Creating “AI agents” is an area of enormous discussion lately - albeit the definition of an AI agent varies quite a bit.
Notion 3 AI agents got my attention recently among other reasons because I view Notion as a web version of Devonthink. I suspect if Devonthink had a web-centric philosophy it would have been Notion. And if Notion had been created only for the desktojp it would have been Devonthink. They both are enormously flexible systems to manage documents and personal information. Notion excels in being able to publish/share this information since it is web-based; Devonthink excels in privacy, data security, and management of enormous local data stores since it is so strongly desktop-based. Thus they complement each other; DT4 is the unquestionable center of computing for me, but I do use Notion at times when I need the web-centric features that it offers.
Anyway - Notion 3 recently was released with AI agents which automate almost anything Notion can do, from researching the web to reorganizing a Notion database. Its agent implementation is particularly interesting because it requires no coding and does not even require learning a GUI front-end; its agent implementation is entirely done via prompting. It even allows creation of complex repetitive multi-agent scenarios by simply typing the @ symbol, which brings up a selection of existing documents similar to the [[ feature in the Devonthink editor. That makes it easy to choose among a custom library of prompts which you can string together into an agent request.
So a Notion multi-agent scenario can be enacted with a prompt such as “Use @PubMed-Search to search for causes of low back pain. Then use @Spansh-Translator to create a second copy.”
I thought this would be useful in DT4 - and then I realized the capability exists now.
I created a markdown file with a very detailed prompt for how to search PubMed and the format to use for the output - this is a snippet of that file:
Then I created a second much shorter prompt to translate to Spanish
Finally I executed the “multi agent workflow” via DT4 Chat:
As requested, the agent workflow created two nicely formatted reports per my specifications, one in English and one in Spanish:
Next Steps
So a multi-agent workflow based upon prompting can indeed be created in DT4. Arguably this is similar to what can be done with scripting but it is a lot easier since it only uses natural language prompts.
But that said there are two DT4 features which I suggest would make such workflows considerably more practical -
1 - For this test, in the Chat I referenced the Prompt 1 and Prompt 2 markdown files via x-DEVONthink Item Links. It would be a lot easier if the chat window could accept [[ syntax for selecting an existing file similar to the Wikilink feature of DT4 in markdown files.
2 - I suspect complex agent workflows in DT4 would fail because of the existing timeout feature in DT4, which I understand to be 10 minutes for reasoning models or 5 minutes otherwise. One of the major features other agent software promotes is that an agent workflow can run autonomously for quite some time – 20 minutes for Notion, unlimited for some workflow software such as n8n. If there were a way to modify the timeout limit to a user-chosen duration that would make DT4 notably more useful for this purpose.






