--- title: "SumizAI vs MiroThinker" url: "https://sumizai.com/alternative-to/sumizai-alternative-to-mirothinker.html" date: "2026-08-14T00:00:00+02:00" modified: "2026-08-14T00:00:00+02:00" description: "Looking for a MiroThinker alternative? SumizAI and MiroThinker side by side: price, licence, platforms and what each one actually does." tags: ["ai notes", "sumizai", "mirothinker", "alternative to MiroThinker"] --- # SumizAI vs MiroThinker Looking for a MiroThinker alternative? SumizAI and MiroThinker side by side: price, licence, platforms and what each one actually does. ## What MiroThinker is MiroThinker is an open-source search agent model built in Singapore for tool-augmented reasoning and real-world information seeking. The project's goal is to match the quality of experience offered by closed deep-research systems such as OpenAI Deep Research or Gemini Deep Research, but in a fully open form available for anyone to run themselves. Key features: MiroThinker is built around the idea of tool-augmented reasoning — instead of relying solely on knowledge baked into the model's weights, the agent actively uses external tools, such as web search, to gather the up-to-date information needed to answer complex questions. The project is released under the Apache-2.0 licence, granting broad freedom to use, modify, and distribute the code, including for commercial purposes. The model can be run locally on your own hardware on Windows, Linux, or Mac, or self-hosted on a server, keeping the entire search-and-reasoning process under the user's full control. Who it's for: MiroThinker is aimed at AI researchers and engineers who want to experiment with agents capable of deep research without depending on closed, commercial APIs. It's a tool for technical teams building their own solutions for automated information gathering and synthesis, where transparency of the model's behavior and the ability to adapt it to specific needs matter. Use cases: An analytics team can use MiroThinker to automatically search across many web sources and prepare an initial report on a specific market question, before the analyst moves to more detailed manual verification of the key findings. A developer building a custom research tool can use MiroThinker as an open foundation on top of which they build an interface and integrations specific to their organization, instead of paying for access to a closed API. A researcher reviewing the literature on a new topic can use the agent to get an initial map of the available sources and the main threads of discussion in that field. Pricing and business model: As an open-source project under the Apache-2.0 licence, MiroThinker is completely free to use — there's no licensing fee for the model itself. The real cost for a user remains the compute needed to run the model locally or on a self-hosted server, and using external search tools can add extra fees for those services' APIs. Limitations and what to watch for: The quality of tool-augmented reasoning depends heavily on the quality and availability of the external tools the agent uses — limited access to good search sources can lower the quality of the final research output. As more of a research project than a fully polished commercial product, MiroThinker can require more setup and integration work than ready-made, paid Deep Research offerings. AI notes from a research session: During one deep-research session, the MiroThinker agent might review dozens of sources, only some of which end up in the final report — the rest of the findings, counterexamples, and sources deemed less relevant usually just disappear once the session ends. Saving such side findings as separate ai notes takes manual work outside the agent itself, since MiroThinker focuses on delivering the final answer, not on building an archive of the process. What to check before choosing: Before deploying MiroThinker, check which search tools the agent actually uses by default and whether they require separate API keys or fees — research quality is only as good as the sources the agent can reach. It's also worth testing the agent on a question from a field you know well, to judge the reliability of its conclusions before trusting it on a less familiar topic. Teams keeping ai notes from such benchmark tests can more easily judge whether the agent's quality improves across successive versions of the project. In everyday practice: An investigative journalist preparing a major story might task MiroThinker with an initial map of publicly available documents and press coverage on a topic, cutting the research phase from days to hours, though final source verification always stays with the human. A product team analyzing the competitive landscape can use the agent for a regular, recurring review of changes on competitors' sites instead of doing it manually every week. Analysts who compare their ai notes from every research session against each other notice more quickly when the agent starts skipping a category of sources, and can tune queries accordingly in later sessions. It's worth adding that open-source research