SumizAI vs Ensu

What Ensu is

What Ensu is

Ensu is a free, open-source AI chat app from Ente (known for encrypted photo storage), running entirely on-device — no accounts, no tracking, no usage limits. The language model runs directly on the phone or computer, and conversations never leave the device, setting Ensu apart from most popular chatbots that send queries to cloud servers.

Technical architecture

The app's core is written in Rust, giving predictable performance and memory use when running models locally on hardware far less powerful than cloud servers. Native mobile apps (Swift on iOS, Kotlin on Android) and a Tauri-based desktop app for macOS, Linux, and Windows are built on top of that shared core. An experimental web version also exists.

Key features

The app works even without internet access — the AI model is downloaded and run locally, so Ensu works just as well on a plane as in an area with no signal. Image attachment support lets you ask questions about photos without sending them anywhere off the device. No account means installation and first use take literally a moment, with no signup form or email confirmation.

Who it's for

Ensu appeals to people for whom the privacy of AI conversations outweighs the convenience of cloud alternatives — journalists working with sensitive sources, lawyers, people having private, confidential reflections. Anyone wanting an AI assistant available offline regardless of connection quality will also appreciate it.

Use cases

In practice Ensu works well while traveling without network access, for private reflection, or on a long flight, where a cloud chatbot simply won't work. Someone analyzing a confidential document can paste a fragment into the conversation without risking that the content lands on a third-party server — everything happens locally on the device.

Pricing and business model

Ensu is entirely free and open source — there are no paid plans or usage limits, which is possible precisely because computation runs on the user's own hardware rather than the provider's costly cloud infrastructure. That's a business model that sets Ensu apart from most competing chatbots, which have to cover server costs through subscriptions or ads.

Limitations and what to watch for

A model running locally on a phone or laptop is inherently less capable than the largest cloud models trained on huge server clusters — answers can be simpler on very complex tasks. Encrypted backups and cross-device sync are announced but, at the time of writing, not yet fully available, so a conversation stays tied to one device.

AI notes without leak risk

Ensu offers no built-in export of conversations as organized notes, but thanks to local processing, any answer worth keeping as an ai notes entry can be copied without worrying that the content passed through an external server along the way. For people building an archive of ai notes on sensitive topics, that's a meaningful difference from cloud chatbots.

What's worth checking before choosing

Before installing, check the local model's hardware requirements against your device — an older phone or a weaker laptop can generate answers noticeably slower than a model running on a cloud provider's servers.

Community and project development

Ente, the team behind Ensu, is previously known for its encrypted photo-storage app — moving into local AI chatbots is a natural extension of the same "your data stays with you" philosophy, applied this time to conversations with a language model instead of photos. The open-source code lets the community independently verify that the app really doesn't send anything off the device, something that's hard to confirm in closed, commercial chatbots. People building their own ai notes archive from such local conversations can additionally review the source code before trusting the app with truly sensitive topics.

Bottom line

Ensu is a free, local AI chatbot with no accounts and no data sent to the cloud, ideal for people who put privacy first. Anyone who wants ai notes from such conversations to land automatically in a searchable archive should consider an additional tool built around that workflow, since Ensu doesn't offer one on its own.

Comparison with SumizAI

Ensu and SumizAI differ in processing model and scope. Ensu runs a smaller model directly on the user's device, with no lasting conversation archive and no choice of AI provider. SumizAI turns conversations with an AI model into these notes — answers worth keeping land automatically as Markdown files in a vault the user owns, and the model itself is chosen from seven providers, including a local Ollama for a similar offline approach, on the user's own API key. Anyone who wants maximum privacy from a simple offline chat will pick Ensu; anyone who wants these notes from AI conversations to build a lasting, searchable archive regardless of the chosen model provider will find SumizAI the better-fitting tool.

That is our reading of the record. For AlternativeTo's own wording, see its page for Ensu — the facts above were read on 2026-08-16.

Ensu in depth

An offline assistant from the people who make Ente Photos

Ensu is the fourth product line from Ente Technologies, the company behind the end-to-end encrypted photo service Ente Photos, the two-factor code manager Ente Auth and the file vault Ente Locker. It was announced on 2 March 2026 in a post signed by Manav and Prateek, and the framing was unusually political for a launch note: the team argued that large language models are too consequential to be left in the hands of a few large companies, listing privacy erosion, vendor lock-in and the potential for large-scale manipulation as the reasons they wanted a model that answers to nobody. Their credibility for the attempt comes from Ente Photos, which already performs face recognition and semantic search locally on the user's device rather than on a server.

What Ensu actually is, in the developers' own framing, is a chat application that runs entirely on the machine it is installed on, at zero cost and with nothing leaving the device. There is no account, no sign-up, no tracking and no usage cap, because there is no server involved in generating a reply. The company describes it as a first step toward a private personal model that accumulates context about its owner over time, which is a considerably more ambitious destination than the current build represents.

