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GitHub Repo Analysis: browser-use/browser-use


Executive Summary

The "browser-use" project is a Python-based tool designed to allow AI agents to control web browsers, facilitating tasks such as navigation and data extraction. Managed by the "browser-use" organization on GitHub, it has garnered significant community interest with over 31,000 stars. The project is in active development, with a focus on enhancing compatibility, documentation, and user experience.

Recent Activity

Team Members and Their Activities

  1. Magnus Müller (MagMueller)

    • 93 commits in the last 14 days focusing on metadata tracking, history improvements, and error tracking.
    • Involved in merging branches and updating documentation.
  2. Gregor Žunič (gregpr07)

    • 8 commits addressing page timeout errors and improving observability.
  3. Nino Risteski (NinoRisteski)

    • 1 commit fixing typos in documentation.
  4. Matic Zavadlal (maticzav)

    • 18 commits refactoring code for better structure.
  5. Morris Lee (k-w-lee)

    • 11 commits improving UI examples and refactoring code for readability.
  6. Codebeaver-ai[bot]

    • 14 commits adding tests for coverage improvement.

Patterns and Themes

Risks

Of Note

  1. Experimental Features: PR #805 introduces Camoufox for bot evasion, reflecting innovative approaches but requiring further validation.
  2. Adblocker Integration: PR #801 adds adblocking capabilities, enhancing user experience during automation tasks.
  3. Community Contributions: High volume of user-driven feature requests (#798, #665) suggests strong community engagement and demand for new functionalities.

Quantified Reports

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Recent GitHub Issues Activity

Timespan Opened Closed Comments Labeled Milestones
7 Days 42 51 40 0 1
30 Days 183 93 321 1 1
90 Days 320 125 868 119 1
All Time 365 131 - - -

Like all software activity quantification, these numbers are imperfect but sometimes useful. Comments, Labels, and Milestones refer to those issues opened in the timespan in question.

Rate pull requests



2/5
The pull request adds a README.md file with minimal content, merely linking to a YouTube video. While it may provide some value through visual representation, the contribution is insignificant in terms of code or documentation enhancement. The PR lacks thoroughness and detail, offering no substantial written instructions or context within the README itself. It fails to meet the criteria for a higher rating due to its limited scope and impact.
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2/5
The pull request addresses a minor documentation issue by correcting a redirect link. While this change is necessary for accuracy, it is insignificant in terms of impact on the overall project. The PR involves a single line change and does not introduce any new features or substantial improvements. Such minor fixes are common and do not warrant a high rating.
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3/5
This pull request introduces new unit tests and identifies two bugs in the production code. It adds four test files, improving test coverage significantly. However, only 4 out of 5 tests pass, indicating some issues still need resolution. The PR is valuable for enhancing test coverage and identifying bugs, but the existing test failure and the fact that it doesn't resolve the identified bugs fully prevent it from being rated higher than average.
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3/5
The pull request adds a small but useful example to the documentation, enhancing clarity for users configuring browser settings. However, it is a minor change, affecting only 7 lines of documentation without any code logic alterations or significant impact on the project. While it improves user understanding, it is not a substantial contribution to warrant a higher rating.
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3/5
The pull request introduces a new library, Camoufox, for bot evasion, which is a significant improvement over the existing solution. However, the implementation is still in its early stages, as indicated by the author's comments about wanting to test it further. The changes are straightforward and involve minimal code alterations, which suggests that the integration might not be thoroughly tested or complete. While promising, the PR lacks comprehensive testing and documentation, making it an average contribution at this stage.
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3/5
The pull request introduces a new parameter to the Agent.run() method, allowing for the execution of a custom Python function after each step. This change is potentially useful but not groundbreaking. The implementation appears correct and does not introduce any obvious flaws or security risks. However, the change is relatively minor in scope and significance, primarily affecting a single method with a small number of lines added. The inclusion of personal files (.python-version) in the commit history is a minor oversight but has been addressed by updating the .gitignore file. Overall, this PR is functional and well-implemented but not particularly significant or complex.
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3/5
The pull request adds a repository URL to the PyPI definition, which is a minor but useful improvement for users to easily access the repository from PyPI. The change involves adding a single line to the pyproject.toml file, indicating that it is straightforward and low-risk. However, the significance of the change is limited as it does not affect the functionality or performance of the project. It is a typical documentation-like update that is helpful but not critical, thus warranting an average rating.
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3/5
The pull request addresses a specific issue by enhancing the system prompt with more detailed instructions for handling situations where the agent might get stuck. The change is minor, involving only a single line modification, which aligns with existing structures and improves clarity. However, it is not a significant or complex change, nor does it introduce new functionality or fix critical bugs. Thus, it is an average update that improves documentation but lacks broader impact.
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4/5
The pull request introduces a significant feature by adding an adblocker to the Playwright instance, which is a valuable addition for users who require ad-free browsing. The implementation is well-thought-out, using uBlock Lite to comply with upcoming Chrome changes, and includes caching to avoid repeated downloads. The code changes are substantial, with clear documentation and logging for debugging purposes. However, the complexity of the change might introduce unforeseen issues, and there could be more comprehensive testing or examples provided to ensure robustness. Overall, it's a solid improvement but lacks the exceptional elements needed for a perfect score.
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4/5
This PR addresses a critical issue by ensuring proper cleanup of resources in an asynchronous environment, which is essential for stability. The changes are well-implemented with exception handling and have been verified through both automated and manual testing. The fix is significant as it resolves a runtime error that could disrupt the application's operation. However, the scope of changes is limited to a single file and primarily involves restructuring existing code, which prevents it from being rated as exemplary.
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Quantified Commit Activity Over 14 Days

