Fabric
by
danielmiessler

Description: Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI...

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Summary Information

Updated 2 minutes ago
Added to GitGenius on December 25th, 2025
Created on January 3rd, 2024
Open Issues & Pull Requests: 69 (+0)
Number of forks: 4,201
Total Stargazers: 42,913 (+2)
Total Subscribers: 394 (+0)

Issue Activity (beta)

Open issues: 35
New in 7 days: 2
Closed in 7 days: 0
Avg open age: 234 days
Stale 30+ days: 27
Stale 90+ days: 20

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 1

Top labels

  • bug (304)
  • enhancement (215)
  • question (206)
  • i18n (1)

Most active issues this week

Repository Insights (GitGenius)

Median issue/PR response: N/A
Mean response time: 12.2 days
90th percentile: 0.0 hours
Tracked items: 754

Most active contributors

Detailed Description

Fabric is an open-source framework written in Go designed to address what its creator identifies as AI's core challenge: not a lack of capabilities but rather an integration problem. Since late 2022, thousands of AI applications have emerged across websites, chatbots, and mobile apps, yet incorporating these tools into daily workflows remains difficult. Fabric solves this by organizing and centralizing the fundamental units of AI—prompts themselves—allowing users to create, collect, and manage AI solutions for real-world tasks in a single location.

The framework operates on a modular system built around crowdsourced AI prompts that can be deployed across various tools and interfaces. Users can leverage Fabric through their preferred applications or use Fabric itself as a command-line interface. The repository is organized by real-world tasks, making it practical for both technical and non-technical users seeking to augment their work with AI capabilities.

According to GitGenius tracking data, Fabric maintains active development with 42,809 stargazers as of July 2026. The project shows strong community engagement with 754 tracked issues and pull requests. The most active contributors include ksylvan with 1,474 events, eugeis with 246 events, and danielmiessler with 163 events. The median response latency for issues and pull requests is 0.0 hours, indicating rapid community engagement. The most frequently used issue labels are bug (293 instances), enhancement (210 instances), and question (204 instances), reflecting a healthy mix of maintenance, feature development, and user support.

Fabric's recent development velocity demonstrates extensive expansion of AI model support and enterprise capabilities. Recent major features include Claude Opus 4.7 support with 1M-token context windows, OpenAI Codex integration, Azure AI Gateway plugin supporting multiple backends through unified authentication, Azure Entra ID authentication, Microsoft 365 Copilot integration for enterprise users, and Digital Ocean GenAI support. The framework has added comprehensive internationalization across ten languages with intelligent environment variable handling. Additional vendor support includes GitHub Models, Venice AI, Abacus, and Z AI. The project also introduced interactive HTML concept maps using Vis.js, speech-to-text capabilities via OpenAI, and expanded platform support to include Linux ARM and Windows ARM targets, enabling deployment on devices like Raspberry Pi.

The REST API server functionality allows integration into broader systems, while the pattern-based architecture enables both using existing community patterns and creating custom patterns tailored to specific needs. The repository maintains documentation in a docs folder and is referenced in the DeepWiki knowledge base for comprehensive learning resources.

Fabric's classification spans multiple AI domains including AI Gateway, Unified API, AI Framework, LLM Orchestration, AI Tools, Prompt Engineering, AI Development, AI Agents, Model Integration, and AI Applications. The project shares contributors with other significant repositories including milvus-io/milvus, anthropics/claude-code, and ollama/ollama, indicating its position within a broader ecosystem of AI infrastructure projects. The framework is sponsored by Warp, a terminal application built for coding with multiple AI agents, available across macOS, Linux, and Windows platforms.

Fabric
by
danielmiesslerdanielmiessler/Fabric

Repository Details

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