How to Build an AI Agent App Where the UI and Agent Share the Same SQL-Backed State Using Agent-Native?

Build an AI Agent App Where the UI and Agent Share the Same SQL-Backed State Using Agent-Native using Agent-Native

This task can be performed using Agent-Native

Build AI-native apps fast: shared state, open-source templates.

Best product for this task

Agent-

Agent-Native is an open-source framework for building agent-native experiences where AI agents and UIs share the same SQL-backed state. Define actions once, reuse them across chat, HTTP, MCP, and coding assistants, and customize production-ready templates for content, analytics, design, and collaboration.

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What to expect from an ideal product

  1. Agent-Native uses a SQL-backed shared state layer so your AI agent and your UI read and write the same data in real time β€” no syncing logic, no duplicate state management, no drift between what the agent sees and what the user sees.
  2. Define an action once in Agent-Native and it becomes available across chat interfaces, HTTP endpoints, MCP, and coding assistants β€” cutting the effort of rebuilding the same logic for every new surface or integration.
  3. Ships with production-ready templates for content, analytics, design, and collaboration use cases, so teams skip the blank-canvas problem and customize from a working foundation instead of architecting from scratch.
  4. Fully open-source, meaning you can inspect the framework, self-host the stack, and avoid vendor lock-in while still building agent-native apps at a speed that closed platforms advertise but rarely deliver.
  5. Designed specifically for the workflow where an AI agent takes actions that immediately reflect in the user-facing UI β€” making Agent-Native a direct fit for teams building tools like AI-powered dashboards, collaborative editors, or autonomous workflow managers where state consistency is non-negotiable.

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