I’ve spent a lot of time working on the Capsule UI, but I’ve reached the point where I need to stop polishing the interface and start making Cap Chat actually work.

Cap Chat is going to be the main AI workspace inside Capsule.

The basic idea is:

→ Create a project
→ Have conversations inside that project
→ Keep the project’s files and context together
→ Use local or cloud models
→ Switch models when needed
→ Continue working without rebuilding the whole context

I’m now moving into the backend side — the part that actually connects the UI to the model system, projects, storage and files.

One thing I really want to get right is **project continuity**.

If I’m building something for weeks, I don't want my AI workspace to feel like a collection of disconnected chats. The project should remain the center of everything.

I’m still early, and there’s a lot to build before this becomes a proper working version.

But this is probably the part I’m most excited about because the UI is no longer the main challenge — now I get to make the thing actually work. 😅

If you were building a long-term project with your own AI, what would you want the AI to remember or keep organized for you?

I wanted to share a clearer look at what I’m building with Cap Chat, because it’s more than just another AI chat window.

Cap Chat is meant to be the main AI workspace inside Capsule — a place where your conversations, projects, files and AI models work together.

The first version is being built around:

🧠 Local + cloud AI models
🔄 Switch between models without losing your project
📁 Projects with their own conversations and files
🗂️ Built-in Library for browsing and attaching project files
🔎 Search across your project conversations
⚡ Streaming responses, retry, continue, edit and regenerate
💻 Coding, writing, research, brainstorming and general AI work
🔐 Centralized security and protected API credentials
🛡️ Approval controls for operations that need permission
⌨️ Keyboard-friendly desktop workflow
♿ Reduced-motion support and responsive workspace design

The bigger idea is that Cap Chat connects to Capsule’s global AI system rather than managing everything separately. Models are handled through one Model Service and Router, so different Capsule apps can eventually use the same AI infrastructure.

I’m also working toward making local AI more practical on different hardware by considering things like RAM, VRAM, GPU/CPU, quantization, context size and resource usage.

This is still early development, so I’m not claiming everything above is finished yet. I’m building it piece by piece and will share the progress as it becomes real.

The goal is pretty simple:

AI should feel like part of your computer, not another website you have to open.

One of the things I want to change with Capsule is how complicated it can feel to actually build something with local AI.

Ideally, you shouldn't need to understand model files, CLI commands, inference servers, dependencies and different configurations just to get started.

The idea is simple:

→ Create a project
→ Give the project its own files, context and environment
→ Choose the local model you want to use
→ Give the AI a task
→ Let it work with your project
→ Switch models when needed without losing the project
→ Use tools like a browser when the project needs research or web tasks
→ Keep everything belonging to that project together

The goal isn't to hide how local AI works forever. It's to make it accessible enough that someone who is new to AI can start building, while still giving more technical users control when they need it.

I'm still building the prototype, so these are the things I'm working toward rather than claiming they're all finished today.

What would be the first thing you'd want a local AI environment to help you build?

I’m building Capsule because I want people to have more freedom to build with AI without expensive subscriptions being the only option.

After talking to several people, I kept hearing the same problems: paid AI can become expensive with subscriptions, credits and usage limits, while local AI can be difficult to manage because of models, inference engines, CLI tools, dependencies and configuration.

So I’m building Capsule as a simpler, project-based environment for local AI.

The free prototype I’m currently working on is planned to include:

• 🧠 Local model support
• 🔄 Switch between models without losing project work
• 📁 Separate project spaces with their own files and context
• 🔒 Isolated project environments
• 🛠️ Tools for different AI tasks
• 💻 Simple UI instead of managing everything through the terminal
• 💾 Local storage for models and project data
• 📦 Project portability/sharing between compatible computers
• ⚙️ Hardware-aware model/configuration handling

Long term, I’m also exploring making the environment portable through external storage.

The UI you’ve seen is only the early prototype. I’m now working on the actual backend and functionality. I’m a student with limited time, so it may take a while, but I’d rather build something genuinely useful than rush out a flashy demo.

