OpenHuman

OpenHuman is an AI-powered desktop assistant designed to bring your emails, documents, chats, and meetings together in one place. The main proposal consists of creating a persistent digital memory from everything you connect, so that you can consult tasks, retrieve context, and obtain useful summaries without having to jump between Gmail, Slack, Notion, and GitHub, for example.

Connection with your daily services

Right from the start, OpenHuman invites you to link the platforms you use for work, with connectors ready for services like Gmail, GitHub, Slack, and Notion. When you authorize these accounts, the app fetches the latest information and reorganizes it into a unified format so you don't have to export messages, copy links, or sort notes manually. This is especially noticeable when you handle several projects at once, because you can switch from an email with instructions to a GitHub issue or an internal conversation without losing the thread.

Memory tree and reusable notes

One of OpenHuman's most interesting aspects is its persistent memory, which functions more like a living archive than a simple chat history. All the information you add is summarized, broken down, and organized into a knowledge tree that connects people, topics, tasks, and past decisions, allowing you to revisit an old idea without having to remember everything from scratch. On top of this, compatibility with the Obsidian format makes it even more useful because you can open the local folder, review the notes generated by the app, correct them manually, and continue expanding that network of notes with your own observations.

Meetings, voice and active assistance

OpenHuman is not limited to written text, as it also incorporates voice interaction and features designed to help you in meetings. You can press the microphone button and make voice queries to request a summary of pending tasks, retrieve decisions from a previous conversation, or ask it to organize your priorities without typing a single word. In addition, the assistant can join a Google Meet meeting as another participant, which is very useful when you want it to take structured notes while you focus on the conversation. After your meeting, those notes do not remain isolated in an unformatted transcript, but rather become part of the memory tree along with everything else, which makes it much easier to go back to a meeting from days earlier and understand what was agreed, who proposed it, and what tasks remained pending.

Synchronization, models and local work

In daily use, OpenHuman is heavily focused on how it keeps all that information updated without you having to worry about refreshing each source manually. Periodic synchronization allows new emails, messages, or changes in your connected services to be integrated into the app's memory more or less continuously, and at the same time, local storage ensures that your knowledge base continues to reside on your device. When you ask it for a summary or make a more complex query, the system can route to external models to choose the most appropriate option for the task, but the overall feeling remains that of working on a personal repository and not on an ephemeral conversation in the cloud. Thanks to that, OpenHuman is a great fit for reviewing what happened during the week and for building a historical record of projects, clients, and meetings that remains useful over time.

My experience with OpenHuman

After installing OpenHuman, I started by connecting Gmail, GitHub, and a Notion account that I use to organize several projects in parallel. After a while, my recent emails, work notes, and several threads related to open tasks had been imported, so I used the voice button to ask for a summary of everything pending for that week. The response arrived in a very clear format, separating urgent matters, follow-up items, and reminders that I had left scattered across different platforms. The next day I sent the assistant to a Google Meet meeting, and when the meeting was over I got a fairly organized set of minutes inside the folder, which I then also opened with Obsidian to add a couple of manual comments. Afterwards, I repeated the query about that same project, and the app had already incorporated both my notes and what was discussed in the video call within the same context.

What I liked most about OpenHuman and what could be improved

· What I liked most: I enjoyed the way it turns emails, chats, and meetings into a connected memory that you can also review and edit from an Obsidian-compatible folder.

· What could be improved: Resource consumption can be high during heavier synchronizations, especially when connecting accounts with a lot of accumulated history from day one.

Download OpenHuman and turn your email, chats, and meetings into an AI-powered memory that helps you regain context and better organize your daily work.