
Mutliple
The First Autonomous Spatial Operating System for the Web
What it does
Mutliple.live is the first autonomous spatial operating system for the web. Unlike traditional dashboards, it provides an infinite 2D canvas where you can gather all your tools, notes, and widgets on a single screen to eliminate tab fatigue. What makes it stand out is the integrated AI assistant that interacts directly with your workspace and a secure widget ecosystem designed for scale. Experience true freedom with real-time collaboration and a fully customizable spatial workflow.
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For the past few months, I've poured all my energy into building something I'm incredibly passionate about: SamwiseOS, a completely in-browser, AI-first operating system. What is it? SamwiseOS is a persistent, single-page web app that looks and feels like a real operating system, complete with a terminal, a robust virtual filesystem (that saves to your browser's IndexedDB), user/group management, and even graphical applications. The twist? The entire core logic—filesystem, command execution, user management, everything—runs on a Python kernel powered by Pyodide (WebAssembly). The JS…
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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…
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai


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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…
Life & fun · May 2026 · github.com
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Dev tools · May 2026 · github.com