agent-first

Tech Optimizer
May 13, 2026
Databricks has introduced Native Lakehouse Sync, currently in public preview, which enables direct replication of data from Lakebase Postgres into Unity Catalog managed tables, simplifying data transfer without traditional pipeline complexities. This feature operates natively within Lakebase, utilizing its Write-Ahead-Log (WAL) and requiring minimal setup time. It does not negatively impact Postgres performance or incur additional costs, and schema changes are automatically propagated. Native Lakehouse Sync supports agent-first development by scaling down when idle and integrating monitoring functions. Data transferred to Unity Catalog is immediately accessible for AI-native analytics and benefits from unified governance features. Every data operation is captured as SCD Type 2 history by default, facilitating compliance and audit processes. The setup of Lakebase and activation of sync is quick, allowing existing and future tables to be available in Unity Catalog within a minute.
Tech Optimizer
April 28, 2026
Constructive has released agentic-db, an open-source Postgres database aimed at improving AI agents with features like persistent memory, structured knowledge, and hybrid retrieval. This database allows for efficient searching, filtering, and ranking of information, addressing inefficiencies associated with traditional markdown file storage. Key features of agentic-db include long-term memory, conversation tracking, a versioned registry for skills and tools, rules and policies for governance, task orchestration, and runtime observability. It is delivered as a single installable Postgres schema, indexed for multiple retrieval modes, and supports integration with various AI assistants through generated Agent Skills and CLIs. agentic-db is available under the MIT license for local use, with a cloud offering in development for secure, scalable solutions. Developers can access it on npm and GitHub.
AppWizard
March 30, 2026
Google has introduced early beta features for Android aimed at enhancing task-centric capabilities through an "agent-first" operating system. The key component is AppFunctions, a Jetpack API that allows developers to expose self-describing capabilities within their applications for seamless interaction with AI agents while prioritizing user privacy and performance by executing tasks on-device. AppFunctions operates similarly to backend capabilities declared via MCP cloud servers but runs locally on the device. Additionally, a UI automation platform has been introduced to assist users in performing complex tasks without requiring developer input. This platform allows users to complete tasks like placing pizza orders or coordinating rideshares through the Gemini Assistant. Privacy and user control are emphasized, with all interactions designed for on-device execution and mandatory confirmations for sensitive tasks. Currently, these features are in early beta and available exclusively on the Galaxy S26 series, with plans for broader deployment in Android 17.
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