Automate Cursor agent trace export to Hugging Face
Session from merchantscroll-traces on Hugging Face by vedalken · MIT · condensed by Coders Talk
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1msession
1interventions
GOAL
Save Cursor agent chat transcripts to Hugging Face, first manually then via an automatic sessionEnd hook, with review/redaction before publishing and a proper dataset card.
- +0Prompt · +0I want to save my cursor traces to hf. How can I do?
- +0mAgent did · +0mSearched repo and Cursor internals, found transcripts are stored locally as JSONL under ~/.cursor/projects/.../agent-transcripts, no built-in HF export exists.
- +0mPrompt · +0mI really want to automate it using a cursor hook
- +0mAgent did · +0mBuilt a sessionEnd hook (hooks.json, upload-trace-to-hf.sh, upload_trace_to_hf.py) that uploads transcripts to a configured HF dataset repo, reading the token from bashrc.
- +0mIntervention · +0mUser reported .bashrc threw a syntax error after sourcing it and asked the agent to fix it.Why: My bashrc broke after the token setup so I had to point that out and get it fixed before continuing.
- +0mPrompt · +0mI want to push to Hugging Face as traces all the conversations I had in this project (merchantscroll)
- +0mAgent did · +0mRefactored the upload script for bulk uploads and pushed all 14 merchantscroll conversations to the HF dataset.
- +0mFail · +0mDiscovered the uploaded format wasn't recognized by HF's agent-traces viewer (wrong layout and wrong JSONL schema), requiring a rewrite of the converter and re-upload of all 14 conversations.
- +1mPrompt · +1mIs there a way to review the traces before pushing them, to remove sensitive information?
- +1mAgent did · +1mAdded a staging/redaction workflow, made the dataset public, fixed a broken project link, added a proper dataset card with stats and a thumbnail, and added last-updated-at tracking to the card and metadata.
- +1mOutcome · +1mPublic HF dataset vedalken/merchantscroll-traces live with 19 converted trace files (14 conversations), redaction, staging review, dataset card with stats/thumbnail, and auto last-updated tracking via sessionEnd hook.
VERDICT
Next time I'd start by asking for the HF-native agent-traces format directly instead of discovering the hard way that Cursor's raw JSONL isn't supported by the viewer — that caused a full re-upload of all 14 conversations. Asking for a review/redaction step before publishing was the correction that actually mattered, since the dataset went public right after. Overall it got me a working, automated, reviewable pipeline, but it took a lot of trial and error with the HF format.