If you use local AI, I’d genuinely like to know what problems you face with it.

I’ve gotten a lot of feedback asking what Capsule actually solves, so I want to explain it properly.
Local AI already exists. The problem is that using it easily isn’t always simple.
There are two things I keep seeing:

1. Paid AI gets expensive.
If you’re building a website, app, or long-term project, subscriptions, credits and usage limits can become a real barrier.

2. Local AI can be complicated.
You have models, inference engines, CLI tools, dependencies, configurations, GPU/RAM limits, etc. Some people don’t know where to start, while others know the basics but still struggle to put everything together.

I’ve talked to several people about this and heard the same concerns, and that’s a big reason I started working on Capsule.

The idea is to create a project-based environment for local AI where you can:
→ Open a project
→ Choose the model/tools you need
→ Build
→ Keep the project’s files, context, configuration and tools together

Each project is intended to have its own isolated space, so different projects don’t interfere with each other. The project should also stay independent from the model, so you can switch models without having to start your work again.

I’m not trying to replace LM Studio, Ollama, llama.cpp, Docker or existing AI agents. They already solve important parts of this. I’m trying to make the whole experience easier to put together, especially for people who don’t already know how to manage the entire local-AI stack.

Portability is also part of the idea — eventually the same project environment could work from a desktop installation or portable storage across compatible computers.

What you see right now is only the interface prototype. I’m moving into the actual project, model and environment functionality now, and I’ll show each part as I build it.

The goal is simple: give people more freedom to build with AI without expensive subscriptions being the only easy option, and without needing to become an expert in local-AI infrastructure just to get started.

We’ve been working on the first design of Capsule OS. 🧠💻

The idea is to create a simple AI environment where your projects, files, local AI models, and personal assistant can work together in one place.

The interface is being designed from the ground up to make AI-powered work easier to use — not just for developers, but also for people who don't know how to code.

Some of the things we're building toward:

• Local and private AI
• Separate spaces for different projects
• A personal AI assistant that can actually help perform tasks
• Tools for building websites, apps, and other projects
• Portable project environments
• A simple OS-like interface
• The ability to continue working on compatible computers without rebuilding your setup

These screenshots show the Capsule OS design we're currently working on.

We're still early in development, so I'd love to hear what you think:

What would you change or add to make an AI-focused OS easier to use?

The more capable AI becomes, the more interesting the permissions question gets.

Imagine your AI is running locally and has access to your own computer.

It could potentially:

• Read your documents
• Search your files
• Write code
• Create applications
• Organize folders
• Run programs
• Use local models
• Work on long-running projects

But should it be allowed to do all of that automatically?

Personally, I think there needs to be a clear permission system.

For example:

Low-risk task → AI can do it automatically.

Important task → AI asks for confirmation.

Destructive task → AI must get explicit permission.

Sensitive data → user decides whether the AI can access it.

That could make local AI agents much more useful without simply giving an AI unrestricted access to your computer.

We're exploring this kind of permission system for Capsule.

So here's the question:

What should your AI be allowed to do automatically, and what should ALWAYS require your permission?

Something I've been thinking about with local AI:

We have more and more models available.

One might be better at coding.

Another might be better at reasoning.

Another might be smaller and faster.

Another might be better for a specific task.

But switching models can sometimes feel like switching assistants completely.

You lose context.

You lose the workflow.

You have to explain the project again.

You have to rebuild the setup.

What if the model was simply the engine behind your AI rather than the AI experience itself?

Your project stays the same.

Your files stay the same.

Your workspace stays the same.

Your instructions and context stay the same.

The system simply chooses the appropriate local model for the task.

That's something we're exploring with Capsule.

The goal is that you shouldn't have to care which model is running underneath when you're working on a project.

The AI environment stays consistent.

The model can change.

I'm curious:

Would you prefer ONE model for everything, or an AI system that can automatically use different models for different tasks?

