DataMoat Review (2026): Pricing, Features & Honest Verdict

TLDR

DataMoat is a free, open-source desktop app that captures, encrypts, and makes your AI work history searchable on-device. It is the rare privacy tool that does exactly what it promises with no catch. Best for: developers and AI power users who want a private local backup. Price: Free, open source. Rating: 8.4/10.

What is DataMoat?

DataMoat is a desktop app that captures your AI work history and stores it locally, encrypted, on your own machine. It pulls in sessions from ChatGPT, Claude, Codex, Cursor, DeepSeek, Qwen, and OpenClaw, then builds a searchable index of your prompts, tool outputs, files, and decisions. The idea is simple: the work you do inside AI tools is valuable, and most of it quietly disappears from the tool’s own history. DataMoat keeps an encrypted copy before that happens.

The project is open source, built by Max Ng and published on GitHub as max-ng/datamoat. It markets itself as an “enterprise AI work black box plus private knowledge base,” but at its core it is a personal data ownership tool. Everything runs on-device. Your encryption keys never leave your machine, and DataMoat is explicit that it is not a transcript cloud service.

We dug into it because the problem it solves, losing context across a dozen AI tools, is one almost every heavy AI user has hit. You spend an hour with Claude refining a plan, switch to Cursor to build it, and a week later the original reasoning is gone because the chat aged out or you cleared it. Multiply that across ChatGPT, Codex, and whatever else you use, and your most valuable thinking is scattered and impermanent. DataMoat treats that work as an asset worth keeping, not disposable chat. The timing matters too: as more people route real work through AI, the question of who owns that history is becoming serious, and DataMoat answers it by keeping the answer entirely yours.

What Are DataMoat’s Key Features?

Local encrypted capture

DataMoat captures supported local records from your AI tools and stores them in an encrypted memory archive using AES-256-GCM with a password-based unlock. The important detail is the word local. It only captures records that are already saved on your device, so it cannot pull down cloud-only chats. But for everything it can reach, the data sits encrypted on your disk, not on someone else’s server. The memory encryption keys are never sent anywhere, which means even a breach of some upstream service does not touch your archive. For anyone who has read one too many headlines about chat logs being used for training, that on-device guarantee is the headline feature.

Cross-tool search

Once captured, your sessions become searchable. You can find a prompt you wrote three weeks ago in Cursor, a tool output from Claude, or a file you attached in Codex, all from one index. This is the payoff: instead of digging through seven separate apps that each forget things on their own schedule, you search one normalized archive. DataMoat builds that normalized index while keeping the raw source records intact, so you get fast search without losing the original fidelity of each session. In day-to-day use, that turns your AI history from a pile of dead-end chat windows into something you can actually mine for reusable context.

Hash-chained audit log

DataMoat keeps a hash-chained audit log that can detect changed or broken entries. In practice this means you can verify that your archive has not been tampered with, which matters if you are keeping AI work as a record for compliance or handoff. It is an unusual feature for a free personal tool and signals the project’s privacy-first intent. If you ever need to prove that a captured record is exactly what was generated and has not been edited after the fact, the audit chain gives you that confidence without trusting any third party.

Portable archives across operating systems

The encrypted archive is portable. You can move it between macOS, Windows, and Linux installs. DataMoat ships as a macOS DMG, a Windows ZIP, and a source install for Linux or development machines. It also preserves skills folder snapshots and supported attachment blobs, so linked files come along with the conversation. That portability means your archive is not trapped inside one machine or one vendor. If you switch laptops or move from Mac to Linux, your encrypted memory comes with you, which is exactly what data ownership should mean in practice.

How Much Does DataMoat Cost?

DataMoat is free. There are no subscription tiers, no premium plan, and no paywalled features. It is released free for personal and internal company use, with the source code public on GitHub.

That is a sharp contrast to the commercial tools in this space. Pieces for Developers has a free tier but charges $18.99/mo for its Pro plan to unlock premium cloud models. Rewind AI runs $19/mo. DoppelBrain is a hosted service with its own pricing. DataMoat undercuts all of them by simply being free and local, which is the whole pitch. If you were paying $19/mo for a memory tool purely to back up and search your AI history, DataMoat does that core job for nothing.

The trade-off is that free and open source means you are responsible for installs and updates yourself, and there is no support contract or SLA. For a single user who is comfortable installing a DMG or ZIP, that is a fair deal. For a large team that wants vendor support, onboarding help, and a phone number to call, the calculus changes. But for the individual it targets, the value is obvious: full ownership, strong encryption, and zero cost.

Who is DataMoat Best For?

Use DataMoat if you are a developer or AI power user juggling several AI tools and you want a private, on-device backup of everything you build. If you have ever lost a useful conversation because it scrolled out of a tool’s history, this is for you. It is also a strong fit for anyone who refuses to upload their work to yet another cloud, since DataMoat keeps keys and data on your machine. Privacy-conscious freelancers, consultants handling sensitive client work, and solo builders who treat their AI output as intellectual property will all get real value here.

Skip DataMoat if you need team collaboration, shared cloud memory, or a hosted service with support. It is a single-user local tool, so there is no sync between teammates. Also skip it if most of your AI history lives only in the cloud, because DataMoat can only capture records already written to your device. And if you are not comfortable installing a DMG or ZIP and want a guided, polished setup with a vendor behind it, a paid commercial tool will feel friendlier.

Best DataMoat Alternatives

Pieces for Developers

Pieces is the polished commercial cousin. It captures local memory and chat history, adds a coding copilot, and has a clean desktop app. The free plan covers local memory; the Pro plan is $18.99/mo (or $14.17/mo annual) and unlocks premium cloud models like GPT-5 and Claude Opus. Pick Pieces if you want a supported product with a smoother onboarding and do not mind paying for cloud model access. It is more feature-rich, but you give up DataMoat’s pure local-only, open-source ethos.

Rewind AI

Rewind takes a broader approach: it records your entire screen and audio, then lets you search your whole digital memory, not just AI chats. There is a free plan, and Pro is $19/mo. Rewind is more powerful and more invasive, since it captures everything you see. Choose it if you want total recall across all apps rather than a focused AI-history archive. If the idea of constant screen recording makes you uneasy, DataMoat’s narrower, opt-in capture will feel safer.

DoppelBrain

DoppelBrain is a hosted AI memory layer that captures context and shares it across the AI tools you connect. Setup takes a couple of minutes with no credit card. It is the opposite philosophy from DataMoat: cloud-based and cross-tool sync rather than local-only. Go with DoppelBrain if you value portability across devices and tools more than keeping everything on one machine. The trade-off is that your memory lives in their cloud, not on your disk.

Final Verdict: Is DataMoat Worth It?

DataMoat earns its 8.4 because it does one genuinely useful thing well and asks nothing in return. The pain of losing AI work history is real, and most solutions either cost money or push your data to a cloud. DataMoat is free, open source, encrypted, and local. For a developer or serious AI user, that combination is hard to argue with, and the rating reflects how cleanly it nails its narrow mission rather than any claim to be a do-everything platform.

It is not flawless. It is early, the install path is developer-flavored, it has no team features, and it cannot resurrect cloud-only chats. But none of those are dealbreakers for the audience it targets. If you spend your days inside ChatGPT, Claude, and Cursor, install DataMoat, point it at your machine, and stop losing your own work. We recommend it without hesitation for individuals, with the caveat that teams should wait for collaboration features or pick a hosted alternative.