The confidential backend that powers Maple AI @TryMapleAI

Austin, TX
Secure enclaves are on the App Store. httpse has begun 👇
🚀 Big news: Maple AI, the world's most private AI assistant, is now available on iPhone and iPad! 📱 Apple users around the globe can now access Maple's secure, end-to-end encrypted AI productivity on the go. 🧵
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If your AI isn't end-to-end encrypted, assume a stranger is reading your chats. Because they are. Time to use an AI where no one reads your chats. Not even us.
New from 404 Media: humans are reading ChatGPT conversations OpenAI has hired an army of contractors who read real ChatGPT users' chats. I've seen internal docs, the review system, and real user prompts. Can contain very personal/sensitive information 404media.co/inside-project-l…
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We are excited to announce that DeepSeek-V4-Flash is available to all paid customers. It's incredibly fast and is great for a variety of tasks. Of course, it's secure and encrypted, giving you amazing power for your sovereign AI setup. @deepseek_ai Upgrade today to try it out.
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Give @TryMapleAI a go on the max tier if you want to privately use Kimi K3!
Kimi K3 is available today for Max users
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Kimi K3 is rolling out today. We're starting with Max users. If you want K3, get on Max. Grateful for our partnership with Tinfoil as one of our secure model providers.
After much ado over compute, Kimi K3 is finally live on Tinfoil! Thank you @Kimi_Moonshot for the fantastic model.
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I was quoted in The Wall Street Journal this week on the debate about open, sovereign AI. My quote: "It's interesting they're against distillation when they distill the entire Internet...I just think it's odd that they are now turning around and telling others not to do what they did." I’m stoked about the renewed momentum behind open weights. Many companies including Nvidia, Microsoft, Meta, OpenAI, and Google signed the Open Weights and American AI Leadership letter this week. We support these as well. Open-weight models from around the world are rivaling frontier systems in capability. What gets me excited is what this unlocks. When you combine open-weight models with trusted execution environments, you get something really powerful: state-of-the-art intelligence that is end-to-end encrypted and sovereign. No lab trains on your data. No lab reads your conversations, sells your data to advertisers, or builds competing products from the data you thought was secure. At Maple we're building on exactly this. Open-weight models running in TEEs, encrypted end to end, with long-term memory and personal data integrations. Your intelligence stays yours. The future of AI is open. Sovereign for one. Sovereign for all.
A backlash against Anthropic is brewing in Silicon Valley, rooted in concerns about the company’s product launches that compete with existing software providers and its advocacy for a closed AI ecosystem on.wsj.com/4fWlefn
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Maple is preparing for the release of a co-working agent. You install it locally and it works with your files, whether it's office work or building websites and apps. It's a turnkey solution, as easy as Claude Code, that keeps your data secure and private, no data sharing with closed AI labs. This is THE sovereign AI app for individuals and businesses who want powerful AI while retaining ownership of their information. Why build an agent into the Maple app when other agents already exist? Easy, we want to give you control over your work. We don't have a business plan that incorporates making money off our users' data. In the age of AI, your information, whether it's personal or company trade secrets, is the single thing that differentiates you from everyone else. We all have access to AI that can build a professional website for selling shoes. But your strategy and network for how you sell shoes should not be shared with your competitors. Sovereignty is the path to protecting what makes you, you. Maple sits at the intersection of Usability and Sovereignty. Maple gives you the best tools that are both easy to use and maintain your data sovereignty. Sovereign for one, sovereign for all. It has been a journey to get here. We brought to market the very first personal chatbot with end-to-end encryption using TEEs in late 2024. Prior to that there were proofs of concept but no full product offerings. Every other AI chat product on the market handled your data in plain text, either selling you a service to get your data or asking you to trust that they won't snoop on you. Quickly people found Maple and latched onto its open-source code and verifiable encryption. We didn't stop there. You may remember earlier this year we teased a product called "Maple Agent" and opened up a