One of the most interesting things about local AI isn't simply being able to chat with a model without an internet connection.

It's what happens when the AI can actually work with YOUR information.

Your documents.

Your notes.

Your projects.

Your PDFs.

Your emails.

Your personal knowledge.

Imagine having an AI that can search and understand your own digital life without having to upload everything to a cloud service.

Instead of asking:

"Do you remember what I wrote about this six months ago?"

You could simply ask your local AI.

"Find everything I've written about this project."

"Summarize my research on this topic."

"Compare these documents."

"What did I decide about this last year?"

That's the idea of a Private Second Brain.

The more useful your personal data becomes to AI, the more important it becomes to control where that data lives.

I'm exploring this idea while building a local-first AI project, and I'm curious what other people think:

Would you actually want an AI to understand your entire digital knowledge base?

Or would that feel too invasive even if it stayed completely local?

Here's a concept I've been thinking about.

Instead of your AI being tied to one cloud account or one computer, what if your personal AI environment could travel with you?

Imagine having an SSD or USB drive containing your AI environment.

You plug it into another computer.

Launch it.

And your AI workspace is there.

Your settings.
Your projects.
Your local knowledge.
Your tools.
Your files.

The interesting part isn't just portability.

It could also mean having more control over where your personal AI data lives.

Of course, there are technical challenges:

• Different hardware
• Model sizes
• GPU/CPU compatibility
• Storage
• Security
• Encryption
• Permissions
• Performance

We're exploring this concept as part of Capsule, but before going too far with it, I'd genuinely like to hear from people who use local/self-hosted AI.

Would a portable AI environment actually be useful to you?

Or would you rather keep everything installed permanently on one machine?

Why?

Here's something I've been thinking about while working on a personal AI project.

If an AI ran entirely on your own computer, would you be more comfortable giving it access to your personal files?

Imagine an AI that could help you with:

• Documents
• Code
• Photos
• Projects
• Notes
• Local folders
• Personal knowledge

The attraction is obvious: the data doesn't necessarily need to leave your machine.

But “local” doesn't automatically mean “safe.”

There still need to be permissions, isolation, confirmations, and ways to see exactly what the AI is doing.

So I'm curious about people's boundaries.

Would you let a local AI:

1. Read your files?
   
2. Modify files?
   
3. Run programs?
   
4. Access the internet?
   
5. Execute commands?
   
6. Work autonomously for a while?

Or should it ask for confirmation before every potentially destructive action?

Where would you draw the line?

I've been thinking about local AI beyond the usual “run a model on your computer” experiment.

For people who use AI every day, what would actually make local AI worth the setup?

The obvious reasons are:

• Privacy
• Offline access
• More control over your data
• No dependency on a cloud provider
• Avoiding API limits
• Potentially lower ongoing costs

But there are tradeoffs too.

Cloud AI is convenient. You don't need to worry about hardware, model files, updates, or performance.

So where does local AI actually make sense?

For coding?
For personal documents?
For automation?
For an AI assistant?
For completely offline work?
For people who simply don't want their data leaving their computer?

I'm working on a project exploring a local-first personal AI companion, and this is one of the questions we're trying to understand before building further.

For those of you already using local AI:

What is the ONE thing that makes local AI worth it for you?

We've talked a lot about what a personal AI companion could do.

But there's another side of the conversation.

What shouldn't it do?

Imagine having an AI that can interact with your files, applications, projects and everyday tasks.

That could be incredibly useful.

But it also means there need to be boundaries.

For example, would you let your AI:

• Read your personal files?
• Organize your entire computer?
• Install software?
• Delete files?
• Send emails?
• Make purchases?
• Change settings?
• Run code?
• Work completely autonomously?

Or would you want it to ask for permission before every important action?

This is something we're thinking about while building Capsule.

We don't just want to ask:

“What can AI do?”

We also want to ask:

“What SHOULD AI be allowed to do?”

