In the past month, Fabric has seen significant contributions from its primary developer, Daniel Miessler, but a lack of recent activity from other contributors raises concerns about the project's long-term sustainability. Fabric is an open-source framework designed to enhance human capabilities through AI augmentation, utilizing a modular approach to integrate AI prompts into everyday tasks.
Recent updates have focused on enhancing core functionalities, including the addition of new patterns and updates to existing ones. Miessler's commitment is evident with 18 commits in the last 30 days, yet the absence of contributions from other team members could hinder future progress.
The project currently has 211 open issues and 32 open pull requests (PRs). Recent issues highlight user challenges with model configuration and installation processes, indicating a need for clearer documentation and support. For instance, Issue #803 reports a bug related to saving output files when using specific models, while Issue #801 seeks clarification on prompt usage values.
Recent PRs show a mix of documentation improvements and feature enhancements:
These contributions collectively indicate an active community willing to engage with the project despite the primary reliance on Miessler for development.
Daniel Miessler (danielmiessler)
Other Contributors (e.g., havok87, builder555, drhitchen)
The dominance of Miessler's contributions suggests a bottleneck risk if he cannot maintain this pace or if he becomes unavailable.
| Timespan | Opened | Closed | Comments | Labeled | Milestones |
|---|---|---|---|---|---|
| 7 Days | 5 | 1 | 6 | 0 | 1 |
| 30 Days | 33 | 5 | 64 | 2 | 1 |
| 90 Days | 184 | 42 | 384 | 11 | 1 |
| All Time | 357 | 178 | - | - | - |
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 |
|---|---|---|---|---|---|---|
| Daniel Miessler |  |
1 | 0/0/0 | 18 | 8 | 537 |
| Eduardo Aguilar Pelaez (edu-ap) | 0 | 1/0/0 | 0 | 0 | 0 | |
| Ryan Stewart (stuboo) | 0 | 1/0/0 | 0 | 0 | 0 | |
| hav0k (havok87) | 0 | 1/0/0 | 0 | 0 | 0 | |
| Sang Oh (sko9370) | 0 | 1/0/0 | 0 | 0 | 0 | |
| Nicolás Georger (ngeorger) | 0 | 1/0/0 | 0 | 0 | 0 | |
| None (drhitchen) | 0 | 1/0/0 | 0 | 0 | 0 | |
| None (builder555) | 0 | 1/0/0 | 0 | 0 | 0 | |
| Matheus Ferreira (matheushmfr) | 0 | 1/0/0 | 0 | 0 | 0 | |
| Wilfried AGO (wilfriedago) | 0 | 1/0/0 | 0 | 0 | 0 | |
| None (profetik-777) | 0 | 1/0/0 | 0 | 0 | 0 | |
| Emlin Charly (EatMoreChicken) | 0 | 1/0/0 | 0 | 0 | 0 |
PRs: created by that dev and opened/merged/closed-unmerged during the period
The GitHub repository for the Fabric project has seen considerable activity, with 179 open issues currently. Recent discussions reveal a mix of bugs, feature requests, and user inquiries, particularly around the integration of local models and API key management. Notably, there are ongoing issues with users experiencing difficulties in setting up their environments, especially concerning OpenAI API keys and local Ollama model configurations.
Several themes emerge from the issues: 1. Model Configuration: Users frequently report problems with setting default models and switching between local and remote models. 2. Installation Challenges: Many users face hurdles during installation, particularly regarding dependencies and environment configurations. 3. Functionality Bugs: There are numerous reports of specific patterns not functioning as expected or returning errors related to model access.
Issue #803: [Bug]: when using ollama with llama3.1:latest can't save output to file
Issue #801: [Question]: prompt usage (i.e., prompt_tokens and completion_tokens) values
Issue #800: [Bug]: FRONTMATTER Option
Issue #796: [Bug]: Minecraft crashed when opening inventory
Issue #789: stdin on wsl2 is a nightmare - any solutions?
Issue #788: [Question]: Any GO version updates?
Overall, the current state of open issues reflects a community actively engaged in troubleshooting and seeking enhancements for the Fabric project, highlighting both its potential and areas needing improvement.
The dataset contains a total of 32 open pull requests (PRs) for the Fabric project, which is designed to enhance human capabilities through AI augmentation. The PRs cover a variety of enhancements, bug fixes, and documentation updates, reflecting an active development environment.
PR #802: Update patterns to contain user.md files
PR #798: fix: clarified Google API Key in setup
PR #797: Add pattern to analyze email headers for SPF, DKIM and DMARC
PR #795: Update patterns/extract_article_wisdom/README.md, missing word for clarity
PR #793: Correct typos in documentation files
PR #791: Update README.md to make more literal and obvious install instruction
PR #770: Adding a stitch to write essays from YouTube videos
PR #774: Fixes stdout encoding for non-English transcripts
PR #761: modified regex in get_video_id() to include youtube.com/live/* urls
PR #752: Audio transcripts with groq
PR #741: Updating indents in the install steps
PR #736: Bump the pip group across 1 directory with 4 updates
PR #730: adding itil_change powershell_analyze and ciso brief
PR #729: Agentops_integration
PR #723: docs: update summarize_git_diff to refine output and instruction clarity
PR #722: Typoooooo My bad Daniel
... (additional PRs continue similarly)
The PRs submitted reflect a diverse range of contributions that highlight both functional enhancements and necessary maintenance tasks within the Fabric project.
Documentation Improvements: A significant number of PRs focus on enhancing documentation clarity and correcting typos (e.g., PRs #795, #793, #791). This indicates an ongoing commitment by contributors to ensure that users can easily understand how to use the tool effectively.
Feature Enhancements: Several PRs introduce new features or improve existing functionalities (e.g., PRs #797 for email header analysis, #770 for essay writing from YouTube videos). This suggests that contributors are actively looking to expand the capabilities of Fabric in response to user needs or emerging trends in AI applications.
Bug Fixes: There are numerous instances where contributors have addressed bugs or issues related to functionality (e.g., PRs #774 fixing encoding issues, #798 clarifying API key instructions). This reflects a proactive approach to maintaining software quality and user experience.
Dependency Management: The project shows attention to maintaining up-to-date dependencies through multiple PRs aimed at updating libraries (e.g., PRs #736, #770). This is crucial for ensuring security and compatibility with other tools or libraries used within the project.
The high number of open PRs alongside closed ones indicates an active community around Fabric, with many contributors willing to engage with the project regularly. The variety of contributions—from major feature additions to minor fixes—demonstrates a healthy ecosystem where users feel empowered to enhance the tool collaboratively.
Overall, the pull request activity within the Fabric project illustrates a vibrant development environment characterized by continuous improvement efforts across documentation, features, and maintenance tasks. As the project prepares for its transition from Python to Go, it will be essential for maintainers to manage this change effectively while continuing to foster community engagement and contribution opportunities.
Daniel Miessler (danielmiessler)
Other Contributors (e.g., havok87, builder555, drhitchen, etc.)
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