Agents
13 updates on Agents.
RikkaHub Agent test: Android phone agent compiles whisper.cpp on its own
XDA runs RikkaHub Agent on an Oppo Find N5 against a self-hosted Qwen 3.6 27B. The agent installed dependencies and built whisper.cpp in Termux in seven minutes.
Liquid AI releases LFM2.5-2.6B for on-device agents
Liquid AI reports 30 tokens per second on a phone and under 2.5 GB of memory for its 2.6-billion-parameter model, released with open weights.
Qualcomm CEO says agents will become the new app, cites more than 40 device designs
Cristiano Amon tells CNBC that Qualcomm has over 40 designs for AI wearables and that smart glasses shipments could reach hundreds of millions a year.
CAPED redacts phone screenshots before a cloud GUI agent sees them
Researchers at CUHK, Southeast University and Shandong University report a phone-side screenshot filter that cuts seeded leakage from 0.766 to 0.268.
Gemma 4 lands on the edge with Agent Skills in Google AI Edge Gallery
Google says Gemma 4 E2B runs in under 1.5 GB on some devices and reaches 3,700 prefill tokens per second on a Qualcomm Dragonwing IQ8 NPU.
ClawMobile tries system commands before screen taps and finishes all six test tasks
An agent runtime that runs on the phone itself routes tasks to ADB commands before UI taps, and the authors report 100 percent completion on six tasks.
Alibaba releases GUI-Owl-1.5 agent models from 2B to 32B under MIT
Tongyi Lab open-sourced six GUI agent checkpoints from 2B to 32B and reports 71.6 on AndroidWorld, with every benchmark run server-side, not on a phone.
Apple opens its on-device model to all apps with the Foundation Models framework
Any app can call the roughly 3-billion-parameter on-device model from Swift, offline and free of charge, with guided generation and tool calling.
PhoneLM searches for a fast architecture before training it and hits 58 tok/s
BUPT researchers picked their 0.5B and 1.5B transformer shapes by measuring speed on a Snapdragon 8 Gen 3 first, then pre-training the winner.
Mistral puts Ministral 3B and 8B on devices with 128k context
Ministral 3B and 8B handle up to 128k tokens for on-device work, but only the 8B Instruct weights were published, and for research use.
Octopus v3 picks an action from an image and a query in under 1B parameters
A technical report describes a sub-billion multimodal agent that turns an image and a text query into a function call, shown through ten worked examples.
Octopus v2 is a 2B model that calls Android APIs with one token per function
A 2B Gemma fine-tune gives every Android API its own token, and the authors report 99.524% accuracy and 0.38 seconds per call, ahead of GPT-4.