New Mirothinker AI Agent is INSANE! 🤯

There's a new AI agent that just dropped and it's completely free. I'm talking about Myrothinker version 1. 5. This thing does what OpenAI charges you for. Deep research, web searches, code execution, all automated. It's open source, which means you can download it right now. You can run it on your own computer. You can modify it however you want. It competes with Google Gemini Deep Research. It competes with OpenAI Deep Research, except you don't pay a dime. The benchmarks are insane. This is going to change how we use AI agents. Let me show you everything. Hey, if we haven't met already, I'm the digital avatar of Julian Goldie, CEO of SEO agency Goldie Agency. Whilst he's helping clients get more leads and customers, I'm here to help you get the latest AI updates. And Julian Goldie reads every comment, so make sure you comment below. And today, I'm breaking down Miroinker. And this is probably the most exciting open-source release I've seen in months. Version 1. 5 just dropped in January 2026 and it's doing things that usually cost money with the big AI companies. We're talking full research automation, multi-step reasoning, web browsing, code execution, all in one package and it's completely free and open source. So, what exactly is

Maroinker? It's a search agent, but not like the chat bots you're used to. You give it a complex task and it figures out all the steps to complete it. It searches the web when it needs information. It executes code when it needs to process data. It summarizes documents. It does multi-step reasoning all without you having to prompt it every single step. The team behind this is called Myromind AI and they built an entire ecosystem. There's Myroinker which is the AI model. There's Myrroflow which orchestrates all the workflows. There's Myroverse which is a massive data set with 147,000 curated examples of AI agents solving real problems. And there's Myro Train and Myro RL for training your own version. Everything is open source. Now, let me tell you why

version 1. 5 is wild. This model has 30 billion parameters, which sounds big, but compared to GPT4 or Claude is actually small. Yet, the team claims it performs like it has a trillion parameters, and the benchmarks back this up. It's beating most open-source agents and competing directly with closed source ones. On benchmarks like HLLE, Browse Comp, and Gaia, which test real world agent capabilities, Myrothinker ranks at the top. The context window is 256,000 tokens. That's massive. You can feed it entire research papers, multiple documents, long conversation histories, and it remembers everything. This is crucial for deep research tasks where you need to maintain context over long workflows. Now, let me explain what

makes this different. Most language models just predict the next word. But Miroinker uses something called interactive scaling. Instead of just reading text, it learns by doing tasks. It makes a decision, calls a sees a result, evaluates whether that worked, then makes another decision. It's a continuous loop of think, act, evaluate, repeat. This is how humans learn. We try something, see what happens, adjust our approach. Miroinker does the same thing, and that's why it's effective at multi-step tasks. Most AI models struggle when a task requires more than a few steps. Myrothinker can handle up to 400 tool calls in a single task, which means 400 different actions in one workflow. Let me give you practical examples. Let's say you run a business

like the AI profit boardroom and you need to research your competitors. Normally, you'd spend hours manually visiting websites, taking notes, comparing features. With Mirror Thinker, you could say, "Research the top 10 AI automation communities, find their pricing models, analyze their features, examine their marketing strategies, and summarize what makes each one successful. " Mirrorinker would search the web, visit their websites, extract all the data, compare everything, and give you a complete report, all automated. Or let's say you need content ideas for your YouTube channel. You can say, "Find the top 20 trending AI topics on YouTube right now. Analyze which ones get the most engagement. Filter for topics relevant to business automation. Then give me a prioritized list of what I should create. " videos about mirrorinker would search YouTube data, analyze metrics, filter based on your criteria, and deliver a prioritized content calendar. Now, before I go deeper into the technical details, if you want to learn how to implement AI agents like this in your actual business, to save hours every week, to automate research tasks, to handle content creation, to streamline your workflows, you need to join the AI profit boardroom. We teach you how to use cutting and edge tools like Myrothinker. How to set up automation systems that actually work and how to scale your operations with AI. No fluff, just practical systems you can implement immediately. Link is in the description.

Let's talk about how Myrothinker compares to commercial agents. Open AAI has deep research. It's powerful, but it's completely closed source. You can't see how it works. You can't modify it, and you pay for every use. Google has Gemini deep research, and it's the same situation. It's locked behind their platform and you have no control over the system. Myrothinker is fundamentally different. You can download the entire model right now. You can run it on your own servers. You can see all the code. You can modify it for your specific use case. You can train it on your own data. You own the entire system. This is massive for businesses especially if you're handling sensitive data or need custom workflows. Let's talk about technical capabilities. Maroinker supports multiple tools out of the box. It can perform web searches through various APIs. It can execute code through platforms like ETB. It can analyze documents, transcribe audio, summarize long- form content, and the framework is modular, which means you can plug in your own tools. The model can make up to 400 tool calls per task. Most commercial agents tap out after 10 or 20 steps. Myroinker keeps going. It can handle extremely complex workflows that require dozens or hundreds of individual actions. Now, let's talk

about actually using this. First, you go to GitHub and search for Myromindai/MYroinker. The repository has everything you need. Complete documentation, installation instructions, benchmark scripts, example configurations. You'll need Python installed. Then you clone the repository and install the dependencies using pip or conduct. Let's talk benchmarks.

Myroinker version 1. 5 scores exceptionally high on HLE, which tests long horizon tasks. It performs well on browse comp which tests web browsing capabilities and it ranks at the top on GA which tests real world assistant tasks. These aren't easy benchmarks. They're designed to be challenging and test whether an agent can genuinely solve complex problems. What I think is really exciting is where this is heading. More businesses are going to adopt this because it's free and it works. We're going to see specialized versions trained for specific industries. Financial research agents, marketing agents, legal research agents, all of these are possible because the foundation is open- source and customizable. The community around Myro thinker is already growing rapidly. There's an active Discord where people are sharing configurations and results. There are custom tool integrations being developed. This is the power of open source. When everyone can contribute, everyone benefits. If you're thinking this sounds too technical, start small. Download the model, follow the quick start guide, run a simple research task and see how it performs. Then gradually expand your use cases, use it to automate competitive research, use it to gather data for content creation, use it to analyze market trends, the applications are endless, and because it's free, you can experiment without worrying about API costs. All right. If you want to learn how to actually implement AI agents like Myrothinker in your business, if you want to automate the time-consuming tasks that are holding you back, if you want step-by-step guidance on using these cutting edge tools, join the AI profit boardroom. We show you exactly how to use these systems. We give you the frameworks and we help you implement them in your actual business. And if you want the full process, SOPs, and over a 100 AI use cases like this one, join the AI success lab. is our free AI community. Links are in the comments and description. You'll get all the video notes plus access to our community of 40,000 members who are implementing AI in their businesses every single day. Myrothinker is proof that open-source can compete directly with the biggest tech companies. You don't need to pay for expensive research tools when you can run your own system that's just as powerful. Go check out the GitHub repository, download the model, join the community, and start experimenting. and let me know in the comments what you're planning to build with it because I want to hear your use cases.