Agent
# Requires active Databricks workspace connection and agreement to DB license- What specific agent capabilities or frameworks are included in this SDK beyond integration with Databricks services.
- Whether this package can be used with Databricks Community Edition or only paid tiers.
- Documentation and examples availability for getting started with agent development.
What it is and what it does
Databricks-agents is the Mosaic AI Agent Framework SDK, a Python library for constructing and deploying agents within the Databricks ecosystem. It integrates with the Databricks platform and LLM services, providing abstractions and utilities for agent development. The package depends on databricks-sdk for platform connectivity, mlflow-skinny for experiment tracking, and standard data-science libraries like pandas, numpy, and pydantic for data handling and validation.
This is a platform-specific tool: it is licensed exclusively for use in connection with Databricks Platform Services under a proprietary agreement. The license explicitly restricts use to that context and terminates if the underlying Databricks agreement ends or is breached. It is not a general-purpose agent framework and cannot be used independently of a Databricks subscription or Community Edition account.
Use it for
- Build autonomous agents that interact with Databricks data and compute resources within a workspace.
- Integrate LLM-powered workflows with Databricks MLflow for experiment tracking and model management.
- Deploy agents that leverage Databricks SQL, Delta Lake, and other platform services as part of agent logic.
- Develop multi-step agent workflows that coordinate with Databricks infrastructure and governance.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you have an active Databricks account or Community Edition access and need to build agents within that platform.
No, if you need a standalone agent framework or do not have a Databricks agreement in place—the proprietary license explicitly restricts use to Databricks Platform Services and is not transferable to other contexts. Verify your Databricks terms of service before installing.
Install
databricks-agents on PyPI
Before you install
Low install friction with a pure Python wheel. Actively maintained as of 73 days since last release. Requires Python 3.10 or later and pulls in 15 runtime dependencies including databricks-sdk, mlflow-skinny, and common data-science libraries.
Requires Python 3.10+. Use is restricted to Databricks Platform Services under the DB license agreement; standalone use outside that context is not permitted.
License in practice
Licensed under Databricks Proprietary License with unclear treatment. Use is restricted to connection with Databricks Platform Services under a separate agreement; the license terminates if that agreement ends or is breached. Not suitable for standalone or off-platform use.
Quickstart
pip install databricks-agents
from databricks_agents import Agent
# Requires active Databricks workspace connection and agreement to DB licenseVerify before relying
- What specific agent capabilities or frameworks are included in this SDK beyond integration with Databricks services.
- Whether this package can be used with Databricks Community Edition or only paid tiers.
- Documentation and examples availability for getting started with agent development.
Package facts
| License | Databricks Proprietary License unclear |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 15 packagesdataclasses-jsondatabricks-sdkgoogleapis-common-protosnumpypandasjinja2mlflow-skinnytenacitytiktokentqdmurllib3pydanticwheneverboto3botocore |
| Maintenance | Actively maintained 73 days since the last release |
| First released | |
| Downloads | 8,213,510 / month, #1,648 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 3 - AlphaLicense :: Other/Proprietary LicenseProgramming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPy |
Evidence: databricks_agents-1.11.0-py3-none-any.whl
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See also appdynamics · databricks-feature-engineering · databricks-ai-search · databricks-ai-bridge · databricks-feature-store · databricks-langchain · databricks-vectorsearch · databricks-dlt · apache-airflow-providers-databricks · unitycatalog-ai