🤖 AI Summary
Baserow 2.0 turns the open-source no-code database into a unified AI-powered data platform by adding an AI assistant (Kuma), a visual Automations Builder (beta), upgraded AI fields, workspace search, and 2FA. Kuma can inspect and edit your workspace—creating tables, views and formulas on command—while automations let you wire triggers → actions (including AI actions and LLM calls) into reusable workflows. Key workflow features include router nodes for conditional branching, formulas and automation variables to pass data between steps, test-run and History logs for debugging, and task dependency propagation to keep schedules consistent. Examples: auto-summarize incoming support tickets and assign them, create project-management schemas from prompts, or generate follow-ups and dynamic content via AI fields.
For the AI/ML community this matters because Baserow 2.0 is open-source and self-hostable, letting teams choose AI providers and models for privacy, compliance, or experimentation while embedding LLMs directly into data ops and low-code automation. It lowers the barrier to building, iterating and operationalizing AI agents and data-driven workflows without custom engineering, and provides reproducible, auditable automation logs and test tooling. The release lays groundwork for richer integrations and custom AI actions, making Baserow a practical platform for prototyping and running AI-driven applications, agents, and data pipelines in production-like environments.
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