waiting list. That product is a mobile app that acts as your AI "friend", maintaining one long continuous chat, and getting to know you over time. I dislike using the word "friend" there, but it's the best way to convey the UX in a few words. AI is a tool, always has been, always will be. Any kind of friendly personality on top is just synthetic. In our testing, the UX of Maple Agent is really powerful for what it does. Think about the many short AI chats you have in your favorite app, whether it's looking up a historical fact or asking advice about a topic. With Maple Agent, those all go away in favor of the long-running chat with the friendly agent. It's like you have your own personal assistant who knows you so well and can look up anything for you. When I ask AI certain questions, I want to ask an expert who already understands my situation so I'm not repeating myself for the 100th time. That's the amazing value the personal agent brings to the table. We still see great utility for a personal agent like the "Maple Agent". Thousands of people on the waiting list, hoping to get their hands on it, agree that the concept is worth exploring and trying out. We were constrained in launching it due to a few circumstances, one of them being access to the scale of compute needed to power it. We have a clear path laid out for how to get there, but today is not the day to execute on that. It will be in the near future. Instead we have a different agent ready to go that we think is also incredible. We now have an agentic harness inside of the Maple Research app. This thing is a powerhouse. It even builds and publishes its own software releases. The agent in Maple Research works with your local filesystem, speaks to the largest open models running in TEEs, utilizes local models for certain tasks, is compatible with MCP tools, has an API for connecting to anything you need, and also supports the ACP protocol, which means it can be extended in the future to speak to other tools like Claude Code, Codex, and local models running on your own hardware. A big unlock for us was the Goose Development Kit, which powers the core of our agent harness. More on that to come as we publish articles and documentation later about the agent. The agent inside Maple Research doesn't have a name. At least not yet, not sure if it ever will. For now we call it "Chat Mode" and "Agent Mode". Think of this as the workhorse, the truck, the heavy lifter. Our other "Agent", the phone app, is your sidekick in your pocket, ready to help with quick things and ongoing conversations about life. I am incredibly excited about the Maple Research Agent. While I'm already seeing great results using it for internal work items, I'm especially thrilled about the personal health and wellness work it's doing for me. I know there are plenty of apps out there for compiling wellness data, but I'm having it build a tool tailored specifically for what I need, without the extra fluff. And none of my health data is being donated to the closed AI labs or sent to advertisers. I know that the AI logic is not being silently adjusted to fit the whims of a large corporation that has paid for product placement. It's me, state of the art AI, and my data. That's how I want it. Maple's new agent makes that possible. We can't wait for you to try it out. If you want early access, comment here, email us, reach out in some way. To those on the other agent waitlist, you're already in the queue. Thanks for reading this lengthy update. :)
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Mark Suman (@marksuman) is taking the stage at the Open Source AI Summit as a champion for self-sovereign AI. AI is becoming part of your thinking - Why would you let it stay a black box? - @TryMapleAI
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Spent the last year watching smart business owners feed their data into AI systems because it's the fastest way to get the job done. It's also the fastest way to hand your edge over to your competitor. Finally wrote about this and how to stop doing it: blog.trymaple.ai/the-end-of-…
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🚀 Maple is now on Windows File uploads, voice, and the Maple Proxy API, all end-to-end encrypted, backed by verifiable open-source code. That completes the lineup: web, iOS, Android, macOS, Linux, and Windows. Download it now!
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that Maple logo 🐐
Yesterday we announced the best AI rewards program of any card on the market. Earn 5%+ back in BTC when you spend with any of these top AI companies. Subscriptions, usage bills, credits, etc. are all eligible. Applies automatically for all Lava Card users.
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GLM-5.2 surpassed the performance of Opus 4.7. You can use it today for research, coding, and writing all with the security and privacy of Maple. No need to share your personal or company data with third parties. Start building with GLM-5.2 in Maple!