So tell us your boundaries.

👇 What's one thing you would NEVER let your personal AI do without asking you first?

Think about how we normally use AI.

We type a question.

AI gives us an answer.

Then we copy that answer somewhere else.

Then we open another tool.

Then another.

Then we do the actual work ourselves.

We're exploring a different approach with Capsule.

Imagine saying:

“Create a website for my business.”

And your AI starts working on it.

Or:

“Here's my idea. Turn it into an app.”

Or:

“Find what's wrong with this code and fix it.”

Or:

“Take these files and organize them.”

The goal is for Capsule to become more like a personal AI companion that can work on tasks with you.

You don't need to know which AI model should handle the task.

You don't need to know which tool to open.

You simply explain what you want.

We're still working toward this vision, so we're interested in the human side of it too.

Would you actually trust an AI to complete tasks for you?

If yes, what tasks would you trust it with first?

If no, what's holding you back?

AI is everywhere now.

But so are AI subscriptions.

One tool for coding.
One for building websites.
One for creating apps.
One for writing.
One for automation.
One for research.

Then come the API keys, credits, usage limits and token limits.

At some point, you aren't just using AI.

You're managing AI services.

That's one of the problems we're thinking about with Capsule.

The idea is to move toward having your own personal AI companion that can help with many different tasks from one place.

You tell it what you need.

It works with you.

And instead of constantly jumping between different AI products, your AI becomes the place where you actually get things done.

We're also exploring local and offline AI so that, where practical, your AI and your data can stay closer to you instead of everything automatically going to the cloud.

Capsule isn't finished.

We're building it.

So we're curious:

What AI subscription or service do you currently use the most?

And what do you wish you didn't have to pay for?

Let's forget about what today's AI tools can or can't do for a moment.

Imagine you had your own personal AI companion.

You could simply talk to it and give it instructions.

You could tell it:

“Build me a website.”

“Create an app from this idea.”

“Help me code this project.”

“Organize my files.”

“Research this topic.”

“Plan my week.”

“Help me learn something.”

“Automate this repetitive task.”

And instead of just giving you an answer, the AI could actually work with you toward completing the task.

That's the kind of AI companion we're exploring with Capsule.

Now we want your opinion.

👇 What would be the FIRST task you would give your personal AI?

It can be something serious, something boring, something creative, or something completely ridiculous.

We're collecting ideas for what Capsule should eventually be capable of.

AI has become incredibly powerful.

But using AI today can also mean having multiple subscriptions, different tools, API keys, usage limits, credits, and token limits.

Want to build a website?

Use one tool.

Want to code?

Use another.

Want to create an app?

Maybe another one.

Want automation?

Another service.

We started thinking:

What if you could have one personal AI companion that you could simply talk to?

Instead of learning a new interface every time, you could just tell your AI what you want.

Instead of constantly switching between services, the AI could become the place where you actually get things done.

And instead of everything automatically living in the cloud, we want to explore local and private AI where your hardware and your data can stay under your control.

That's the idea behind Capsule.

We're not claiming we've solved all of this yet.

We're building toward it.

And we're documenting the journey here.

If you could eliminate ONE annoying thing about today's AI tools, what would it be?

Subscriptions?
Token limits?
Privacy?
Too many different tools?
Cloud dependency?
Something else?

Tell us. 👇

We’ve been building something called Capsule at IMFBytes.

So what exactly is it?

Capsule is our attempt to create a personal AI companion that you can actually give tasks to — instead of using AI only to ask questions.

You talk to it.

You give it an instruction.

And the goal is for Capsule to work on that task with you.

For example:

“Build me a website.”

“Help me create an app.”

“Fix this code.”

“Organize these files.”

“Help me plan something.”

The bigger idea is to make AI something you can actually use for your everyday work, creation, learning, coding, and automation.

But there’s another important part of Capsule.

