Okara lets you use 30+ powerful open-source AI models without dealing with infrastructure setup. The best models like Kimi and DeepSeek are too big to run on your laptop, we handle that for you. Switch between models, search Google, Reddit, X, YouTube in your chats, analyze files, generate images, and work with your team. Everything's encrypted and we never train on your data
I'm Fatima, creator of Okara. I started Okara because I was frustrated with how hard it is to actually use the best open-source AI models.
Models like Llama, Qwen, and DeepSeek are super, but they're way too big to run on your laptop. Want to try them? You're looking at setting up cloud infrastructure, managing GPUs, dealing with DevOps... it's a whole thing. Most people never bother.
So we built Okara:
Think of it as your workspace for latest and heaviest open-source models. We handle all the infrastructure headaches so you can just start using these models. Here's what's inside:
Built-in tools – Search Reddit, X, and YouTube right in your chat. Analyze files. Generate images. All in one place. (we have a dope agent dropping soon)
Team Workspace – Private AI chat for teams. Chat with open source models with shared context, memory and knowledge base.
Privacy built-in – Your chats are encrypted-at-rest, and we never train on your data
No setup. No GPU needed. Just instant access to models you'd otherwise never get to play with.
The future isn't "everyone uses one AI model." It's teams picking the right model for each job, one for coding, another for creative work, another for reasoning through complex problems. As open-source models get better (and they're getting really good), you'll want infrastructure you can trust with your actual data.
Try Okara and tell us how can we improve it for you.
Okara looks incredible! The ability to easily switch between 30+ models is a game-changer. How does the file analysis work with different file types – specifically PDFs with complex layouts?
🔐 Love the “encrypted + no training on user data” promise — that’s huge for team adoption. Curious: what kind of teams are seeing the most traction so far — research, product, or content workflows?
Interesting project. Can your service automatically determine which AI is best suited for a task and switch to it? For example, ChatGPT released photo processing yesterday, so it handles this task better than others. In a week, Kimi might do it even better. An ordinary user—even an AI expert—can’t keep up with all the changes. It would be great if a service could solve this problem.
Love the idea of bringing multiple open-source models into one private workspace — curious how people here decide which model to use for which task in practice?
This solves a real pain point for devs who want to test multiple models quickly. Regarding the 30+ models, how quickly are you able to add new releases (like when a new Qwen version drops)?
Congrats on the launch! Love the idea of one workspace to experiment with multiple open-source models without worrying about infrastructure. What’s the next feature you’re most excited to ship?
Congrats on the launch!!! The ability to switch between different models without losing context is much needed and adding a privacy layer on top of it is great. Kudos to the team.
Okara makes it easy to use powerful open-source AI models like GLM without the need for complex setup or infrastructure! With built-in tools and a focus on privacy, it looks like a great solution for anyone wanting to dive into AI without the technical headaches.
Looks clean. I've been manually switching between Perplexity for web research and a local client for code generation, which breaks my flow. If the file analysis works well with large PDF/codebase contexts without timing out, this could consolidate those two tabs. Will give it a spin later today to see how it handles a complex repo upload.
Absolutely love this product! Ended up cancelling all my other LLM subscriptions as a result.
okara has been awesome. really enjoyed using kimi k2 thinking + deepseek 3.2 on it.
Congrats on the launch. This is super interesting. Once I wanted to try GPT-OSS modal and took me 3+ hours to set it up just it up. I have recorded a quick demo about Okara for my on going product demo series, please do check it out. https://x.com/Shadabshs/status/2000965974519111739
Feels calm and focused compared to bigger platforms. Session history search might be a useful addition/
Great for people who care about data ownership. Usage stats per model could help users choose better.
Hey Product Hunt! 👋
I'm Fatima, creator of Okara. I started Okara because I was frustrated with how hard it is to actually use the best open-source AI models.
Models like Llama, Qwen, and DeepSeek are super, but they're way too big to run on your laptop. Want to try them? You're looking at setting up cloud infrastructure, managing GPUs, dealing with DevOps... it's a whole thing. Most people never bother.
So we built Okara:
Think of it as your workspace for latest and heaviest open-source models. We handle all the infrastructure headaches so you can just start using these models. Here's what's inside:
30+ open source models – We add new ones fast!!!
Built-in tools – Search Reddit, X, and YouTube right in your chat. Analyze files. Generate images. All in one place. (we have a dope agent dropping soon)
Team Workspace – Private AI chat for teams. Chat with open source models with shared context, memory and knowledge base.
Privacy built-in – Your chats are encrypted-at-rest, and we never train on your data
No setup. No GPU needed. Just instant access to models you'd otherwise never get to play with.
The future isn't "everyone uses one AI model." It's teams picking the right model for each job, one for coding, another for creative work, another for reasoning through complex problems. As open-source models get better (and they're getting really good), you'll want infrastructure you can trust with your actual data.
Try Okara and tell us how can we improve it for you.