Every platform at once, all of it in beta

The platform coverage is the widest in its category and unusual for a first release. Desktop builds exist for macOS as a universal disk image, for Windows as an x64 installer, and for Linux as AppImage, DEB and RPM packages. Mobile is covered by an Android release on Google Play and as a directly downloadable APK, plus an iOS build on the App Store; tablets on both platforms are supported. The Android package identifier is io.ente.ensu. Everything is distributed from the same GitHub release tags as the rest of the Ente monorepo, so a Linux user can pull the exact artefact without going through a store.

The version number is the honest part of the story: at the time of writing the release is 0.1.19, and the company calls it a beta and a checkpoint rather than a finished product. That should be read literally rather than as modesty. The announcement openly concedes that Ensu is not as capable as ChatGPT or Claude, and lists the things it does handle well — reflective conversation, discussing books and writing, working with no connection at all, and attaching images to a prompt. Web search does not exist.

The model question, which is the app's weakest documentation

Neither the product page nor the announcement names the model that ships inside Ensu, states its parameter count, or documents the hardware needed to run it comfortably. This gap is the single most frequent criticism in the AlternativeTo comments. Users there report that the build offers one model of roughly five to six gigabytes with no way to pick a different one, that file attachments are limited to images, and that there is no published information about what the underlying model actually is. For anyone who cares about which weights are answering their questions — which is precisely the audience a privacy-first local assistant attracts — that omission is awkward.

The practical consequences follow from the size. A download in that range is impossible on a metered connection and uncomfortable on a phone with modest storage, and inference at that scale will be slow on older hardware and noticeably warm on a laptop. Against that, the trade is total: no token accounting, no per-message cost, no outage, no terms-of-service change that can alter what the assistant is willing to discuss next month.

Sync exists in the code but is switched off

One of the more interesting disclosures in the launch post is that end-to-end encrypted sync and backup of conversations across devices is already implemented, and was deliberately disabled for this release. The team wanted feedback on the product's direction before committing to it. Given that Ente's entire business is end-to-end encrypted storage, this is the feature where they have the most existing machinery to reuse, and its absence is a choice rather than a limitation. For now, a conversation started on a laptop does not appear on a phone.

The roadmap is equally undecided and stated as such: three candidate directions were floated — a specialised note-taking surface where the model suggests as you write, an Android launcher integration, or a personal agent with persistent memory and task handling. Publishing three mutually exclusive options rather than a plan is refreshingly honest, but it also means nobody adopting Ensu today can predict what it will be in a year.

Licence, source and project health

The licence recorded for Ensu is AGPL-3.0, and the code lives in the shared ente/ente monorepo alongside the company's other clients. That repository carries roughly 28,350 stars, 1,757 forks and 327 open issues, though those figures describe the whole Ente project rather than Ensu's slice of it — the photo client accounts for the overwhelming majority of that history. The company is US-registered and was founded by Vishnu Mohandas. Ente sells paid storage plans for Photos, which gives the organisation a revenue source independent of Ensu; the assistant itself is free and no paid tier has been announced.

Reception is mixed in an informative way. On AlternativeTo the entry has gathered thirty-one likes and three comments, with seventy-five alternatives listed against it, and it appears on several curated lists of privacy-respecting and local-inference software. The Apple App Store average sits at 3.82, which is markedly lower than the ratings of polished commercial assistants and consistent with a beta shipped to an audience expecting more finish than a 0.1.x release can give. The gap between the enthusiasm in the catalogue likes and the middling store rating is essentially the gap between agreeing with the project's politics and being satisfied with the current binary.

Who should install it now, and who should wait

Ensu makes sense today for someone who wants a local assistant on Linux or Windows without assembling a runtime and a model file by hand, for someone who already trusts Ente with their photos and wants the same posture applied to chat, and for anyone who needs an assistant that functions with the network switched off. It is also a reasonable pick for people who want to support an AGPL-licensed alternative to hosted assistants on principle.

It is a poor choice for anyone who needs to select between models, run a model they have chosen themselves, attach a PDF or a spreadsheet, search the web from within the chat, or keep a conversation in step across two devices. Each of those is either absent or switched off. It is also unsuitable for hardware that cannot spare several gigabytes of storage and the memory to hold the weights. The most accurate reading is that Ente has shipped an early public checkpoint of something it intends to grow, and has said so plainly; treating it as a finished replacement for a hosted assistant will disappoint. Catalogues such as SumizAI are useful here mainly for separating projects at this maturity level from products that have already settled their feature set.

Product page: ente.com

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.

Every answer kept this way becomes one of these ai notes, ready to search again months later without hunting back through old chats.

Side by side

Where they differ

• Ensu 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.
• Ensu is open source (AGPL-3.0), and SumizAI is not. If reading the source is what decides it for you, that is a real argument for Ensu. 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 Ensu 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.
• Ensu advertises encryption. SumizAI answers the same worry a different way: on the desktop the notes never leave your disk, and the material a question sends to the model is capped at the table of contents plus at most five notes — and the app shows you which five it used.

Which one to pick