Build for AI agents without building a second product for users.
Bring your own LLM. Deploy anywhere.
Actions are the building blocks of an Agent-Native app.
Define functionality once, then use it from your UI, agent chat, HTTP API, MCP, A2A, or CLI.
Everything users and AI agents need to work together, already wired into one application.
Give users familiar screens for browsing, editing, and reviewing work.
Let users delegate work, ask questions, and review results without leaving the app.
The agent knows what users are viewing, selecting, and editing.
Users and agents read and update the same source of truth.
Give agents reusable expertise and persistent context.
Run agent work automatically on schedules or application events.
Delegate work to specialist agents within the app or across apps.
Sign-in, user accounts, and organization membership are built in.
Control who can view, comment, edit, or manage every resource.
Bring your LLM, database, tools, and infrastructure, Agent-Native is open source TypeScript, so your application stays yours.
Agentic apps that understand your work, take action, and collaborate with you. Build your own or try one of these open-source apps.
Records your screen, meetings, and voice notes so agents can understand what happened and take action.
Turns prompts into interactive designs that follow your design system and improve with agent feedback.
Creates on-brand presentations from prompts or existing slides, which an agent can build, edit, and refine.
Connects your data so an agent can answer questions in plain language and turn results into charts and dashboards.
Brings your Google Calendars together so an agent can find time, schedule or move events, and manage bookings.
A keyboard-first inbox where an agent prioritizes mail, drafts replies, summarizes threads, and follows up.
Gives agents shared brand guidelines, images and videos to create and choose on-brand media across apps.
Lets an agent work in your documents to draft in your voice, create interactive content, and publish to your site.
Create one application for users and AI agents. Bring your own LLM and deploy anywhere.
Build for AI agents without building a second product for users.
Bring your own LLM. Deploy anywhere.
Actions are the building blocks of an Agent-Native app.
Define functionality once, then use it from your UI, agent chat, HTTP API, MCP, A2A, or CLI.
Everything users and AI agents need to work together, already wired into one application.
Give users familiar screens for browsing, editing, and reviewing work.
Let users delegate work, ask questions, and review results without leaving the app.
The agent knows what users are viewing, selecting, and editing.
Users and agents read and update the same source of truth.
Give agents reusable expertise and persistent context.
Run agent work automatically on schedules or application events.
Delegate work to specialist agents within the app or across apps.
Sign-in, user accounts, and organization membership are built in.
Control who can view, comment, edit, or manage every resource.
Bring your LLM, database, tools, and infrastructure, Agent-Native is open source TypeScript, so your application stays yours.
Agentic apps that understand your work, take action, and collaborate with you. Build your own or try one of these open-source apps.
Records your screen, meetings, and voice notes so agents can understand what happened and take action.
Turns prompts into interactive designs that follow your design system and improve with agent feedback.
Creates on-brand presentations from prompts or existing slides, which an agent can build, edit, and refine.
Connects your data so an agent can answer questions in plain language and turn results into charts and dashboards.
Brings your Google Calendars together so an agent can find time, schedule or move events, and manage bookings.
A keyboard-first inbox where an agent prioritizes mail, drafts replies, summarizes threads, and follows up.
Gives agents shared brand guidelines, images and videos to create and choose on-brand media across apps.
Lets an agent work in your documents to draft in your voice, create interactive content, and publish to your site.
Create one application for users and AI agents. Bring your own LLM and deploy anywhere.
