nowfound

AI · August 18, 2026

Meterless.ai

Run AI locally and own the whole workflow

What it does

Most AI tools return an answer and discard the process. Meterless lets the real workflow run on your device—and makes it yours. Relay turns desktop work into reusable missions. Gaia keeps projects, memory, and context persistent. Swarms exposes the full agent graph. Replay, edit, switch models, and run the work again without starting over. Local-first, model-agnostic, and built so AI work compounds instead of disappearing.

Meterless is the local-first ownership layer for agentic AI. Relay turns desktop automation into reusable missions, Gaia is the persistent AI workspace where your work compounds, and free tools like Swarms hand you the full agent graph. Local control by default, model-agnostic.

Most AI tools give you an output, then discard the structure that produced it. Meterless preserves that value: Relay turns work across your applications into reusable missions , while Gaia keeps your memory, goals, decisions, and artifacts together so your AI work compounds across sessions, devices, and models. AI models will keep changing. The lasting value is the structure created around your work: the missions, memory, decisions, workflow state, policies, artifacts, and proof of what succeeded. Meterless keeps those assets on your device and independent of any one provider. Relay makes successful workflows reusable. Gaia carries the context forward. Change models without rebuilding how…from meterless.ai

Does the same job

all alternatives →
  • Relay.app AgentsFeb 2026 · ▲215

    Build an AI team that works for you

  • Dash2025 · ▲174

    Prompt to run your entire workflow — no tool-switching.

  • Missions2017 · ▲181

    Create custom workflows for Slack

  • Cobot2025 · ▲174

    The first to-do app that does it for you.

  • relaydJan 2026 · ▲101

    Remote control for your Codex agents. Ship from anywhere.

  • Astropad WorkbenchApr 2026 · ▲131

    Remote desktop for AI agents running on headless Macs

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 · 16d ago · simedw.com

  • Astute585

    Automate your B2B brand going viral, with new media creators

    AI · 18d ago · company-app.joinastute.com

  • Grok Bot547

    AI teammates that you can give real work to

    AI · 25d ago · x.ai

  • 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

  • Make your software self-driving

    AI · 30d ago · coldtea.ai

  • Soloop472

    Approval-first Agent OS for solo founders

    AI · 30d ago · soloop.io

Launched alongside, August 2026

the whole month →
  • TL

    Life & fun · 10d ago · louisabraham.github.io

  • Hey Noah641

    A proactive AI executive assistant for founders

    AI · Aug 2026 · heynoah.io

  • Let agents source clips from terabytes of your local video

    Work · 18d ago · clipto.com

  • 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

  • AdAnt AI608

    Claude for viral, high-converting social ads

    AI · Aug 2026 · adant.ai

  • 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