Introducing GLM-5.2: Frontier Intelligence, Open Weights - Significant improvements in coding and agentic tasks - Strong long-horizon capabilities with a 1M context window - Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong balance between performance and token efficiency - MIT-licensed open weights - Same API pricing as GLM-5.1 Tech Blog: z.ai/blog/glm-5.2 Weights: huggingface.co/zai-org/GLM-5… API: docs.z.ai/guides/llm/glm-5.2 Coding Plan: z.ai/subscribe Chat: chat.z.ai
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The first release version of @TryMapleAI since adding reproducible builds. v3.1.1 has fully reproducible versions of the client side ios/mac/android/linux tauri builds, with scripts to strip signed bytes out to compare against unsigned builds anyone can verify with the provided nix flake. This is likely one of the only tauri apps that has gone through this level of effort and it was no easy task. Codex 5.5 did most of it in an autonomous 48+ hour goal, with several follow ups mostly for linux dep/pathing issues. One of those cases of extremely difficult but verifiable work that ai agents can just go to town on until it works. I can't begin to fathom some of the byte-by-byte level processing and deduction/scripting skills that it took for this. I'll improve on some of the documentation to make this easier for anyone, but I'm simply amazed by this. In this supply chain attack world, efforts like this really do go a long way.
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A single search is rarely enough. Maple Research now keeps going until it has the full picture. And we’ve made web search free for all users. Go ahead and research life’s most difficult questions. Time to finally figure out how off-sides works in the World Cup. ⚽️
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Maple mentioned in @theinformation
Billions of devices with powerful GPUs. Get ready.
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We are proud to power the auth and cross-device sync for Agicash! Check it out.
Introducing Agicash and our first product: Bitcoin Gift Cards. The first Bitcoin gift cards made for @Square and @Shopify merchants like @PubKey. Built on @spark and @CashuBTC. Live now: agi.cash
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Never forget that OpenAI is run by the guy behind Worldcoin. They want all your financial, health, and personal data, linked to your eyeball scan. You can’t make this stuff up. Oh wait, Minority Report already did.
“Help me save money” is one of the core benefits people hope to get out of AI. With this launch we’re making this super easy. Similar to what we did for Health by letting you connect your health records, you can now do the same for financial records so ChatGPT can have the full picture and give you more informed answers.
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Honored to see Maple at the top of the Freedom Tech News section of the @HRF Financial Freedom Report this week.
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We support building AI in the open
We asked the CEO of HuggingFace @ClementDelangue what the risks of releasing powerful open source models are. He says restricting AI creates more risk than openness. "Six, seven years ago, at the time it was GPT-2, and there was already a lot of people saying that it was too dangerous to release in open source." "Mythos, when it was announced was crazy dangerous... In a few weeks or a few months, everyone is gonna be using Mythos, and not destroy the world as a result." "For cybersecurity, the biggest risk is that a few players have capabilities that other people don't have... If you make it more open, it's usually easier for defenders to react and make the whole system safer." "The idea of restricting a technology like AI based on risks is like saying, 'Some people can punch other people, so let's tie down everybody's hands.'" "Otherwise you slow down progress, you create massive gaps in terms of controls, in terms of capabilities, and you create actually additional risks."
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Brings clarity to the AI experience when you see them side by side. We don't monetize user data, so we don't need it. Ask all the tough and silly questions you want. Research the topics that are important to you without being concerned about advertisers and others combing through your chat history. AI is a tool for you. Maple makes it personal.
Things you say to your favorite chatbot land on the other side as plaintext. Employees and third-party partners can read them. Maple encrypts your prompt on device. The only thing that can decrypt it is a trusted execution environment. Our employees don't see it. Try it out ↓
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Things you say to your favorite chatbot land on the other side as plaintext. Employees and third-party partners can read them. Maple encrypts your prompt on device. The only thing that can decrypt it is a trusted execution environment. Our employees don't see it. Try it out ↓
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