Developer Avatar Branches PRs Commits Files Changes
Magnus Müller 2 22/21/0 93 31 5021
Gregor Žunič 1 2/2/0 8 16 3480
codebeaver-ai[bot] 3 11/2/10 14 5 3458
Matic Zavadlal 1 1/2/0 18 15 1104
Morris Lee 1 2/5/0 11 4 286
Rishabh Bhandari 1 1/1/0 1 1 42
WeiBing 1 2/2/0 2 1 39
XxAlonexX 1 1/2/0 1 1 17
jersobh 1 1/1/0 1 2 9
Nino Risteski 1 2/2/0 1 1 8
Vishal Rao 1 1/1/0 1 1 4
paperboardofficial 1 4/2/0 1 1 4
Takuto Yuki 1 4/3/2 1 1 2
Henry 1 1/1/0 1 1 2
Kushtrim Junuzi 1 1/1/0 1 1 2
Tomás Lavez 1 2/1/1 1 1 1
Yuva (D-Yuva) 0 1/0/0 0 0 0
None (clates) 0 0/1/0 0 0 0
BlockQuest (0xAsten) 0 0/1/0 0 0 0
Anurag Chatap (achatap) 0 1/0/0 0 0 0
Falah Gate Salieh (falahgs) 0 2/0/0 0 0 0
None (j0yk1ll) 0 0/1/0 0 0 0
Pierre Gronlier (ticapix) 0 0/1/0 0 0 0
None (timeash) 0 1/0/0 0 0 0
None (AllProAi) 0 1/0/0 0 0 0
Hang Zhao (FindBoat) 0 1/0/0 0 0 0
Varun Shrivastava (Varun270) 0 1/0/0 0 0 0
Ali Masri (alimasri) 0 1/0/0 0 0 0
Anish Tejwani (anish891) 0 1/0/0 0 0 0
Karim Lahrichi (klahrich) 0 1/0/1 0 0 0
Mike Baynton (mbaynton) 0 1/1/0 0 0 0
Takeshi Kishi (takeyaqa) 0 0/1/0 0 0 0
Mladen Rakonjac (mladen1nf) 0 0/1/0 0 0 0
Zyad (zyadcodes) 0 1/0/1 0 0 0
Daniele Roccaforte (YonderUrik) 0 1/0/0 0 0 0
Michael Bianco (iloveitaly) 0 3/0/0 0 0 0
None (jhachirag7) 0 0/0/1 0 0 0
Paul Lockett (PaulLockett) 0 1/0/0 0 0 0
Aryan Jangid (aryanjangid) 0 1/0/1 0 0 0
mannaandpoem (mannaandpoem) 0 1/0/0 0 0 0
shivam (shivamkhatri) 0 1/0/0 0 0 0
vincent (vvincent1234) 0 1/1/0 0 0 0
GodCreator333 (GODCREATOR333) 0 0/1/0 0 0 0
Carlos A. Planchón (carlosplanchon) 0 1/0/0 0 0 0
Abhi (Abhi-Balijepalli) 0 1/0/1 0 0 0
Sam Chaudry (CookieMonsteriOS) 0 1/1/0 0 0 0
Mohammed Hasan (R-Mohammed-Hasan) 0 1/1/0 0 0 0
None (vinayakathavale15) 0 1/0/1 0 0 0
Riddhimaan Senapati (Riddhimaan-Senapati) 0 0/0/1 0 0 0

