Gwal - AI Agents on Mobile
Army of AI Agents in your pocket.
What it does
Gwal lets you create, deploy and manage customized (multiple) AI agents directly from your phone. Create custom agents with unique avatars, personalities, and tasks, then deploy them to the cloud in seconds. Your agents stay persistent and can collaborate with each other to complete complex workflows. Extend them with 8000+ plug-and-play skills, securely connect APIs using encrypted environment variables, and manage everything from your mobile. Your personal AI workforce, right in your pocket
Does the same job
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Open MinisAug 2026 · openminis.app · ▲91An on-device AI Agent that runs on your phone, open & secure
AI YC interview with Gstack agents Jul 2026 · gstack-meeting.com · ▲120AI specialists that join your Google Meet and gives feedback
- IBI built an AI Agent that uses the iPhone2025 · github.com · ▲53
It’s powered by OpenAI’s GPT 4.1 model. Uses Xcode UI tests + accessibility tree to look into apps, and performs swipes, taps, etc to get things done.
More ai this month
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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 · 17d 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 · 27d ago · cactuscompute.com
Launched alongside, March 2026
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Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
