nowfound

AI · July 10, 2025

Cactus – Ollama for Smartphones

Hey HN, Henry and Roman here - we've been building a cross-platform framework for deploying LLMs, VLMs, Embedding Models and TTS models locally on smartphones. Ollama enables deploying LLMs models locally on laptops and edge severs, Cactus enables deploying on phones. Deploying directly on phones facilitates building AI apps and agents capable of phone use without breaking privacy, supports real-time inference with no latency, we have seen personalised RAG pipelines for users and more. Apple and Google actively went into local AI models recently with the launch of Apple Foundation Frameworks…

Cactus – Ollama for Smartphones launched on July 10, 2025 with 231 votes, #143 of 9,224 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.

Visit github.com ↗Alternativestop 2% of July 2025

In plain words

Cactus is a cross-platform framework that lets developers run large language models, vision models, embedding models, and text-to-speech directly on smartphones. It works with Flutter, React Native, and Kotlin, supporting any GGUF model. Running AI locally on phones enables privacy-preserving applications with no latency and faster inference. It fills a gap left by platform-specific solutions like Apple Foundation Frameworks and Google AI Edge, offering developers flexibility to build personalized AI features without relying on cloud services.

written from the facts on this page · September 2026

From the sources

Quantization, kernels, runtime and inference engine for mobiles, wearables, smart home and robots. - GitHub - cactus-compute/cactus: Quantization, kernels, runtime and inference engine for mobiles, wearables, smart home and robots.

In the maker’s words, at launch

Hey HN, Henry and Roman here - we've been building a cross-platform framework for deploying LLMs, VLMs, Embedding Models and TTS models locally on smartphones. Ollama enables deploying LLMs models locally on laptops and edge severs, Cactus enables deploying on phones. Deploying directly on phones facilitates building…

Does a similar job

all alternatives →
  • 1CodeJan 2026 · github.com · ▲569

    Just to clarify the background a bit. This project wasn’t planned as a big standalone release at first. On January 16, Ollama added support for an Anthropic-compatible API, and I was curious how far this could be pushed in practice. I decided to try plugging local Ollama models directly into a Claude Code-style workflow and see if it would actually work end to end. Here is the release note from Ollama that made this possible: https://ollama.com/blog/claude Technically, what I do is pretty straightforward: - Detect which local models are available in Ollama. - When…

  • Ollama v0.19Apr 2026 · ollama.com · ▲410

    Massive local model speedup on Apple Silicon with MLX

  • Ollama Desktop App2025 · ollama.com · ▲481

    The easiest way to chat with local AI

  • I made an app to use local AI as daily driver2024 · recurse.chat · ▲637

    Hi Hackers, Excited to share a macOS app I've been working on: https://recurse.chat/ for chatting with local AI. While it's amazing that you can run AI models locally quite easily these days (through llama.cpp / llamafile / ollama / llm CLI etc.), I missed feature complete chat interfaces. Tools like LMStudio are super powerful, but there's a learning curve to it. I'd like to hit a middleground of simplicity and customizability for advanced users. Here's what separates RecurseChat out from similar apps: - UX designed for you to use local AI as a daily driver.…

  • Needle2: 14MB agentic LLM for phones, wearables, smart home and robotsAug 2026 · cactuscompute.com · ▲537

    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…

  • Cactus Hybrid: We taught Gemma 4 to know when it's wrongJul 2026 · github.com · ▲191

    Hey HN, Henry & Roman here from Cactus. A small, on-device model is fast and private, but sometimes wrong, but frontier models are getting expensive pretty fast. So, we post-trained Gemma 4 E2B post-trained to know when it's wrong. Every response comes with a confidence score between 0 and 1. Developers can accept the on-device when it's high, hand off to a bigger cloud model when it's low. By routing only 15-35% of queries to Gemini 3.1 Flash-Lite, Gemma-4-E2B matches Gemini 3.1 Flash-Lite on most benchmarks. - ChartQA: 15-20% - LibriSpeech: 25-30% - MMBench, GigaSpeech, MMAU: 30-35% -…

More ai this month

the category →
  • Video model that turns script into viral social media videos

    AI · 17d ago · spira.ai

  • The browser where Claude Code and Codex work beside you

    AI · 16d ago · rill.love

  • Kolibri is Aleph Alpha

    AI · 18d ago · tej.as

  • Paintings by AI models: programs run through a simulation of oil paint.

    AI · 20d ago · stillwet.art

  • Onepin▲384

    AI voiceover with every name, price and date said right

    AI · 30d ago · onepin.ai

  • A real-time world model you can explore and change

    AI · 28d ago · world.pixverse.video

Source: Show HN post ↗ · launch text quoted in part

Launched alongside, July 2025

the whole month →
  • Clueso▲1,300

    Create stunning product videos in minutes with AI

    AI · 2025 · clueso.io

  • Hey HN! Introducing Trickle Magic Canvas: the world’s first Agentic Canvas, where you can visually co-create apps and websites with AI, from idea to production. Why is a canvas better? Most AI tools today rely on linear chats or text prompts. We believe that limits creativity and clarity. Canvas changes the game. 1. Every version & page at a glance. Each page and sub-page lives on a timeline. You can quickly browse, edit, and preview progress like a living, visual document — no more digging through chat logs or scattered states. 2. The canvas is the context. Unlike linear chats, you can…

    AI · 2025 · trickle.so

  • TB
  • Today marks ten years, 3653 consecutive days, of running at least one mile every day under the USRSA rules [1]. To celebrate, I built an interactive dashboard that turns a decade of GPX files into charts you can explore. Running has truly changed my life: I've made lifelong friends, explored beautiful places, and more importantly invested into my own health and fitness, which I'm starting to see the positive benefits as I get older. The stack is pretty simple: a NextJS app, with a Postgres database to keep all my running data, and all the stats are pre-computed and cached in Redis, so I…

    Dev tools · 2025 · nodaysoff.run

  • Made this website as an exercise in vibe-coding and GCP. It was posted about a few times around the internet, on sites like Morning Brew (https://www.morningbrew.com/issues/business-buzzkill), MetaFilter (https://www.metafilter.com/209703/Draw-A-Fish), boingboing.net, etc. I think it's cute! I built a basic CNN trained against penises and swastikas, and then anything that doesn't hit the 63% confidence score gets sent to a mod queue, a vibe-coded fish-tinder…

    AI · 2025 · drawafish.com

  • Hi HN - I made a site that takes a UK postcode, grabs the local MP's information and generates an AI mockup of what their ID might look like. It's a small, silly protest at the stupidity of the Online Safety Act that just came into force. edit - My open AI credits got hugged to death, please use a known postcode (like one from Kier Starmer's constituency, WC2B6NH) in the meantime.

    AI · 2025 · use-their-id.com