TaskShell 2.0
Agent-first task management for more agentic productivity
What it does
Manage your tasks together with your agents for complete agentic productivity. Ask to add a relevant todo as a task from your conversation mid-session, ask what's due for this week, what's most important, ask for help to plan your work, update tasks, bring up notes that are important to inject as context, and keep your agents in the loop across platforms. All through a simple but powerful MCP that syncs with all modern agents from Claude Code, to Cursor, to OpenCode, to OpenClaw, and more.
Agent-first task management platform that connect with any and all of your agents through MCP to 10x your agent-first productivity workflows.
No more app-switching to keep up with your todos. You and your agents now completely in sync with your work, exactly where you work. No matter whether you use ChatGPT, Claude Code, Cursor, or any other AI platform, individually or combined. All your agents will know what you’re working on and what’s coming next. Collaborate with your agents on any working session. Across all supported AI platforms. Prompt your way to new tasks, subtasks, completions, and more. In the same place where you work. Simple single-prompt MCP setup and you’re all set. Start ticking boxes in no time. Need to check something in a more traditional intuitive interface? The web-app is always synced and ready for any…from taskshell.app
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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 · 16d ago · simedw.com
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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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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 · 16d ago · simedw.com