PRs: created by that dev and opened/merged/closed-unmerged during the period

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Project Risk Ratings

Risk Level (1-5) Rationale
Delivery 4 The project faces significant delivery risks due to a backlog of unresolved issues and a high volume of open pull requests. The recent analysis shows 234 open issues, with critical bugs like #832 affecting core functionalities such as event listeners. The backlog of unresolved issues could impact delivery timelines if not addressed promptly. Additionally, the lack of thorough documentation in PR#831 and minimal content updates pose risks to effective communication and user guidance, further affecting delivery.
Velocity 3 Velocity is at risk due to uneven contribution levels among developers and a high volume of open pull requests (48). While key contributors like Magnus Müller are highly active, the reliance on a few individuals could lead to bottlenecks if they become unavailable. The project's progress is also hindered by the accumulation of unresolved issues, which could overwhelm the team and slow down development.
Dependency 3 The project shows dependency risks due to its reliance on specific libraries like 'langchain_core' and 'pydantic'. Any significant changes in these libraries could impact the project's functionality. Additionally, the introduction of new features like Camoufox for bot evasion requires thorough testing to ensure they do not introduce new vulnerabilities or dependencies that could affect delivery and velocity.
Team 3 Team risks stem from uneven contribution levels, with key developers like Magnus Müller contributing significantly more than others. This disparity may indicate potential burnout or misalignment in task distribution. The presence of numerous developers with minimal or no commits suggests potential engagement issues or communication problems within the team.
Code Quality 4 Code quality is at risk due to the high volume of changes by a few developers, which necessitates careful review to maintain standards. The failure of tests in PR#775 indicates unresolved issues that could affect code quality. Additionally, the complexity of managing asynchronous operations and browser contexts could introduce technical debt if not carefully monitored.
Technical Debt 4 Technical debt is accumulating due to frequent updates to critical files like 'browser_use/agent/message_manager/service.py' and 'browser_use/dom/buildDomTree.js'. The intricate management of tokens and asynchronous operations requires careful oversight to prevent further debt accumulation. The reliance on specific libraries also poses risks if they undergo significant changes.
Test Coverage 3 Test coverage is moderate but at risk due to incomplete efforts in resolving test failures, as seen in PR#775 where only 4 out of 5 tests pass. While new unit tests are being introduced, the absence of updates to existing tests represents a missed opportunity to bolster the robustness of the testing framework.
Error Handling 3 Error handling shows moderate risk with improvements seen in PR#816 addressing critical runtime errors. However, unresolved issues like those highlighted in #832 regarding event listeners suggest gaps in error handling that need addressing. The focus on logging and exception management within action definitions supports error tracking but requires continuous improvement.

Detailed Reports

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Recent Activity Analysis

Recent GitHub issue activity for the "browser-use" project has been robust, with a wide range of issues being reported and addressed. The issues cover various aspects of the project, from bug reports and feature requests to documentation improvements and user support inquiries.

Notable Issues

  1. Issue #818: This documentation issue highlights the misleading nature of the project's name, suggesting it only works with Google Chrome rather than all browsers. This points to a need for clearer communication about browser compatibility.

  2. Issue #812: A user reported an installation error on Debian 12, questioning which browsers are supported. This indicates potential gaps in documentation regarding system compatibility and supported browsers.

  3. Issue #798: A request for using the current browser instead of opening a new one suggests a need for more flexible browser management options within the software.

  4. Issue #771: A test issue was closed without further action, indicating routine maintenance or testing by the developers.

  5. Issue #733: A bug report concerning custom actions not working with Gemini models highlights potential compatibility issues with specific LLMs (Language Learning Models).

  6. Issue #722: An AttributeError related to 'CustomBrowserContext' suggests possible gaps in API functionality or documentation clarity.

  7. Issue #713: A bug where sensitive data is not masked in controller logs points to privacy concerns that need addressing.

