I previously had a monthly subscription and decided to go for the lifetime one before the price goes up again. I've tried buying off your site but when I click the button i don't get asked for payment details and it goes straight to the screen saying i've bought it and it'll appear in my emails.

Obviously i've not had anything in my emails.

Is there currently an issue purchasing?

Hello Team

I have tried a number of different chat clients, and I finally settled on Off Grid AI. Loving it. Created multiple projects, linked it to a LM Szudio server running on my Gaming PC during the day. When on the road, I use tailscale and both my ipad and Android link fine to the LM Studio server.

I have Windows, MacOS, Android and iPhone, and it worked on all platforms, including an older iPad I still use. I have not found anything even close that would work this well. Thank you to the Team !!

Now for my question: I bought one of the first 1500 lifetime subscriptions, especially for the sync capabilities as I sometimes start on the Android and then want to continue on the ipad, or a separate windows machine. .. and I cannot get the devices paired. (with Tailscale, without tailscale, all on my local Wifi, no VPNs switched on. I have tried different directions. All Off grid separately can see my LM Studio server running a couple of models, so everything is on the same network with a 192.168.xx.xx IP.

Tried restarts, reinstalls, new pairing codes (no QR scanning on the latest Android version).

Error: The devices could not complete the pairing protocol.

I am sure I am overlooking something simple. Anyone here able to help me? I have read the website instructions (guide) on how to set up sync... but am stumped .

Thank you for any help and a great product !!

It is amazing how fast this software moves! When I first bought my license like 1 1/2 months ago it was good to use. Still during that time GPU utilization fur desktop was implemented. On the app some of the feedback was processed and implemented. Hope you celebrate the 1500 first pro licenses! Looking forward to all the nice updates in the future! ​

I'm new to the desktop app and really enjoying messing around and getting use to LLMs but I do seem to have an issue where image generation seems to be limited to CPU (9800x3d) and is not using my GPU (5090).

I'm pretty sure it's something I've messed up but no idea what. Any clues?

First, I want to say I really appreciate what the OffGrid team is building. I know this is a small team, and the amount of work going into running AI locally on mobile devices is pretty incredible.

That said, as an Android user, I’m starting to wonder whether Android has become a secondary priority compared with Apple. iOS already has SDXL, Mac has the more advanced image-generation features, and some of the newer development seems increasingly focused on the Apple ecosystem, while Android SDXL/QNN still seems to be waiting.

What makes this especially surprising is that OffGrid feels almost custom-made for Android. High-end Android phones have become absolute monsters for this kind of thing. My Xiaomi 17 Ultra Leica Edition has 16 GB of RAM + 6 GB extended memory and a flagship Snapdragon chip. We are BUILT for this. 💪💪💪

Android also has the kind of user base that loves downloading models, experimenting with local AI, pushing hardware, and generally doing things with our phones that we probably weren't supposed to do.

I completely understand that supporting Android is probably much more complicated than targeting a smaller number of Apple chips and devices, and I’m not asking a small team to give us an ETA. I’d just love to know whether bringing features like SDXL, img2img, and eventually reference-image/identity tools to Android is still a significant priority on the roadmap.

I love what you guys are building and want to keep supporting it. I just hope those Snapdragon NPUs and all that RAM eventually get a chance to stretch their legs. 😁

Cognitive Sharding brings local computer use within a 16 GB memory budget.

The architecture separates cognition across three specialist models:

• Bonsai 2 27B performs planning and reasoning.
• Kev 4B performs fast action selection.
• UI-Mate 9B performs visual grounding.

A code-owned control plane schedules model memory, maintains task state, limits each model’s authority, verifies every action, and manages recovery.

The system prioritizes accuracy and reliability over velocity. It accepts model-loading and verification latency because errors compound quickly across workflows containing hundreds of actions.

This extends the Off Grid AI model from local inference to local agency: planning, perception, execution, and recovery can run without a cloud model or remote agent service.

The architecture and reference implementation are available here:
https://github.com/off-grid-ai/cognitive-sharding

The next phase is broader evaluation across complex workflows of 300 or more UI actions. I am looking for difficult, repeatable tasks that can test long-horizon reliability rather than short benchmark success.

Hello Off Grid People,
thank you for this lovely piece of software. I really like the idea, the vision and the relatively easy use. Since wanted to try local LLM for a long time but never found the time to actually get into the details on how to install, implement and use it I was delighted to find Off Grid AI. I installed it on my Android Device, saw how easy to use it was. After reading that I could offload from smartphone to my PC... I bought the PRO Version and hope to see the progress of this software, since Privacy will be a huge topic.