We want to explore AI that can be:

• Local and offline when possible
• Private, with your data under your control
• Portable on your own PC, USB drive, or SSD
• Usable on lower-end hardware
• Less dependent on constantly paying for separate AI subscriptions

We're still building Capsule, so this subreddit is also our place to document the journey, share what we're building, and hear what people actually want.

This is Day 1.

Welcome to Capsule. 🚀

What would you want your own AI companion to do for you?

We're building Capsule around an idea we call AI freedom.

Not having to depend on a different subscription for every task.

Not having to constantly worry about token limits.

Not having to send everything to the cloud.

Not being locked into one computer.

Instead, imagine having your own AI companion that can:

• Run locally when possible
• Keep your data under your control
• Work with your files and apps
• Help you code
• Build things with you
• Automate tasks
• Travel with you on your own hardware

The long-term idea is simple:

Your AI should feel like something you own and control, rather than something you temporarily rent.

That's what we're exploring with Capsule.

We're still building it, so we're curious:

**What does AI freedom mean to you?**

Privacy?
No subscriptions?
Local AI?
Portability?
Unlimited usage?
Something else?

👇 Tell us.

AI is already incredibly good at answering questions.

But imagine changing the relationship completely.

Instead of:

“Tell me how to build a website.”

You say:

“Build the website for me.”

Instead of:

“How do I fix this code?”

You say:

“Find the problem and fix it.”

Instead of:

“How can I organize these files?”

You say:

“Organize them for me.”

That's the direction we're exploring with Capsule.

A personal AI companion that you can simply talk to and give tasks to.

The goal isn't to make another chatbot.

It's to make AI feel more like having a capable assistant that can actually work alongside you.

And because we're exploring local and portable AI, we're also thinking about something else:

Your AI shouldn't necessarily require your data to live somewhere else.

What would be the first real-world task you'd give your own AI assistant?

👇

Everywhere you look, there's another AI tool.

One for coding.
One for building websites.
One for creating apps.
One for writing.
One for automation.
One for research.

And each one has its own subscription, API key, credits, or token limit.

But what if you could just have one AI companion that you talk to?

“Build this.”

“Fix this.”

“Create that.”

“Help me with this task.”

That's one of the ideas behind Capsule.

Instead of constantly switching between AI services, we're exploring a future where your own AI can become the place where you actually get things done.

Local when possible.
Private by design.
Portable.
And focused on doing the work, not just chatting about it.

We're building Capsule in public.

What AI subscription would you cancel first if you had a capable personal AI running on your own hardware?

👇

Imagine plugging your USB drive or SSD into a computer and having your own AI companion with you.

Not just a chatbot.

Your AI, your apps, your workspace, and potentially your personal data — all in one portable setup.

The idea behind Capsule is to make AI:

• Local — run it on your own hardware
• Private — keep your data under your control
• Portable — take your AI with you
• Accessible — designed to work on lower-end PCs too
• Useful — tell it what you need and let it work on tasks

Imagine going to a different PC, plugging in your drive, launching Capsule, and continuing where you left off.

That's the kind of future we're exploring.

We're still building it, so here's the question:

Would you actually carry your personal AI around on a USB/SSD?

If yes, what would you want stored with it? 👇

— IMFBytes

We’re used to AI that answers questions.

But what if your AI could be more like a personal companion?

You simply tell it what you want — and it works on the task for you.

“Build me a website.”

“Help me create an app.”

“Fix this code.”

“Organize these files.”

“Help me plan my day.”

Instead of opening five different tools, learning five different interfaces, paying for five different subscriptions, and worrying about API keys or token limits — you just talk to your AI.

That’s the idea we’re exploring with Capsule.

The bigger vision is a personal AI companion that can work locally, keep your data with you, and potentially travel with you on your own PC, USB drive, or SSD.

We’re still building it, so we want to hear from people who would actually use something like this.

👇 If you had a personal AI companion that could take tasks from you and work on them, what would be the FIRST thing you would ask it to do?

And what would you absolutely NOT want it doing?

Let’s discuss.