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OpenAva
Your personal AI team that evolves with your workflow.
Most AI feels like disposable chat tabs. OpenAva gives you persistent agents — each with their own memory, tools, and workspace — that work as a team across iPhone, iPad, and Mac. Keep talking to the same agents over time. Open source, MIT.
I built OpenAva because most AI products still feel like disposable chat tabs. I wanted something more persistent: AI agents with their own memory, tools, and workspace that keep getting better as you work with them.
With OpenAva, you can create specialized agents and run them as a team across iPhone, iPad, and Mac. You keep talking to the same agents over time, instead of starting a new session whenever you want to continue a task or pick up earlier work.
A few things that make it different:
🧠 Persistent agents — each with their own identity, memory, tools, and workspace
👥 Agent Teams as a first-class concept — a planner, an executor, a reviewer working on the same context, instead of one prompt trying to do everything
🍎 Native on Apple — iOS 18+, macOS 15+, with device-aware tools (files, calendar, reminders, notifications…)
🔌 Bring your own model — any provider, any endpoint
📱 Remote control — steer active agent workflows from another device
🔓 Open source, MIT — your agents, your data, your machine
The goal is to make AI feel less like a one-off conversation and more like a personal system that evolves with your workflow.
It's still early, but the core experience is already here. The macOS dev build is Developer ID-signed & notarized, ready to try today.
I'd love feedback on the product direction, onboarding, and whether this feels genuinely useful in daily work. What's the first agent team you'd build? 🙌
About OpenAva on Product Hunt
“Your personal AI team that evolves with your workflow.”
OpenAva was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #128 on the daily leaderboard. Most AI feels like disposable chat tabs. OpenAva gives you persistent agents — each with their own memory, tools, and workspace — that work as a team across iPhone, iPad, and Mac. Keep talking to the same agents over time. Open source, MIT.
On the analytics side, OpenAva competes within Productivity, Artificial Intelligence, GitHub and Apple — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how OpenAva performed against the three products that launched closest to it on the same day.
Who hunted OpenAva?
OpenAva was hunted by Y2. 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.
For a complete overview of OpenAva including community comment highlights and product details, visit the product overview.
Y2
Hey Product Hunt 👋 I'm Y2 (yuanyan).
I built OpenAva because most AI products still feel like disposable chat tabs. I wanted something more persistent: AI agents with their own memory, tools, and workspace that keep getting better as you work with them.
With OpenAva, you can create specialized agents and run them as a team across iPhone, iPad, and Mac. You keep talking to the same agents over time, instead of starting a new session whenever you want to continue a task or pick up earlier work.
A few things that make it different:
🧠 Persistent agents — each with their own identity, memory, tools, and workspace
👥 Agent Teams as a first-class concept — a planner, an executor, a reviewer working on the same context, instead of one prompt trying to do everything
🍎 Native on Apple — iOS 18+, macOS 15+, with device-aware tools (files, calendar, reminders, notifications…)
🔌 Bring your own model — any provider, any endpoint
📱 Remote control — steer active agent workflows from another device
🔓 Open source, MIT — your agents, your data, your machine
The goal is to make AI feel less like a one-off conversation and more like a personal system that evolves with your workflow.
It's still early, but the core experience is already here. The macOS dev build is Developer ID-signed & notarized, ready to try today.
🌐 Website: day1-labs.com/openava
💻 GitHub: github.com/Day1Labs/OpenAva
I'd love feedback on the product direction, onboarding, and whether this feels genuinely useful in daily work. What's the first agent team you'd build? 🙌