This is extremely generous of Niels. I'll consider doing the same.
The agent of the future will continual learn from user interactions and the tasks it has worked on since day 0. There is so much models can learn from their environment. High quality data for free.
If we want open agents with great world models we need public datasets with massive amounts of agentic interactions. With terminals and with users.
For that reason I am releasing my personal 16k user turns, collected over the last few months.
Alongside I releae share-codex. The tool scrapes your agents local session database, lets you choose which traces to publish, and uploads them to HF. Easy to setup and run!
If you want to try it and check out my traces, links in the comments.



