Lumos, a Chrome extension leveraging local Large Language Models (LLMs) for web browsing enhancements, continues to evolve under the guidance of its primary developer, Andrew Nguonly. The project aims to provide users with privacy-focused, locally-run AI capabilities for summarizing and interacting with online content.
Recent activities highlight a focus on feature enhancements and user experience improvements. Notable developments include the integration of new multimodal models and the enhancement of file handling capabilities. However, the project faces challenges, such as the prolonged open status of PR #38, which addresses security concerns but remains unresolved after 203 days. This stagnation suggests potential prioritization or resource allocation issues within the development team.
Recent issues and pull requests indicate a trajectory focused on expanding functionality and addressing user experience concerns. The open PR #38 reflects ongoing discussions about security enhancements, while closed PRs like #182 and #178 demonstrate efforts to refine clipboard handling and model preloading.
Andrew Nguonly:
Billy Kern:
Ulli (Draculabo):
Ikko Eltociear Ashimine:
| Timespan | Opened | Closed | Comments | Labeled | Milestones |
|---|---|---|---|---|---|
| 7 Days | 0 | 0 | 0 | 0 | 0 |
| 30 Days | 0 | 0 | 0 | 0 | 0 |
| 90 Days | 3 | 8 | 3 | 3 | 1 |
| All Time | 95 | 78 | - | - | - |
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.
The Lumos project has 17 open issues, with recent activity indicating a steady engagement from the developer and community members. Notably, issues related to functionality and integration with the Ollama server have been prevalent, reflecting ongoing efforts to enhance user experience and address technical challenges.
Several issues reveal themes of integration difficulties, particularly with the Ollama server's API and its interaction with various browser environments. For example, users have reported CORS-related problems when attempting to connect to the local Ollama instance, suggesting that documentation or setup instructions may need further clarification. Additionally, there are discussions around missing features such as function calling support and improvements in content parsing capabilities, indicating a demand for more robust functionality.
Issue #176: Investigate LangGraph/agent implementation
Issue #172: Review/edit Mutable AI wiki
Issue #171: Any plans for Firefox?
Issue #170: Experiment with Ollama API concurrency
Issue #156: WebLLM
Issue #170: Experiment with Ollama API concurrency
Issue #171: Any plans for Firefox?
Issue #172: Review/edit Mutable AI wiki
Issue #176: Investigate LangGraph/agent implementation
Issue #156: WebLLM
Overall, the Lumos project is actively engaging with its community while navigating technical challenges related to integration and functionality enhancements.
The analysis of the pull requests (PRs) for the Lumos project reveals a total of 89 PRs, with one currently open. The majority of these PRs focus on enhancing functionality, fixing bugs, and improving user experience within the Chrome extension designed for Retrieval-Augmented Generation (RAG).
PR #182: Add onCopy handler to Message component to prevent HTML from being copied to the clipboard
Merged 80 days ago, this PR improves user experience by ensuring that only plain text is copied when users attempt to copy messages.
PR #180: Pull request for app version 1.0.15
Merged 89 days ago, this PR includes multiple enhancements such as adding new models and improving clipboard functionality.
PR #179: Update README with note about OLLAMA_MAX_LOADED_MODELS environment variable
Merged 89 days ago, this update clarifies usage instructions for users regarding model loading limits.
PR #178: Add ability to load clipboard content as a file attachment
Merged 89 days ago, this feature allows users to attach clipboard content directly, enhancing usability.
PR #175: Preload inference and embedding models
Merged 95 days ago, this PR optimizes performance by preloading models to reduce latency during use.
PR #173: Add new multimodal models
Merged 95 days ago, expanding the capabilities of the extension by integrating new models.
PR #168: Add snowflake-arctic-embed to embeddings model list
Merged 105 days ago, this PR adds a new embedding model to enhance the extension's functionality.
PR #165: PR for app version 1.0.14
Merged 124 days ago, this was part of regular version updates.
PR #164: Change message preview to first AI message
Merged 124 days ago, improving how messages are displayed in the UI.
PR #161: Add support for embedding model mxbai-embed-large
Merged 124 days ago, this addition enhances the range of available embedding models.
(Additional closed PRs continue similarly with various enhancements and fixes.)
The pull requests for Lumos demonstrate a clear focus on enhancing user experience and expanding functionality through iterative improvements. A significant number of closed PRs revolve around adding features that directly impact usability—such as clipboard handling (e.g., PRs #178 and #182), model management (e.g., PRs #175 and #180), and interface adjustments (e.g., PRs #164 and #161).
One notable trend is the emphasis on improving documentation and user guidance through updates to the README file (e.g., PRs #179 and others). This reflects an understanding that as the extension evolves, clear instructions are vital for user adoption and satisfaction. Furthermore, the inclusion of features like dark mode (PR #136) indicates a responsiveness to user preferences regarding interface design.
Another common theme is the integration of multimodal capabilities (e.g., PRs #173 and #178), which aligns with contemporary trends in AI applications that leverage diverse data types. This not only broadens Lumos's utility but also positions it competitively among similar tools in the market.
However, there are also indications of potential bottlenecks in development. For instance, the open PR (#38) has been pending for over six months without resolution. This could suggest either a lack of resources or prioritization issues within the development team. The discussions surrounding this PR indicate that while there is interest in its implementation, clarity on its direction is needed.
Overall, Lumos's development trajectory appears robust with active engagement from its maintainer Andrew Nguonly. The project benefits from community feedback as seen in issue resolutions tied to specific pull requests. However, maintaining momentum on open issues and ensuring timely reviews of pull requests will be critical as user expectations grow alongside feature enhancements.
The development team is actively enhancing the Lumos extension, focusing on usability and feature richness. Andrew Nguonly leads the efforts, with occasional contributions from others. The project appears stable with no significant ongoing issues or active branches noted in recent activity.
Summary
Quantified Reports
Detailed Reports