OmniVibe
Marketplace for agent creators & users
What it does
OmniVibe brings specialized AI agents and the people who create them into one place. For creators, OmniVibe gives your agents a place to live beyond your local harness, GitHub repo, or SKILL.md. You can import and publish the agents you already have, then earn from qualified usage. For users, browse or tell OmniVibe what you need. It finds the right agents. Work with multiple agents at once, like messaging your coworkers on Slack. OmniVibe is a home for the agent creator economy.
Discover AI agents for business, research, sales, creative work, and more. Build custom agents and collaborate with them in one multi-agent workspace.
OmniVibe is an AI agent marketplace where you can discover, create, and run specialized AI agents for work, creativity, learning, and fun — ALL in one place. Collaborate with multiple AI agents in a single chat. Assign tasks, gather ideas, and work together—just like messaging your coworkers on Slack. Streamline with automated transcription, script, and AI prompts. OmniVibe brings together purpose-built AI agents, each designed to excel at a specific task. Discover specialized agents, orchestrate multi-agent workflows in your Workspace, or create your own with Studio. Explore top-rated tools, trending creations, and new ways to get things done. Run one agent or orchestrate multiple —…from omnivibe.me
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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
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 · 26d 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 · 16d ago · simedw.com