Hearth – a shared family workspace where an agent can build apps
Hi HN — I built Hearth for my family: https://ourhearth.ai Hearth is a shared workspace for a household. We use it for plans, notes, schedules, people, and recurring family rituals, with an AI agent that can work across that context. Kind of like a shared Obsidian with an agent. The cool part is that the agent can also build apps on top of the family's notes and run them inside the same workspace. We have a calendar and a travel app, for instance, and all the apps I use to manage my company's operations are in another Hearth. Hearth is built on Playground, a library we're…
What it does
In the maker’s words, at launch
Hi HN — I built Hearth for my family: https://ourhearth.ai Hearth is a shared workspace for a household. We use it for plans, notes, schedules, people, and recurring family rituals, with an AI agent that can work across that context. Kind of like a shared Obsidian with an agent. The cool part is that the agent can also build apps on top of the family's notes and run them inside the same workspace. We have a calendar and a travel app, for instance, and all the apps I use to manage my company's operations are in another Hearth. Hearth is built on Playground, a library we're developing for building collaborative AI coding harnesses. The common primitives are synchronized files, agents, people, app code sandboxing, and a policy layer. Hearth is the family-scale example; we're building Bear for construction projects using the same library. Hearth is beta software! We designed it with isolation and least-privilege in mind, but I recommend that you don't put anything too sensitive in there until the source is out and stable (we're making Hearth open source soon). If this sounds like something you family could use, check it out and let me know what you think! More background: [Hearth: Build your own assistant](https://bear.build/posts/hearth-build-your-own-assistant/)
Does the same job
all alternatives →
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com