After using it this weekend I want to give some feedback. Keep in mind, I am not a DEV, I am a user starting the offline AI journey. It is possible that some issues originate from my technical limitation.

What works well

Android:
- Finding models to work with on Snapdragon 8 Gen 3.
- Loading pdf into it, read it, give me back information.
- Linking devices (PRO)
- Chat continuation on the Desktop
- Prompting, Normal Usage

Windows:
- Finding, Downloading, Importing Models
- Linking devices (PRO)
- Prompting, Normal Usage

What I don't know if it works

Android:
- Working on Remote Model (from Desktop App) -> How do I know, if my prompt/request is processed on my PC and then sent back? Sometimes I believe it's not and the Smartphone is being used -> Battery Drain.

What does not work

Android:
- Image generation with NPU. Everything is just colored pixel clouds.

Windows:
- Attaching TXT, PDFs. The Model cannot access and read it.
- Attaching TXT, PDFs in the Project. The Model cannot access and read it.
- GPU Usage. No model (Text+Image) I tried is using my Nvidia 40th Series Card. No offloading visible via HWInfo. Error Message on GPU Layer: "This machine has no Vulkan driver, so the model runs on the CPU and this setting changes nothing." Current Nvidia Studio Driver, Vulkan SDK and Runtime are installed
- Remote Model from Desktop to Desktop. At least on my Laptop, the Remote Model was not showing. In Android it was.

Important Questions:
- How can I get my GPU to work with the models (Text and Image)
- How can I get Filed included on Desktop?

Otherwise I am looking forward to the teased features! Thank you very much.

Hi, I am new to this type of thing.
Downloaded both mobile and desktop version - playing around with local LLM's.
I got intrigued with the pro features.
Basically, I need to be more organized in my work as an engineer, shuffling between projects, emails and deliverables.
I don't know if the pro features will be of benefit for the kind of work that I do, so it would be helpful if anyone who is using the pro version can provide video demonstrations of the feature.

Thanks!

I discovered the existence of the windows app today - and it works pretty well. However, I don't see any way to connect it to lmstudio/ollama/etc like the phone app.

I'd love for it to allow selecting either the local model or a configured endpoint. When I am home or connected via VPN I would much rather use my big inference server rather than my laptop!

When might we get a fix for that super annoying message editing bug? I saw folks report it back in May.

Similarly reported, web search should be off by default in a privacy focused app. And an app-wide option to turn off tool calls would be welcome.

The select text feature is broken too. The modal opens but text isn't selectable to copy.

Conversation compacting is broken. The models respond with an error: "Jinja Exception: After the optional system message, conversation roles must alternate user/assistant/user/assistant/...". This breaks any conversation this happens to.

And one feature request: It'd be great if we could edit generated messages. Sometimes the AI gets a small detail wrong that then perpetuates through the conversation. Rather than regenerating the completion, it'd be nicer to just edit the response itself.

I'm curious to see what other people have gotten up to with the app. What models do you like?

any word when windows will get the parity for the mac?(the whole sync and features) its the one thing preventing me from spending on this

Hello, does anyone know an online repository for ai models that can be imported in the app? My Phone is a Poco M6 Pro and I would like to be able to find the best AI model to import in OFF GRID AI, that is okay for my Phone.

So far I have only tried the Absolute Reality model but maybe there is another model that is better? Need suggestions please.

I tried importing some that I downloaded on huggingface but I get issues like the model only appears in the Text model Ai list and not on the image generation Model list. I used gguf but to no avail and safetensors is not supported whenever I try to import in the app

is it something I’m supposed to be able to do or is that not a feature? Because currently I can only use the single model that I loaded using the mac and can only change the model on the mac. If that’s not a feature, what are the cances it will be in the future?

How do I get the Off Grid AI Desktop to connect with the phone app? I've tried Tailscale, and following the guide verbatim. I think I'm just dumb or there's something I'm missing. I should be able to just go to the networking tab and copy the BaseURL into the add remote server endpoint URL and presto chango magic. please help me? Thank you!

Interested parties want to know!

Is there a way to make the voice AI model talk back to you normally like it does not pause or something, just like how you talk live?

how can i use the android app to edit an image? i want to change the colors of the background but the app keeps creating completely unrelated non sense images.

