openrecall
OpenRecall is a fully open-source, privacy-first alternative to proprietary solutions like Microsoft's Windows Recall. With OpenRecall, you can easily access your digital history, enhancing your memory and productivity without compromising your privacy.
Access and search your digital history easily with a privacy-focused tool that captures and organizes your online activities.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeOpenRecall is a fully open-source, privacy-first alternative to proprietary solutions like Microsoft's Windows Recall. With OpenRecall, you can easily access your digital history, enhancing your memory and productivity without compromising your privacy.
openrecall has 2.9k stars on GitHub. It has been forked 190 times. openrecall is written mainly in Python. It has been in active development since 2024. openrecall is available under the AGPL-3.0 license. Its main topics are ai, alternative, history, macos.
What is openrecall?
OpenRecall is a fully open-source, privacy-first alternative to proprietary solutions like Microsoft's Windows Recall. With OpenRecall, you can easily access your digital history, enhancing your memory and productivity without compromising your privacy.
Is openrecall open source?
openrecall is an open-source project. It is released under the AGPL-3.0 license.
Is openrecall free?
Yes. openrecall is free and open source — you can use, modify and self-host it. Its AGPL-3.0 license is a strong copyleft: if you distribute a modified version — including offering it as a network service — your changes must be released under the same license.
What license does openrecall use?
openrecall is available under the AGPL-3.0 license.
What language is openrecall written in?
openrecall is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/openrecall-openrecall.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.