Alternatives
Products that do what MiddAI V2 does
Offline AI with the features of cloud AI
- 1
Offline AI with Online Search, Memories, File/Image Analysis
Jun 2026 · github.com
- 2
Offline AI with online search & memory capability.
May 2026 · middae.itch.io
- 3
- 4
- 5OG
Your phone has a GPU more powerful than most 2018 laptops. Right now it sits idle while you pay monthly subscriptions to run AI on someone else's server, sending your conversations, your photos, your voice to companies whose privacy policy you've never read. Off Grid is an open-source app that puts that hardware to work. Text generation, image generation, vision AI, voice transcription — all running on your phone, all offline, nothing ever uploaded. That means you can use AI on a flight with no wifi. In a country with internet censorship. In a hospital where cloud services are a compliance…
Feb 2026 · github.com
- 6
- 7
- 8
- 9
Your AI, fully offline with Zero data collection & 100% free
May 2026 · lumichats.com
- 10
- 11
- 12
Your AI memory, everywhere you work
Jul 2026 · thesecondbrain.dev
- 13
- 14
- 15
- 16
- 17
- 18
- 19
- 20RA
Your Mac can run AI that holds its own against cloud models for the everyday stuff: chatting, making images, reading documents, transcribing voice. The hardware got there a while ago. The software to actually use it locally mostly didn't, so I built Off Grid. Download a model and it all runs on your machine. Ask it something on a flight with no wifi. Summarize a confidential document that never leaves your laptop. Run a hundred image generations in a loop and pay nothing, because it's your own GPU doing the work. Swap your paid dictation app for local Whisper. Talk through a coding problem…
Jun 2026 · github.com
- 21WB
Hey HN! Alex and Zack from Nexa AI here. We are excited to share a project our team has been passionately working on recently, in collaboration with Jiajun from Meta, Qun from San Francisco State University, and Xin and Qi from the University of North Texas. Running AI models on edge devices is becoming increasingly important. It's cost-effective, ensures privacy, offers low-latency responses, and allows for customization. Plus, it's always available, even offline. What's really exciting is that smaller-scale models are now approaching the performance of large-scale closed-source models for…
2024 · github.com
- 22
- 23LT
Hi HN! I'm the author of mere.run a local first inference runtime built around an installable CLI. I believe that whenever possible we should use the stuff we already own (like our Mac laptops, decent machines gathering dust, our gaming PC) and the limited electrical power we have easy access to, like the socket in the wall next to most of us. We shouldn't have to send our data to the cloud hoping some T&C will prevent it from being used in a way that we'd regret. Most of the local AI solutions are technical, involved, and land a curious body in some package hell. People are optimizing for…
Jul 2026 · github.com
- 24
Ranked by how close each launch is in meaning, then by votes. Refine with a description →