NoteCove
I built NoteCove because I wanted notes and tasks that sync across devices without the data going to a SaaS company. The sync works through files on your own iCloud Drive, Google Drive, or Dropbox — there's no NoteCove server in the sync path. The tricky part was making this reliable. I ended up using CRDTs (specifically Yjs) for conflict resolution, which handles the case where you edit the same note on your phone offline and your laptop offline — both edits merge without losing either. It has a full task management system alongside notes: custom states, kanban boards, parent/child…
NoteCove launched on May 26, 2026 with 82 votes, #454 of 20,538 launches that month and more than 95% of that year's launches.
What it does
Local-first notes and tasks that sync through your own cloud storage that you already trust. Agent accessibility via NoteCove's CLI and MCP. Ability to make NoteCove accessible to remote VMs where your agents run. Semantic search, configurable kanban boards, LaTeX math formatting, document history, Google Docs style comments on notes (which your agent can see and respond to via MCP/CLI) and more!
A safe harbor for what matters. Local-first notes and tasks that sync through your own cloud storage.
A local-first workspace where your AI can read, write, and manage your notes and tasks — synced across devices using cloud storage you already pay for, without your data ever leaving your control. Why NoteCove? You shouldn't have to choose between convenience and control. The problem: No sync without iCloud. Can't use at work if IT blocks iCloud. NoteCove: Sync through any cloud storage — iCloud, Google Drive, Dropbox, OneDrive. The problem: Your data lives on their servers. What are they doing with it? What if they go down? NoteCove: Your data stays on your devices and your cloud storage. No middleman. The problem: Sync costs $4/mo per user. Getting beyond plain markdown means plugins.…from notecove.io
In the maker’s words, at launch
I built NoteCove because I wanted notes and tasks that sync across devices without the data going to a SaaS company. The sync works through files on your own iCloud Drive, Google Drive, or Dropbox — there's no NoteCove server in the sync path. The tricky part was making this reliable. I ended up using CRDTs…
Does a similar job
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Serverless collaborative notion-level note editor using CRDT in GO2024 · github.com · ▲98File manager + CRDT Note Editor. Contribute to notebox/nbfm development by creating an account on GitHub.
- M2Muse 2.0 with local-first sync2022 · museapp.com · ▲178
Hey HN, I want to share with you something I and my four colleagues have been working on for the last several years. It’s a whiteboarding and notes tool called Muse[1]. We just released a 2.0 version which includes local-first sync. A little backstory: I’m one of the authors of the 2019 essay Local-first software[2]. (Past HN discussions[3][4].) The thesis is to reclaim some of the ownership over our data that we’ve lost in the transition from filesystems to cloud/SaaS. So I’m excited to bring CRDT technology “out of the lab” and into a commercial product as a chance to prove the value…
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NotesHub: cross-platform, Markdown-based note-taking app2024 · about.noteshub.app · ▲147Thank you for your comments, just some context: - The app is available for iOS, Android, Windows, Mac, Apple Vision Pro, and the Web. - The Web version is implemented as a Progressive Web Application that is very responsive, local first, offline first, can be installed, and is entirely free to use. - Native (hybrid) versions do not require subscription fees and have small one-time payment. - You can store your notes in Git using any Git provider such as GitHub, GitLab, or Bitbucket. However, it has the best built-in integration with GitHub. Self-hosted scenarios like Gitea are also…

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Launched alongside, May 2026
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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