MetaGPT, a multi-agent framework simulating a software company environment, continues to evolve with active community involvement and development efforts focused on bug fixes and feature enhancements.
Recent issues and pull requests (PRs) highlight ongoing challenges with model integration and configuration, particularly with LLMs like Gemini and ZhipuAI. Notable PRs include #1474, which adds Together API integration, and #1460, addressing Qianfan timeout issues. These activities indicate a trajectory focused on expanding capabilities and improving reliability.
Alexander Wu (geekan)
莘权 马
Guess (iorisa)
好好学习的郝 (voidking)
Kaushal Solanki
usamimeri_renko
liuminhui (HuiDBK)
hgftrdw45ud67is8o89
Overall, MetaGPT is actively developed with a focus on enhancing functionality and addressing user-reported challenges, supported by a vibrant community.
| Timespan | Opened | Closed | Comments | Labeled | Milestones |
|---|---|---|---|---|---|
| 7 Days | 5 | 1 | 6 | 5 | 1 |
| 30 Days | 14 | 3 | 24 | 14 | 1 |
| 90 Days | 70 | 27 | 152 | 70 | 1 |
| All Time | 632 | 322 | - | - | - |
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 |
|---|---|---|---|---|---|---|
| Maximilian Knoll (MorpheusI0) | 0 | 1/0/0 | 0 | 0 | 0 | |
| Abir HARRASSE (abirharrasse) | 0 | 1/0/0 | 0 | 0 | 0 | |
| None (add-apt-repository) | 0 | 1/0/1 | 0 | 0 | 0 |
PRs: created by that dev and opened/merged/closed-unmerged during the period
The MetaGPT repository has seen significant recent activity, with 310 open issues. Notably, many issues are related to configuration problems, bugs in the code, and requests for enhancements, indicating ongoing development and user engagement. There is a recurring theme of users facing challenges with model integration and configuration, particularly when using various LLMs (Large Language Models).
Several issues highlight critical bugs, such as the inability to generate expected outputs or errors during execution. Users frequently report problems with specific models like Gemini and ZhipuAI, suggesting that these integrations may require further refinement.
Issue #1483: 希望可以增加Qwen2.5的模型支持
Issue #1482: laji project
Issue #1481: 关于Engineer和QaEngineer这两个角色的两个问题。
Issue #1480: 多个不同大模型的使用
Issue #1479: 使用DataInterpreter时，能否自己决定运行的环境
Issue #1477: Cannot install due to old numpy version being used by metagpt
Issue #1476: RAG后不能用GPT-4o进行query
Issue #1475: tenacity.RetryError
Issue #1458: 怎么生成符合我自定义规范的代码?
Issue #1382: ValueError: Creator not registered for key: LLMType.OLLAMA
The recurring nature of these issues points to potential gaps in documentation or support for users attempting to configure their environments or integrate specific models effectively.
This analysis indicates that while MetaGPT is evolving rapidly, addressing these critical issues will be essential for its continued success and user satisfaction.
The analysis of the pull requests (PRs) for the MetaGPT project reveals a dynamic development environment with a focus on enhancing functionality, fixing bugs, and integrating new features. The project's open-source nature has attracted significant community involvement, leading to a steady stream of contributions that enhance its capabilities and address user needs.
PR #1474: Adding Together API to the providers. This PR introduces integration with the Together API, expanding MetaGPT's capabilities by allowing access to agentic features offered by MetaGPT.
PR #1460: Fixbug: qianfan timeout. This PR addresses a bug related to timeout settings in the Qianfan provider API, improving reliability and performance.
PR #1465: Feat: add optional authorization header for Ollama to support Open WebUI. This PR adds support for optional authorization headers in Ollama, facilitating integration with Open WebUI.
PR #1459: Fixbug: recovered role can't observe new message. This PR fixes an issue where recovered roles could not observe new messages, ensuring proper functionality in role recovery scenarios.
PR #1457: Integrated Milvus with MetaGPT. This PR adds integration with Milvus, a vector database, enhancing MetaGPT's data handling capabilities.
