auto-browser Releases
72 releases of ruvnet/auto-browser
- v2.1.6
A minor update focusing on task list improvements, development enhancements, and Docker production setup optimizations.
Feb 7, 2026
- v2.0.0
A major upgrade introducing AI-driven workflows, including an AI Assistant, MCP Server, API Keys, and editor plugin support.
Feb 3, 2026
- v1.24.0
A feature update focused on Hugging Face model compatibility, Gradio UI improvements, and Python execution robustness.
Jan 16, 2026
- v1.23.0
This release adds support for advanced AI models like GPT-5.1 and Qwen, introduces a Dialog mode CLI, and improves retry logic and error handling for agent execution.
Nov 17, 2025
- v1.22.0
This release refactors the PythonExecutor architecture, adds support for multiple remote execution environments (E2B v2, Modal), and fixes compatibility issues with various AI models.
Sep 25, 2025
- v2.1.5
This release focuses on fixing critical Docker infrastructure issues, adding Korean language support, and updating project dependencies.
Sep 25, 2025
- v2.1.4
This release enhances task management capabilities by introducing a user activity feed, improving Kanban board functionality, and optimizing database performance.
Aug 14, 2025
- v2.1.3
A major release featuring a complete authentication system overhaul, dark mode support, and significant improvements to code maintainability and performance.
Jul 23, 2025
- v1.0.3
This release marks a major milestone (v1.0) featuring a complete framework rewrite, new view modes, and support for custom views with units.
Feb 3, 2025
- v0.8.0
This release introduces significant UI and language improvements, including dark mode support, expected progress bars, and expanded language options.
Sep 12, 2024
- 0.2
This release introduces a simple pooling implementation, Conv1D and Conv2d modules, and support for the Mistral model. It also includes improvements to matmul operations, prompt handling, and Q8 weight quantization.
Mar 1, 2024
- 0.1
This marks the first functional version of Luminal, a deep learning framework focused on static computation and aggressive optimization. It currently allows running the Llama 1 7B model with valid text generation, though performance is expected to improve in future updates.
Aug 11, 2023