I'm not trying to be obtuse, and correct me if I'm wrong, but "context" is just words, often rendered as markdown because it's easy for both LLMs and humans to produce and edit. Since its in a database and they're not necessarily full documents, I'll use the phrase "markdown snippets" for now. Feel free to quibble with the phrasing, I'm trying to understand what it does.
You save 2 respectability points by using postgres over nosql. (joke)
> depending on their role/group assignment, its available to their AI client to recall
So you generate/extract markdown snippets from the local context of each agent along a few axes like: what problem the user is working on and their approach, what role they're acting as and tools they're using, etc, and store those snippets in a postgres db with indexes over the category.
So how is that then exposed to the receiving agents? Is it fully opt-in / pull only? Or do they get some related threads automatically injected in their context. What does it look like? "Jan was working on something similar yesterday, her agent found these docs helpful: a.md, b.md" ?
You save 2 respectability points by using postgres over nosql. (joke)
> depending on their role/group assignment, its available to their AI client to recall
So you generate/extract markdown snippets from the local context of each agent along a few axes like: what problem the user is working on and their approach, what role they're acting as and tools they're using, etc, and store those snippets in a postgres db with indexes over the category.
So how is that then exposed to the receiving agents? Is it fully opt-in / pull only? Or do they get some related threads automatically injected in their context. What does it look like? "Jan was working on something similar yesterday, her agent found these docs helpful: a.md, b.md" ?