Agent Bricks
Recent items mentioning Agent Bricks across the Databricks ecosystem — releases, news, videos, and community Q&A. Updated hourly.
Databricks recently showcased Agent Bricks as a key component for building adaptive multi-agent systems, including an AI Security Governance Hub that transforms static playbooks into dynamic solutions 2. Agent Bricks, often combined with AI/BI Genie and Unity Catalog, enables multi-agent orchestration for automating document activation workflows, improving efficiency and governance 9. A "Pilot to Production Series" highlights its application across various industries like Retail 8, Healthcare & Life Sciences 4, and Manufacturing 3, with a partner blog further detailing its revolutionary impact on enterprise data 7.
Generated daily from the 9 most recent items mentioning Agent Bricks. Click any [N] to jump to the source.
Genie code or AI Dev kit?
Hey everyone — I’m planning to build a quick demo using Agent Bricks with a lightweight frontend through Databricks Apps. For development, would you recommend using Genie Code or AI Dev Kit? Curious which one people have found better for rapidly building and iterating on Databricks-native AI applications.
TutorialsHow to Build an AI Security Governance Hub with Agent Bricks
Databricks Agent Bricks enables building an AI Security Governance Hub by transforming static security playbooks into adaptive multi-agent systems. The video demonstrates combining a knowledge assistant for unstructured documents and a Genie space for structured data into a supervisor agent, then details how to tune and monitor these agents for improved performance and data privacy.
Agent Bricks | A Pilot to Production Series - Manufacturing
Agent Bricks | A Pilot to Production Series - Healthcare & Life Sciences
NewsDatabricks in 3 minutes. The unified data and AI platform, explained.
Databricks unifies diverse data sources into a single data lake, providing a governed platform for analytics and AI. It offers capabilities like fine-grained access control, natural language querying with AI, and company-wide intelligent agents.
Show HN: Recursant – service mesh for governing AI agents
Hello, I have just released Recursant to the public. I have been working on it for a while. It is a control plane for governing AI agents across stacks. It provides full observability, guardrails, and control on the network level by routing all traffic through a side car. Problem statement: many large, regulated enterprises (think banks, telcos) have one engineering team on LangGraph, another on CrewAI, marketing on AgentForce, and data teams on Databricks Agent Bricks. They need their agents to talk to each other with consistent policy enforcement, one audit trail, and a single set of guardrails, yet allowing different functions to run on their own stacks. Recursant solves that problem using the service mesh pattern Recursant has two components: a registry and the mesh . The registry contains all live agents. The mesh uses sidecars to route traffic and enforce on the network layer. Aim is for Recursant to provide a real-time EU AI Act Annex IV compliance, so it is not generated from static documents. This saves time and effort for large enterprises subject to the requirement. Linmitations: - Recursant currently plugs in to CrewAI, Langgraph, and n8n . The aim is to support proprietary platforms such as ServiceNow and AgentForce as much as psosible. - The Recursant SDK still needs work to support as many agents as possible - I would also like to provide support for some of the 'personal agent' platforms such as OpenClaw, NanoClaw, and Hermes - Only tested on k8s, not public cloud - Documentation is sparse and needs to be developed. I hope this project is useful to some of you. --- top comments --- [goodra7174] clawdlinux.org building the Kubernetes-native runtime that AI agents call to provision their own secure execution environments — the missing infrastructure layer for every enterprise that can’t send agent data to the cloud #Ycombinator #buildinpublic #startups
[PARTNER BLOG] Revolutionizing Enterprise Data with Databricks Agent Bricks: Tale of Two Industries
Agent Bricks | A Pilot to Production Series - Retail
How to transform document activation workflows with Genie and Agent Bricks
Databricks shipped a solution combining AI/BI Genie, Agent Bricks, and Unity Catalog to automate document activation workflows. This enables multi-agent orchestration for extracting, processing, and activating data from diverse documents, improving efficiency and governance.
NewsDatabricks Apps vs Model Serving: Authentication, Cost, and Performance Compared
Databricks Apps are now the recommended first choice for deploying agents due to their flexibility in handling full-stack applications with multiple components, offering faster iteration and local testing compared to Model Serving. Model Serving remains suitable for use cases prioritizing high QPS, governance features like AI Gateway, inference tables, and guardrails, or when scaling to zero is acceptable for cost optimization.
NewsTurbo-Charge your Agents with instant MCP in Databricks
The video demonstrates how to use Model Context Protocol (MCP) in Databricks to give AI agents "superpowers" by enabling them to interact with various tools and data sources. It shows how to easily set up MCP servers within Databricks to connect agents to Unity Catalog functions, vector search, external APIs, and even marketplace MCP services, all without extensive coding.
EventsDAIS25 Keynote Day 2 Sizzle
Databricks announced a free edition of its platform, allowing users to access a slice of Databricks forever without a credit card. The company also showcased Agent Bricks for building production-ready AI agents and Databricks Apps for secure data intelligence applications.
TutorialsBuild a Databricks Knowledge Assistant in less than 10 steps! with Agent Bricks | Advancing AI
The video demonstrates building a Databricks knowledge assistant using Agent Bricks, a no-code platform for creating agentic systems. It shows how to upload company policy PDFs to Unity Catalog, configure a knowledge assistant to answer questions based on these documents, and deploy it as a Streamlit chatbot application.
Events[Demo] Introducing Agent Bricks: Auto-Optimized Agents Using Your Data
Agent Bricks demonstrates an auto-optimized agent that uses company data to generate a comprehensive launch report for a new product. The agent autonomously queries different internal agents (e.g., marketing, R&D, BizOps) to gather information on market trends, existing recipes, development timelines, costs, and more, culminating in a CEO-ready report.