  8. Issue #674: A question about SSO authentication support was closed, implying that such functionality might already be available or not applicable.

  9. Issue #668: Documentation regarding vulnerability reporting was found lacking, indicating a need for improved security communication channels.

  10. Issue #665: A feature request to include XPath information in action results suggests an interest in enhancing test automation capabilities.

Themes and Commonalities

  • Documentation Needs: Several issues highlight gaps or inaccuracies in documentation, particularly around system compatibility, browser support, and security reporting.

  • Compatibility Concerns: There are recurring themes around compatibility with different LLMs and operating systems, indicating areas where the software might not be fully optimized or documented.

  • Feature Requests: Users are actively requesting new features, such as better integration with existing browsers, enhanced logging capabilities, and support for additional models or platforms.

  • Bug Reports: Common bugs include issues with element interaction on web pages, errors related to specific configurations or environments, and problems with custom actions not executing as expected.

Overall, the project's active issue tracker reflects a dynamic development environment with ongoing efforts to improve functionality, expand compatibility, and enhance user experience.

Issue Details

Most Recently Created Issues

  1. #818 - Documentation issue regarding project name misleading users about browser compatibility.

    • Priority: High
    • Status: Open
    • Created 1 day ago
  2. #812 - Installation error on Debian 12; query about supported browsers.

    • Priority: Medium
    • Status: Open
    • Created 1 day ago
  3. #798 - Request to use the current browser instead of opening a new one.

    • Priority: Medium
    • Status: Open
    • Created 2 days ago

Most Recently Updated Issues

  1. #733 - Bug report on custom actions not working with Gemini models.

    • Priority: High
    • Status: Closed
    • Last updated 3 days ago
  2. #722 - AttributeError related to 'CustomBrowserContext'.

    • Priority: Medium
    • Status: Closed
    • Last updated 4 days ago
  3. #713 - Sensitive data not masked in controller logs.

    • Priority: High
    • Status: Closed
    • Last updated 9 days ago

These issues reflect ongoing efforts to address user-reported problems and enhance the software's capabilities and documentation.

Report On: Fetch pull requests



Pull Request Analysis for "browser-use" Project

Overview

The "browser-use" project is a popular open-source initiative aimed at enabling AI agents to control web browsers. This analysis focuses on the current state of pull requests (PRs) in the repository, highlighting notable issues and developments.

Open Pull Requests

Recent and Noteworthy Open PRs

  1. #831: Create README.md

    • Created by: Yuva (D-Yuva)
    • Summary: Adds a README with a link to a YouTube video tutorial on integrating "browser-use" with Gemini.
    • Concerns: The PR adds minimal content (only two lines), which may not justify a separate README. It could be more effective to integrate this into existing documentation.
  2. #829: Updated the incorrect redirecting link for Langchain Models

    • Created by: Varun Shrivastava (Varun270)
    • Summary: Fixes a broken link in the documentation.
    • Significance: A straightforward but important fix to ensure users can access the correct resources.
  3. #816: [Fix] Handle RuntimeError: Event loop is closed (#219)

    • Created by: Anurag Chatap (achatap)
    • Summary: Addresses an issue with event loop management, ensuring proper cleanup.
    • Significance: This fix is crucial for maintaining application stability during interruptions.
  4. #813: Fix issue #762: Complete the system prompt

    • Created by: mannaandpoem
    • Summary: Enhances the system prompt for better task handling by agents.
    • Significance: Improves agent performance and adaptability, addressing a specific user-reported issue.
  5. #805: use camoufox for bot evasion

    • Created by: Michael Bianco (iloveitaly)
    • Summary: Proposes using Camoufox for improved bot evasion.
    • Concerns: The PR is experimental, and the author seeks feedback before further development.
  6. #801: Added adblocker in playwright instance

    • Created by: PaperBoardOfficial
    • Summary: Introduces an adblocker using Ublock Lite for Playwright instances.
    • Significance: Enhances user experience by reducing ad-related disruptions during automation tasks.

Notable Issues with Open PRs

  • Several PRs (#725, #723) are flagged due to unsigned Contributor License Agreements (CLAs), which need resolution before merging.
  • Some PRs like #775 have identified bugs that need addressing before they can be merged or tested further.