agents are increasingly closing the gap with commercial counterparts, but it's still worth verifying critical findings against primary sources, especially on topics where wrong information could carry real consequences. Position among research agents: MiroThinker competes directly with the closed deep-research features offered by large AI labs, trying to match their quality while staying fully open-source. For organizations that avoid dependence on one closed model vendor as a matter of principle, an open agent like MiroThinker offers an alternative that keeps control over which search tools and which base models actually drive the research process. One more thing: the agent works best with a clearly narrowed research question — the broader and more general the query, the harder it is for the agent to judge which sources are actually relevant, so it's worth taking a moment to sharpen the question before launching a research session. Finally, it's worth noting that MiroThinker's open nature also allows auditing the agent's reasoning process step by step, which closed, commercial deep-research systems usually don't allow — a meaningful advantage for use cases where you need to show how a given conclusion was reached. Teams using the agent daily also often develop their own set of proven starting queries that lead to better results than questions formulated spontaneously, without prior thought given to the query's structure. Comparison with SumizAI: MiroThinker and SumizAI operate on different levels: MiroThinker is an open engine for an agent to carry out deep research using external tools, while SumizAI is a finished app that turns a conversation with an AI model into ai notes saved as Markdown files. A researcher using MiroThinker to gather information could store the final conclusions and summaries as ai notes in SumizAI, separating the data-gathering stage from the stage of building a personal, searchable knowledge base. Anyone who needs an open agent for deep research with full control over the infrastructure should reach for MiroThinker; anyone who wants valuable answers from AI conversations to automatically become organized ai notes will find that in SumizAI. **Key facts** - Price: Free - License: Open Source - Origin: Singapore - Category: Large Language Model (LLM), AI Chatbot ## What SumizAI is A note-taking application built around a conversation with an AI model. You ask a question, the answer streams back, and the answers worth keeping become Markdown notes — filed into a vault that is a folder on your own disk. A vault is a directory holding `base.md`, a generated table of contents up to six levels deep, and a `notes/` folder with one `.md` file per note. Before a note is written it is checked against the ones already there, so the fourth note about the same idea gets merged instead of added. Links between notes are ordinary Markdown links to files that exist. The model is never ours: you bring your own API key to one of seven providers — Anthropic, OpenAI, Gemini, Groq, OpenRouter, a local Ollama or your own server — and pay that provider directly. A question sends the table of contents plus at most five relevant notes within a 24,000-character budget, and the app shows you which five it used. ## Where they differ - MiroThinker is a place to have the conversation. SumizAI is not a chatbot — the conversation is the input, not the product. What comes out of it is a `.md` file with a title, a place in `base.md` and a duplicate check against the notes already in the vault. If you only want to talk to a model, you do not need SumizAI. - AlternativeTo's description of MiroThinker does not mention an AI model. That is the whole starting point in SumizAI: you have a conversation with a model on your own API key, and the answers worth keeping become notes without you filing them. - MiroThinker is open source (Apache-2.0), and SumizAI is not. If reading the source is what decides it for you, that is a real argument for MiroThinker. The guarantee SumizAI offers instead is structural rather than legal: the notes are Markdown files in a folder you chose, so they open in any editor whether or not the application is running. - AlternativeTo's description of MiroThinker does not mention Markdown, so check what format your notes end up in before you fill it up. SumizAI writes standard `.md` files to a folder you picked, and an unpaid account can still export all of them. - MiroThinker can be self-hosted. SumizAI has nothing to host on the desktop — the vault is a folder on your machine — and if you want the model on your own hardware too, a local Ollama is one of the seven providers it speaks to. - AlternativeTo lists no mobile version of MiroThinker. SumizAI runs on macOS, Windows, iOS and Android. - Both search. SumizAI's search reads the whole note — title, summary, body and the original question and answer — rather than titles alone. Full side-by-side comparison table and pricing: [https://sumizai.com/alternative-to/sumizai-alternative-to-mirothinker.html](https://sumizai.com/alternative-to/sumizai-alternative-to-mirothinker.html)