WebCanvas
Enrichment pendingAll-in-one Web Agent framework for post-training. Start building with a few clicks!
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Overview
All-in-one Web Agent framework for post-training. Start building with a few clicks!
Capability facts
- Languages
- python
Source: github.language · Jul 11, 2026
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Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 11, 2026)
<a href="https://www.python.org/downloads/release/python-3110/"><img src="https://img.shields.io/badge/pythSource link
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README
WebCanvas: All-in-one Open-Source Framework for Building, Training, and Evaluating Web Agents
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Existing frameworks for web agent development are either offline and static, or operate within a fully reproducible environment with limited Internet dynamics. The WebCanvas project aims to pioneer the online development, training and evaluation of web agents. We offer a suite of toolkits for scaling and maintaining a KEY-NODE based web trajectories for web agents to support this endeavor. We welcome any constructive feedback on the project and look forward to partnering with you in developing agents for web tasks!
🔥 News
- [2024, December 26] v0.0.4 released! Major updates include:
- Introduced a new JavaScript event listener-based evaluation system that decouples evaluation methods from action space, enabling assessment of purely visually-grounded agents
- Integrated with Browserbase cloud browser environment for more stable and consistent evaluation
- Published and maintaining an up-to-date leaderboard for Mind2Web-Live benchmark, still far from saturation!
- [2024, September 9] Support evaluation for OpenAI new o1 models, includes o1-preview and o1-mini. Just set the 'planning_text_model' parameter to 'o1-preview' or 'o1-mini'.
- [2024, August 9] We're excited to announce the release of v0.0.3 of WebCanvas! This update introduces support for evaluation of data operations, such as caching data in process and outputting the final answer. You can now define and evaluate a broader range of web tasks using iMean Builder and WebCanvas. Additionally, we've introduced a new metric: US dollar consumption / key node completion(usd_efficiency_score), detailed in [this section]