PR #1454: Ai-write-paper. This PR explores multi-agent collaboration in long-document writing tasks, proposing a technical solution within MetaGPT's framework.
PR #1452: Feat: + python <3.12. This PR updates Python version compatibility in setup configurations.
PR #1450: Feat(bedrock): Temporary AWS credentials via env vars + supported models update. This PR enhances AWS Bedrock integration by supporting temporary credentials via environment variables and updating supported models.
PR #1446: Adding Unify AI Support. This PR integrates Unify AI into MetaGPT, allowing access to various AI models with a single API key.
PR #1467: Update setup.py. A test proof of concept that was not merged.
PR #1453: A draft PR that was closed without merging.
PR #1447: Added batch script to automate setup in windows. A convenience feature for Windows users that was not merged.
PR #1438: Fixbug: there's a problem about using external LLM of huoshan #1429. This PR addressed an issue with using external LLMs but was merged without direct author approval.
PR #1437: Feat: upgrade qianfan package. An enhancement that upgraded the Qianfan package but was merged without direct author approval.
PR #1435: Fix bug https://github.com/geekan/MetaGPT/issues/1430 and also make some field in design api optional. A bug fix that was merged quickly due to its importance.
PR #1432 & #1431 & #1428 & #1420 & #1416 & #1408 & #1402 & #1398 & #1397 & #1395 & #1358 & #1357 & #1355 & #1343 & #1342 & #1319 & #1316 & #1314 & #1307 & #1306 & #1303 & #1300 & #1299 & #1296 & #1295 & #1294 & #1293 & #1292: These PRs cover a range of enhancements, bug fixes, and feature additions that were merged successfully, indicating active maintenance and improvement efforts within the project.
The pull requests for MetaGPT reflect a robust development process characterized by:
Active Feature Development: There is a consistent effort to expand MetaGPT's capabilities through new integrations (e.g., Milvus, Unify AI), enhancements (e.g., support for temporary AWS credentials), and novel features (e.g., ai-write-paper exploring multi-agent collaboration).
Community Engagement: The presence of numerous contributions from various developers suggests strong community interest and involvement in the project's evolution. This is further evidenced by the quick turnaround on bug fixes and feature requests.
Focus on Reliability and Performance: Several pull requests address bug fixes (e.g., qianfan timeout issue, role recovery message observation problem) and performance improvements (e.g., upgrading dependencies like Qianfan package), highlighting a commitment to maintaining high-quality standards.
Diverse Use Cases: The variety of features being integrated or enhanced (e.g., support for different LLMs, integration with vector databases) indicates that MetaGPT is being adapted for a wide range of applications beyond its initial scope, showcasing its versatility as a multi-agent framework.
Rapid Iteration and Improvement: The frequent updates and enhancements suggest an agile development approach where feedback is quickly incorporated into the product, allowing MetaGPT to evolve rapidly in response to user needs and technological advancements.
In conclusion, the analysis of pull requests reveals that MetaGPT is actively developed with a focus on expanding its capabilities, improving reliability, and adapting to diverse use cases through community engagement and rapid iteration processes.
Alexander Wu (geekan)
莘权 马
Guess (iorisa)
好好学习的郝 (voidking)
Kaushal Solanki
usamimeri_renko
liuminhui (HuiDBK)
hgftrdw45ud67is8o89
Collaborative Efforts: There is a strong pattern of collaboration among team members, as evidenced by frequent merges of pull requests and joint efforts in addressing bugs across various components of the project.
Focus on Bug Fixes: A significant portion of recent activity has been dedicated to fixing bugs, particularly those affecting LLM integrations and user interactions within the system.
Feature Development: Alongside bug fixes, there is ongoing development of new features, particularly enhancements to UI integration and support for asynchronous operations.
Branch Management: The team actively manages multiple branches, indicating a structured approach to development where features are developed in isolation before being merged into the main branch.
Community Engagement: The project has a vibrant community, as indicated by the number of contributors actively working on various aspects of the codebase, reflecting a healthy open-source environment.
Overall, the development team is actively engaged in both maintaining existing functionality through bug fixes and expanding capabilities through new feature development.
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