{"repo":"josancamon19/trace","free":true,"listed":false,"github":"https://github.com/josancamon19/trace","clone":"git clone https://github.com/josancamon19/trace.git","description":"Trajectory Recording and Capture Environments","language":"Python","stars":19,"topics":["browser-agent","playwright","rl-environment"],"license":null,"category":"scrapers-browser-automation","readme_excerpt":"TRACE: Trajectory Recording and Capture Environments Browser agents are hill climbing in the wrong direction. This repository contains the full collection → replay → evaluation stack described in the research notes here: https://joan.so/learning/ml/research/browser-automation/0+main. The goal is to make it trivial to capture thousands of long-horizon, economically valuable browser trajectories, replay them offline, and grade agents with granular checkpoints. Dataset A sample dataset of captured environments is available on Hugging Face: 🤗 josancamon/trace-environments — 6 real-world tasks with full trajectories, DOM states, and replay bundles. Each task includes: - Golden human trajectory with step-by-step actions - DOM snapshots at each interaction point - HAR recordings for offline replay - Screenshots and video recordings - Checkpoint annotations for partial-credit evaluation Highlights - Record real human browsing with stealth Playwright, HAR capture, DOM diffs, screenshots, and screen video. - Package every task as a reproducible sandbox ( data/captures/... ) that can be replayed without touching the live internet. - Run Browser-Use agents or OpenAI Computer Use (CUA) through the same evaluation harness. - Judge outputs with binary + checkpointed LLM graders powered by DSPy. - Ship the workflow to non-technical collectors through a Tk desktop app or PyInstaller bundle. - Upload datasets to GCS / Hugging Face with ready-made scripts. Example Tasks 🏠 Airbnb — Find an apa","default_branch":null,"files":null,"tree":[],"storefront":"/r/josancamon19","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/josancamon19/trace/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}