Closed Pull Requests

Recently Closed and Significant PRs

  1. #830: Metadata in history

    • Merged by: Magnus Müller
    • Summary: Improves token management and adds step metadata for better tracking.
    • Impact: Enhances telemetry and debugging capabilities, crucial for developers monitoring agent performance.
  2. #826: For models without tool calling, add available actions to context

    • Merged by: Magnus Müller
    • Summary: Ensures models without tool calling have access to available actions, improving flexibility.
  3. #815: Update browser-settings.mdx

    • Merged by: Magnus Müller
    • Summary: Fixes typos in documentation, improving clarity and professionalism.
  4. #811: Include model for page_extraction_llm

    • Merged by: Magnus Müller
    • Summary: Ensures consistency in model usage across different functionalities.

Issues with Closed PRs

  • Some closed PRs like #820 were not merged due to CLA issues or other conflicts, indicating potential communication or procedural gaps that need addressing.

Conclusion

The "browser-use" project is actively maintained with numerous contributions aimed at enhancing functionality and user experience. Key areas of focus include improving error handling, documentation clarity, and feature robustness. However, procedural issues such as unsigned CLAs and unmerged experimental features highlight areas for process improvement. Addressing these will streamline contributions and enhance project development efficiency.

Report On: Fetch Files For Assessment



Source Code Assessment

1. browser_use/agent/message_manager/service.py

  • Structure & Organization:

    • The file is well-organized with clear separation of classes and methods. The use of Pydantic's BaseModel for settings (MessageManagerSettings) ensures type safety and validation.
    • The MessageManager class is central to managing message history and state, with methods for adding tasks, messages, and handling sensitive data.
  • Code Quality:

    • The code uses Python's logging module effectively for debugging and tracing execution.
    • There are helper methods like _count_tokens and _filter_sensitive_data that encapsulate specific functionalities, promoting code reuse and readability.
    • Decorators like @time_execution_sync are used to measure execution time, indicating a focus on performance monitoring.
  • Potential Improvements:

    • The _count_tokens method could benefit from integration with a tokenizer library for more accurate token counting instead of rough estimates.
    • Consider using more descriptive names for variables like msg to improve readability.

2. browser_use/agent/service.py

  • Structure & Organization:

    • The file is extensive, indicating a complex functionality. It contains the main Agent class responsible for orchestrating tasks using the browser.
    • Use of generics (Generic[Context]) suggests flexibility in context management.
  • Code Quality:

    • The code demonstrates good use of asynchronous programming with asyncio, which is crucial for non-blocking I/O operations in browser automation.
    • There is a clear separation of concerns with methods dedicated to specific tasks like _handle_step_error, multi_act, and _run_planner.
  • Potential Improvements:

    • Given the file's length (900 lines), consider breaking it into smaller modules or files to enhance maintainability.
    • Some methods have complex logic (e.g., _execute_history_step). Refactoring them into smaller helper functions could improve clarity.

3. browser_use/agent/views.py

  • Structure & Organization:

    • This file defines several data models using Pydantic, which are essential for maintaining structured data within the agent's operations.
    • Classes like AgentSettings, AgentState, and AgentOutput are clearly defined with appropriate fields.
  • Code Quality:

    • The use of type annotations and Pydantic models ensures data integrity and validation throughout the agent's lifecycle.
    • Methods like model_dump in AgentHistory provide custom serialization logic, which is useful for persisting state.
  • Potential Improvements:

    • Consider adding more detailed docstrings to some methods to clarify their purpose and usage.

4. browser_use/dom/buildDomTree.js

  • Structure & Organization:

    • The script is structured as an IIFE (Immediately Invoked Function Expression), encapsulating its logic and avoiding global scope pollution.
    • Functions are defined for specific tasks such as highlighting elements, checking visibility, and building the DOM tree.
  • Code Quality:

    • Use of caching (DOM_CACHE) and performance metrics (PERF_METRICS) indicates a focus on efficiency, especially in debug mode.
    • Functions like highlightElement are well-documented with inline comments explaining their logic.
  • Potential Improvements:

    • Consider modularizing the script by separating utility functions into different files or modules if feasible.

5. browser_use/browser/context.py

  • Structure & Organization:

    • This file manages browser context configurations and interactions using Playwright. It includes classes like BrowserContextConfig and BrowserContext.
  • Code Quality:

    • The use of async/await patterns is consistent, ensuring non-blocking operations during browser interactions.
    • Configuration options are well-defined using dataclasses, providing defaults and documentation within docstrings.
  • Potential Improvements:

    • Given its length (1276 lines), consider extracting some logic into separate utility modules or classes to enhance readability.

