I have been using AI Context Flow for almost a week now. At the beginning, I wasn’t sure how it would fit into my workflow, as I am already using Dart AI and a local knowledge vault, so its role wasn’t immediately clear. However, I am starting to see where it can be useful.

First, I want to highlight the reliability of the MCP. While I have had issues with other MCPs, Plurality is consistently available. This means I can always rely on AI Context Flow to save information and retrieve it quickly, which is very valuable.

The ability to organize content into buckets is very handy. There is also the option to share buckets, which is very interesting. I have not yet tested in detail how this works with someone who does not have a paid plan, but if it is possible to share a bucket temporarily and allow someone to connect via MCP, that would be extremely powerful. I hope this is supported, as it would be a great feature.

Another improvement would be the ability to view detailed documents. Currently, we can only see summaries in the studio, which are good, but I would appreciate having access to the full content and being able to explore it more deeply. A markdown editor at a later stage would be especially useful for this.

The sidebar chat is a bit slow, but it provides good answers, which is a strong point. I would also like to see more of the available models, such as DeepSeek, KIMI, and others, updated to their latest versions. This would not only improve performance but also help reduce costs.

For the Chrome extension, it would be great to have the ability to capture a page directly when creating a memory, instead of having to copy and paste manually. This would save a lot of time.

Overall, this is already a very useful application. The team is responsive, friendly, and seems committed to building something solid for the future. I am giving it five tacos and look forward to seeing how it evolves.