The Agency Swarm project, a Python framework for creating and managing collaborative AI agents, has experienced notable user engagement with the recent creation of issues focusing on shared state management and multi-threading challenges. The project is maintained by VRSEN and aims to streamline operations for AI agents using the OpenAI Assistants API.
Recent activity reveals a vibrant community interaction, particularly concerning bugs and feature requests related to concurrent user interactions. Issues like #163 highlight significant user concerns regarding thread management when multiple users engage with the same agency. This indicates a critical area for improvement that could enhance the framework's usability and performance.
The project currently has 7 open issues, with the most recent being #165, reported just 2 days ago. The issues can be grouped as follows:
Bugs:
Enhancements:
Questions:
There are currently 8 open pull requests, indicating ongoing development efforts. Key PRs include:
Recent contributions reflect a mix of bug fixes, usability improvements, and feature expansions. The discussions around PR #157 indicate careful consideration of user experience in relation to technical constraints.
The concentrated effort by Arsenii Shatokhin highlights a phase of stabilization while also pushing forward with new features. However, the absence of other contributors suggests potential limitations in collaborative development.
Timespan | Opened | Closed | Comments | Labeled | Milestones |
---|---|---|---|---|---|
7 Days | 1 | 1 | 1 | 0 | 1 |
30 Days | 6 | 8 | 4 | 4 | 1 |
90 Days | 19 | 22 | 49 | 8 | 1 |
All Time | 94 | 87 | - | - | - |
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.
Developer | Avatar | Branches | PRs | Commits | Files | Changes |
---|---|---|---|---|---|---|
github-actions[bot] | 1 | 0/0/0 | 1 | 63 | 29818 | |
Arsenii Shatokhin | 2 | 0/0/0 | 26 | 39 | 970 |
PRs: created by that dev and opened/merged/closed-unmerged during the period
The recent GitHub issue activity for the Agency Swarm project shows a total of 7 open issues, with the most recent being created just 2 days ago. This indicates ongoing engagement from users, particularly around bugs and feature requests. Notably, there are several issues related to managing shared states and handling multiple threads, which suggest that users are facing challenges in concurrent interactions and state management within the framework.
A recurring theme among the issues is the need for better support in managing multiple user interactions simultaneously. Issues like #163 highlight limitations in handling conversation threads when multiple users engage with the same agency, indicating a potential area for improvement in the framework's design. Additionally, there are discussions about integrating third-party models and enhancing existing functionalities, such as file handling and API support.
Issue #165: Shared state Initialization
shared_state
fundamentals. The response from a project maintainer suggests a potential misunderstanding of how shared states are managed in separate tool instances.Issue #164: Question: restart or finish a run of Genesis possible?
Issue #163: Insufficient support managing multiple threads when several users interact with the same agency simultaneously.
Agncy
class regarding thread management during concurrent user interactions and proposes enhancements to manage state more effectively.Issue #162: Genesis facing token limit for usage tier 1 openai accounts - suggesting having configurable model setting
Issue #161: Fails to read/access files(csv, pdf, etc...)
Issue #160: Genesis with Open Source / Third Party models
Issue #158: Token Usage Statistics
The issues reflect significant user engagement with the framework, particularly regarding its capabilities in multi-user environments and file handling. The consistent focus on shared state management and thread-specific interactions suggests that these areas may require further development to enhance usability and functionality. Additionally, interest in integrating third-party models indicates a desire for flexibility beyond the current offerings of the framework.
The repository VRSEN/agency-swarm currently has 8 open pull requests, showcasing ongoing development and enhancements to the framework designed for collaborative AI agents. The pull requests range from bug fixes and readability improvements to significant feature additions, reflecting an active engagement from contributors.
PR #157: Increase max_retries from 5 to 10
Created 38 days ago. This PR aims to mitigate rate limit errors by increasing the maximum retries for the genesis
command and implementing a delay mechanism. Notably, there is a discussion about the appropriateness of a 60-second delay, with suggestions for exponential backoff.
PR #155: simplified add_tool for improved readability
Created 49 days ago. This PR simplifies the add_tool
function in the codebase, enhancing its readability. Such improvements are crucial for maintainability but do not introduce new features.
PR #154: fixed unnecessary close statement in file context handler
Created 49 days ago. This minor fix removes an unnecessary close statement in a file context handler, which can prevent potential resource leaks.
PR #153: Fixed incorrect print statement
Created 49 days ago. This PR corrects an erroneous print statement that could lead to confusion during debugging or logging processes.
PR #146: Browser agent fix
Created 69 days ago. This PR introduces a new SearchWeb tool and enhances the BrowsingAgent's autonomy. It represents a significant improvement in functionality and user experience.
PR #144: feat:Add support zip, tar.gz and git repo uploading as files
Created 71 days ago. This feature allows users to upload compressed files and directly from Git repositories, significantly expanding the framework's capabilities for file handling.
PR #70: Remove requirement-already-satisfied output from genesis_agency notebook
Created 194 days ago. This PR cleans up the output of a notebook to enhance user experience, making it less cluttered.
PR #6: Create SECURITY.md
Created 260 days ago. This PR adds a SECURITY.md file, which is essential for outlining security practices and protocols within the project.
PR #159: Hack to reduce rate limit flakiness
Closed after being deemed ineffective; it attempted to address rate limit issues but did not provide a sustainable solution.
PR #140: Assaf test
Closed without merging; it added test files but did not align with project goals.
PR #136 - PR #132: Fixed typos
Multiple PRs focused on correcting typos across various files, indicating ongoing efforts to maintain code quality and documentation clarity.
PR #129: Changed default OPENAI model to GPT-4o
Closed after merging; this change updates the default model used in the framework, which is significant for performance improvements.
The current set of open pull requests reflects a healthy mix of maintenance tasks and feature enhancements within the VRSEN/agency-swarm project. A notable trend is the emphasis on improving user experience through both functional enhancements (e.g., PR #144) and usability tweaks (e.g., PR #70). The introduction of new tools like SearchWeb in PR #146 signifies an effort to expand the capabilities of the BrowsingAgent, aligning with the project's goal of creating versatile AI agents.
The discussions surrounding PR #157 highlight a critical aspect of software developmentābalancing user experience with technical constraints. The debate over timeout durations indicates that contributors are considering how changes will impact users across different tiers, which is commendable as it shows an awareness of diverse user needs.
Moreover, the closed pull requests reveal a proactive approach to code quality through typo corrections and minor fixes. These efforts contribute significantly to maintaining high standards in documentation and code clarity, which are vital for long-term project sustainability.
However, some closed pull requests, such as PR #159, indicate challenges in addressing rate limit issues effectively. The temporary solutions proposed may reflect a need for more robust error handling strategies within the framework. This suggests that while there is active engagement in feature development, there may be underlying technical challenges that require deeper investigation and more comprehensive solutions.
In conclusion, the ongoing development within VRSEN/agency-swarm demonstrates an active community focused on enhancing functionality while maintaining code quality. The balance between addressing immediate user needs and planning for future scalability will be crucial as the project continues to evolve.
The development team, led by Arsenii Shatokhin, is actively engaged in both stabilizing the project through bug fixes and enhancing its capabilities with new features. The absence of contributions from other team members suggests a focused effort but may also indicate a need for broader collaboration as the project evolves. The significant updates to documentation reflect an awareness of user needs and community engagement.