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More about Agent-Native
Agent-Native is an open-source framework for building agent-native applications where AI agents and user interfaces share a single SQL-backed state. Instead of wiring separate bots, APIs, and frontends, you define reusable actions once and invoke them from chat, HTTP endpoints, MCP integrations, A2A flows, and CLI commands. This creates a unified app–agent loop that keeps humans, agents, and sessions perfectly in sync.
Engineers can bring their own database, hosting, and model stack while relying on Agent-Native for identity, observability, tools, skills, and shared actions. Start with a chat-first scaffold, then layer on screens, jobs, and workflows as your agent grows into a full product. Prebuilt templates like Clips, Plans, Design, Content, Slides, and Analytics let you fork production-grade experiences that replace or augment tools such as Loom, Notion, design prototyping suites, slide creators, and product analytics suites.
With Agent-Native you can:
- Define actions once and reuse them across agent, UI, API, and coding assistants
- Persist shared state in SQL so agents can read and update any view or dataset
- Install skills into coding agents like Claude Code, Cursor, or VS Code for visual planning and PR recaps
- Run locally and customize fully open-source templates tailored for content, analytics, design, and more
Agent-Native turns experimental agents into maintainable, product-grade systems that evolve alongside your codebase.
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- How to Build an AI Agent App Where the UI and Agent Share the Same SQL-Backed State Using Agent-Native?
- How to Define Actions Once and Reuse Them Across Chat, HTTP, MCP, and Coding Assistants with Agent-Native?
- How to Customize Open-Source Agent-Native Templates for Content, Analytics, and Collaboration Workflows in Production?
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