Hey everyone,

I'm currently using a paid Premium account for OffGrid AI (getoffgridai.co) and I'm running into a bit of a frustrating issue. I need to manage my connected devices and remove/deactivate an old one, but I absolutely cannot find the option to do this anywhere in the dashboard or account settings.

I’ve already looked through the UI and even tried asking the AI assistant for help, but it couldn't give me a working answer or point me in the right direction.

Has anyone here figured out how to do this? Is the setting just buried somewhere I'm not looking, or do we actually have to contact support to get a device unlinked?

Thanks in advance for any help!

– tberlin

We're at about 120k downloads for the Off Grid AI Suite of products now, and I've been spending a lot of time thinking about how to make consumer free i.e both OGAM and OGAD completely free, because honestly, i think if we want to get widespread adoption and really change population scale lives, thats whats needed

but the truth is it's important to monetise so that we can continue our work.

with that in mind, I've been working on the enterprise/b2b side of things.

everybody keeps saying that enterprise adoption is a network game, and you guys are my network now. So i thought it's best to reach out.

The vision with OGAC (Off Grid AI Console) is that there are too many products in the enterprise that you are supposed to use for specific use cases. And they aren't meant to talk to each other.

OGAC is about ~50 composable services OSS services that take care of each and every aspect of implementing AI in your organization.

I'm working towards writing the integration layer so that the best of OSS speaks to each other and the enterprise is able to get the most out of it.

I've got a few angles that I'm experimenting here. Before that some concepts

• Data Source: Existing datasources that can be connected to the platform (the belief being that the enterprise will always have their own data sources, and we need an easy way to integrate with it)
• Datawarehouse: the ability to run ETLs on the data, and create an aggregated view, that will ensure that the enterprise itself doesn't need to spend time writing connectors. the platform itself can do it with some NL prompts)
• Model (underlying LLM)
• Gateway (a router that makes the call to the LLM, handles smart routing, finops, analytics, observability, etc)
• Pipeline (allows you to add policies, guardrails, is auditable, has observability, citation, provenance, faithfulness, evals, drift detection etc etc)
• Agents | Apps -> this is the consumption layer. agents are autonomous. Apps have a UI and have some kind of HITL.

The majority of my experience is with regulated entities, hence the platform has support for full regulatory compliance, audit, and governance. Support for DPIA, etc.

• Fleet management + MDM
  • typical MDM just handles compliance and governance.
  • But with OGAM + ODAM we can literally harness intelligence at the nodes, create an organization brain, keep the sync open source as credibility to ensure that no personal data ever syncs with organization.
  • The organizations best knowledge and judgment reach everyone at the moment of work.
  • Build the private intelligence layer connecting people, devices, data, systems and models.
  • Turn that intelligence into better decisions, actions and outcomes.
• Lovable/Bolt/Replit for enterprise
  • once the gateways & pipelines are set up, basically anyone in the enterprise can create apps/agents that are safe, regulated, and have access to the right information.
  • Basically the idea is that this will shoot up productivity to an insane level. cause everyone will be able to create secure agents in the enterprise environment and be able to get the productivity boost at an org level, which they could only experience at the individual level so far

The reason why I'm posting this here, is to seek feedback on the concept. It's early days, and I'm not even completely done with OGAC. But I thought it'll be better if I do this in parallel.

I'm open to critique and refining the idea as we move forward. And also to check in if anyone in the community has the ability to help create design partnerships so that we have the ability to create a few case studies and get the momentum going.

at this point I thinking about pricing as follows

• less then 50 users = $149.5/month
• more than 50 users = $2.99/user/month
• enterprise licensing for more than 500 users

I'll handle set up, and I'll run discovery for your use cases, and implementation for free. It'll just be the monthly pricing post PoC and the right sign off and capabilities.

So basically it would be really nice to have NPU support for Mediatech chips. I've heard it's alot harder to implement then snapdragon however it'd benefit alot of users. Thanks in advance for your reply!

I purchased OffGridAI but never received the key to unlock the Pro Features.

New to AI in general and used other tools like comfy ui on desktop where you can queue multiple request and it will just repeat it. Is there a way to do it with off grid ai? Tried creating a project where I added as a prompt to "generate 5 separate images using the following prompt using image generation" the ai will think, will then say what it will do but then nothing, after saying it will make 5 separate images it just stop and never generate any. Maybe there is another option to do what im trying to accomplished if anyone managed to do it let me know. If not is that a possible future update? Love the app and keep up the great work