Mosaic AI Agent Framework
Overview
A suite of tools by Databricks for building, deploying, and evaluating high-quality AI agents and RAG applications.
The Mosaic AI Agent Framework, developed by Databricks, is a comprehensive suite of tools designed to assist developers in creating, deploying, and assessing production-quality AI agents and Retrieval Augmented Generation (RAG) applications. It integrates seamlessly with Databricks' Data Intelligence Platform, offering features such as human feedback integration, comprehensive evaluation metrics, and end-to-end development workflows. This framework addresses common challenges in generative AI development, enabling rapid iteration and deployment of high-quality applications.
Product overview
Capabilities, pricing and fit
The former Mosaic AI Agent Framework destination now presents Databricks Agent Bricks as a control plane for governing, managing, monitoring, and observing enterprise agents.
Information as of July 30, 2026
What it can do
- Agent application development
Databricks Agent Bricks provides governance, management, monitoring, and observability across enterprise AI agents.[1]
Where it fits best
- Operating and supervising multiple enterprise agents from a common control plane.[1]
Important considerations
- The current destination is branded Agent Bricks rather than Mosaic AI Agent Framework.[1]
Sources (1)
- Agent Bricks | DatabricksOfficial site · checked 2026-07-30
Autonomy level
73/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
Comparisons
Custom Comparisons
Some of the use cases of Mosaic AI Agent Framework:
- Developers seeking to build and deploy AI agents with robust evaluation metrics.
- Organizations aiming to implement Retrieval Augmented Generation applications.
- Teams requiring integrated tools for rapid iteration and deployment of AI solutions.
- Stakeholders interested in leveraging human feedback for AI application improvement.
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Pricing model:
Code access:
Popularity level: 72%
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