This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Agent-Native is an open-source TypeScript framework for building agentic apps: AI agents that come with their own rich UI. The agent and the UI share the same actions, data, and state, so anything you can do in the app, the agent can do too. Define an action once and it powers your UI, agent, HTTP API, CLI, MCP server, and A2A endpoint. Auth, permissions, and real-time collaboration are built in, and it works with any AI model. Build locally and deploy anywhere.
This is great! I've been looking for a way to mitigate my agents working in silos. Being able to build agents that can all speak to eachother & my data is exactly what I am looking for.
I like how all user / agent interactions include MCP, api and a2a out of the box, very interesting
Wow, I was looking for something like this! I am learning a new language, and it's okay to see and interact with the dull ChatGPT UI, but I can just use this to build the UI that the agent can see and make the experience so much more interactive. Can see a ton more use cases! Congratulations to the team! 🎉
We've always felt that text is great for agents, but people need an interface for navigation, visuals, controls, and collaboration.
The goal is the flexibility of handing work to an agent, with the control of an app.
So we built Agent-Native, an open-source TypeScript framework for building AI agents with intuitive UIs. Anything you can do in the UI, the agent can do too.
It's for anyone who wants to take a workflow they know well and build an AI agent for it, with a UI that people and the agent both work in.
Actions are the core primitive. Define one, and it's available in the UI, agent, HTTP API, CLI, MCP, and A2A
Connect tools like Notion, Linear, and GitHub over MCP, and hand tasks to other agents over A2A
Shared instructions, skills, and memory, so the agent learns how your team works
Built-in auth, permissions, and real-time collaboration
Use any AI model, from Anthropic, OpenAI, and Gemini to local models with Ollama
Give it a spin:
npx @agent-native/core@latest create my-app
Agent-Native is in beta today, and we'd really value your honest feedback.
About Agent-Native on Product Hunt
“Open-source framework for building agentic apps”
Agent-Native was submitted on Product Hunt and earned 17 upvotes and 5 comments, placing #49 on the daily leaderboard. Agent-Native is an open-source TypeScript framework for building agentic apps: AI agents that come with their own rich UI. The agent and the UI share the same actions, data, and state, so anything you can do in the app, the agent can do too. Define an action once and it powers your UI, agent, HTTP API, CLI, MCP server, and A2A endpoint. Auth, permissions, and real-time collaboration are built in, and it works with any AI model. Build locally and deploy anywhere.
Agent-Native was featured in Open Source (69k followers), Developer Tools (521.5k followers), Artificial Intelligence (481.6k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 269.7k products, making this a competitive space to launch in.
Who hunted Agent-Native?
Agent-Native was hunted by Vishwas Gopinath. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Agent-Native stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Vishwas Gopinath
This is great! I've been looking for a way to mitigate my agents working in silos. Being able to build agents that can all speak to eachother & my data is exactly what I am looking for.