[jaboostin]

Graphiti is interesting because it’s ingesting episodes (discord chat messages), extracting facts and relationships, and then allows the agent to query that back, keeping the relationships in tact. So rather than a flat list of vectors related to a search term, the agent can essentially walk from one fact/concept to another. While plain vector search says something exists, the edges in the graph denote how/why it exists and provide extra context.

It’s a bit frightening in practice because it starts building up “knowledge” of what everyone in our group is interested in (games, hobbies, food) and their personalities, politics, etc. Sonnet 4.6 in particular tends to query the graph and make jokes, matching the vibe on discord.

On a more serious use-case: it also stores system topology in the graph so, while it does document the system in various READMEs and CLAUDE.md files, the graph provides a fast at a glance reference for how the systems interact. I have no evidence but I imagine this could be useful and more dense / token efficient than massive documentation, even for products, features, etc.

[mcheemaa]

Oh I actually just looked at Graphiti and it looks really cool. I will try to see if Phantom can utilize this. Great work you guys