Databricks Agent Bricks Resources
Build, evaluate and run AI agents on your data: Knowledge Assistant, Supervisor Agent, and code-first agents with the Agent Framework. Release history, milestones, documentation and resources.
Part of AI & Machine Learning.
Documentation
- AI & Machine Learning documentation (AWS)
- AI & Machine Learning documentation (Azure)
- AI & Machine Learning documentation (GCP)
Products
- Artificial Intelligence
- Agent Bricks
- AI Gateway
- AutoML
- Databricks Assistant
- Feature Store
- Machine Learning Runtime
- Build Generative AI
- Lakehouse AI Governance
- Lakehouse Monitoring
- Large Language Models
- ML Council
- Mosaic AI Training
- Retrieval Augmented Generation
- Vector Search
- Managed MLflow
- Model Serving
- No Code ML
Open-source projects
- mlops-stacks — This repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box.
- databricks-ml-examples
- claude-databricks-app-template — A Claude native Databricks App template
- custom-mcp-databricks-app — Create your custom MCP server on Databricks Apps for tools, prompts, and claude slash commands
- agent-monitoring-demo-app — MLFlow 3.0 Agent Monitoring + Databricks Apps + FastAPI
- agentic-customer-support
- agentbricks-utilities
- realtime-rag-agents-databricks-youcom
- custom-mlflow-review-app — Customize the MLflow Review App. Change the UI for your subject matter experts, and deploy on Databricks Apps!
- mlflow-demo
- judge-builder
- dais-2025-genai-hackathon
- dais-2024-llm4good