Twitter/X

Clement Delangue (2026-04-07) announced he’s publishing open-source agent…

Brief

Clement Delangue (2026-04-07) announced he’s publishing open-source agent traces—including 150M tokens from NousResearch’s Hermes harness with Kimi-K2.5 and GLM 5.1—pointing to a Zach Mueller/@LambdaAPI Hugging Face dataset and noting badlogicgames’ Pi traces. He exports data from Hermes, OpenCode, and Claude via traces.com and urges others to share traces to build a crowdsourced dataset for open-source frontier agents.

Source evidence

title: @ClementDelangue: Very cool open-source traces from @TheZachMueller @LambdaAPI: huggingface.co/datasets/lamb…

150M to...
author: @ClementDelangue
contenttype: tweet
publication: Twitter/X
published: 2026-04-07T17:57:18+00:00
source
url: https://x.com/ClementDelangue/status/2041576063575212379

word_count: 148

Very cool open-source traces from @TheZachMueller @LambdaAPI: huggingface.co/datasets/lamb…

150M tokens for @NousResearch's Hermes harness with Kimi-K2.5 & GLM 5.1 that was just released!

clem 🤗 (@ClementDelangue)

We keep saying we want open-source frontier agents.

Fine. Then let’s build the dataset.

@badlogicgames, creator of Pi, just shared some of his agent traces used to build Pi on @huggingface. I’m now sharing some of mine too, exporting them from @hermes, @opencode, and Claude via @tracesdotcom, and I’ll keep going.

Why this matters: one of the biggest bottlenecks for open-source agent models is the data. And all of us are generating that data every day through our conversations with agents.

If enough builders share even a slice of their traces publicly, we can create the largest crowdsourced open dataset for agents.

Time to put your tokens where your mouth is and give a chance for open source to win!

— https://nitter.net/ClementDelangue/status/2041189872556269697#m