6. examples/models/gemini.py

  • Structure & Organization:

    • A concise example demonstrating how to set up an agent with a specific language model (ChatGoogleGenerativeAI) and run a task.
  • Code Quality:

    • The script is straightforward, focusing on initialization and execution of a task using an agent.
  • Potential Improvements:

    • Add error handling around API key retrieval (os.getenv('GEMINI_API_KEY')) to provide more informative messages in case of failure.

7. eval/gpt-4o-viewport-0.py

  • Structure & Organization:

    • Similar to the previous example, this script sets up an agent with a different model (ChatOpenAI) for evaluation purposes.
  • Code Quality:

    • The script is cleanly written with clear separation between configuration and execution logic.
  • Potential Improvements:

    • Consider adding comments or docstrings to explain the purpose of the evaluation script in more detail.

8. docs/customize/browser-settings.mdx

  • Content & Structure:

    • Provides comprehensive documentation on configuring browser settings using classes like BrowserConfig and BrowserContextConfig.
  • Clarity & Completeness:

    • The documentation is clear with examples provided in code blocks, making it easy for users to understand how to apply configurations.
  • Potential Improvements:

    • Ensure that all configuration options are covered in detail, including any new features added recently.

9. .gitignore

  • Content & Structure:

    • A standard .gitignore file covering common Python-related files/directories as well as project-specific entries like cookies and history files.
  • Effectiveness:

    • Covers a wide range of temporary files that should not be included in version control, ensuring a clean repository state.

Overall, the source code demonstrates strong organization, effective use of modern Python features (like async programming), and attention to performance considerations. However, given the complexity of some files, further modularization could enhance maintainability.

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Development Team and Recent Activity

Team Members and Their Activities

Magnus Müller (MagMueller)

  • Commits: 93 commits in the last 14 days.
  • Activities:
    • Worked extensively on metadata tracking, history improvements, error tracking, and agent initialization.
    • Made numerous enhancements to the agent's service and views, including renaming tokens and improving step metadata tracking.
    • Collaborated on various pull requests, including those related to history improvement, clean-up state, and speed improvements.
    • Engaged in reorganizing code, fixing bugs, and enhancing performance metrics.
    • Involved in merging branches and handling documentation updates.

Gregor Žunič (gregpr07)

  • Commits: 8 commits in the last 14 days.
  • Activities:
    • Added boolean output and fixed page timeout errors.
    • Worked on updating documentation background color.
    • Engaged in cloud-related changes and improved observability.

Nino Risteski (NinoRisteski)

  • Commits: 1 commit in the last 14 days.
  • Activities:
    • Fixed typos in documentation.

Matic Zavadlal (maticzav)

  • Commits: 18 commits in the last 14 days.
  • Activities:
    • Updated various files including service.py and pyproject.toml.
    • Engaged in refactoring code for better structure.

Morris Lee (k-w-lee)

  • Commits: 11 commits in the last 14 days.
  • Activities:
    • Improved UI examples and added instructions for demos.
    • Refactored code for better readability and compliance with PEP 8 guidelines.

Codebeaver-ai[bot]

  • Commits: 14 commits in the last 14 days.
  • Activities:
    • Added tests for coverage improvement across multiple test files.

Patterns, Themes, and Conclusions

  • High Activity from Magnus Müller: Magnus is heavily involved in both development and maintenance tasks. His work spans across various aspects of the project, including feature enhancements, bug fixes, code refactoring, and documentation updates. His contributions are crucial to the project's progress.

  • Collaboration Across Team Members: There is evidence of collaboration among team members through merged pull requests. This indicates a collaborative environment where team members contribute to different aspects of the project.

  • Focus on Performance and Usability Improvements: Recent activities include significant efforts to improve performance metrics, enhance user experience, and refine system prompts. This aligns with the project's roadmap of improving agent memory and reducing token consumption.

  • Continuous Testing and Documentation Updates: The team is actively engaged in updating tests to ensure coverage and reliability. Documentation is also regularly updated to reflect changes and improvements in the project.

Overall, the development team is actively working on enhancing the functionality of the "browser-use" project while ensuring code quality through testing and documentation.