fabric

fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.

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Fabric is an open-source framework for augmenting humans using AI. It provides a structured approach to breaking down problems into individual components and applying AI to them one at a time. Fabric includes a collection of pre-defined Patterns (prompts) that can be used for a variety of tasks, such as extracting the most interesting parts of YouTube videos and podcasts, writing essays, summarizing academic papers, creating AI art prompts, and more. Users can also create their own custom Patterns. Fabric is designed to be easy to use, with a command-line interface and a variety of helper apps. It is also extensible, allowing users to integrate it with their own AI applications and infrastructure.

README:

`fabric`

`fabric` is an open-source framework for augmenting humans using AI.

Updates • What and Why • Philosophy • Installation • Usage • Examples • Just Use the Patterns • Custom Patterns • Helper Apps • Meta

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fabric

Updates

[!NOTE] November 8, 2024

Multimodal Support: You can now use -a (attachment) for Multimodal submissions to OpenAI models that support it. Example: fabric -a https://path/to/image "Give me a description of this image."

What and why

Since the start of 2023 and GenAI we've seen a massive number of AI applications for accomplishing tasks. It's powerful, but it's not easy to integrate this functionality into our lives.

In other words, AI doesn't have a capabilities problem—it has an integration problem.

Fabric was created to address this by enabling everyone to granularly apply AI to everyday challenges.

Intro videos

Keep in mind that many of these were recorded when Fabric was Python-based, so remember to use the current install instructions below.

Philosophy

AI isn't a thing; it's a magnifier of a thing. And that thing is human creativity.

We believe the purpose of technology is to help humans flourish, so when we talk about AI we start with the human problems we want to solve.

Breaking problems into components

Our approach is to break problems into individual pieces (see below) and then apply AI to them one at a time. See below for some examples.

Too many prompts

Prompts are good for this, but the biggest challenge I faced in 2023——which still exists today—is the sheer number of AI prompts out there. We all have prompts that are useful, but it's hard to discover new ones, know if they are good or not, and manage different versions of the ones we like.

One of fabric's primary features is helping people collect and integrate prompts, which we call Patterns, into various parts of their lives.

Fabric has Patterns for all sorts of life and work activities, including:

Extracting the most interesting parts of YouTube videos and podcasts
Writing an essay in your own voice with just an idea as an input
Summarizing opaque academic papers
Creating perfectly matched AI art prompts for a piece of writing
Rating the quality of content to see if you want to read/watch the whole thing
Getting summaries of long, boring content
Explaining code to you
Turning bad documentation into usable documentation
Creating social media posts from any content input
And a million more…

Installation

To install Fabric, you can use the latest release binaries or install it from the source.

Get Latest Release Binaries

# Windows:
curl -L https://github.com/danielmiessler/fabric/releases/latest/download/fabric-windows-amd64.exe > fabric.exe && fabric.exe --version

# MacOS (arm64):
curl -L https://github.com/danielmiessler/fabric/releases/latest/download/fabric-darwin-arm64 > fabric && chmod +x fabric && ./fabric --version

# MacOS (amd64):
curl -L https://github.com/danielmiessler/fabric/releases/latest/download/fabric-darwin-amd64 > fabric && chmod +x fabric && ./fabric --version

# Linux (amd64):
curl -L https://github.com/danielmiessler/fabric/releases/latest/download/fabric-linux-amd64 > fabric && chmod +x fabric && ./fabric --version

# Linux (arm64):
curl -L https://github.com/danielmiessler/fabric/releases/latest/download/fabric-linux-arm64 > fabric && chmod +x fabric && ./fabric --version

From Source

To install Fabric, make sure Go is installed, and then run the following command.

# Install Fabric directly from the repo
go install github.com/danielmiessler/fabric@latest

Environment Variables

You may need to set some environment variables in your ~/.bashrc on linux or ~/.zshrc file on mac to be able to run the fabric command. Here is an example of what you can add:

For Intel based macs or linux

# Golang environment variables
export GOROOT=/usr/local/go
export GOPATH=$HOME/go

# Update PATH to include GOPATH and GOROOT binaries
export PATH=$GOPATH/bin:$GOROOT/bin:$HOME/.local/bin:$PATH

for Apple Silicon based macs

# Golang environment variables
export GOROOT=$(brew --prefix go)/libexec
export GOPATH=$HOME/go
export PATH=$GOPATH/bin:$GOROOT/bin:$HOME/.local/bin:$PATH

Setup

Now run the following command

# Run the setup to set up your directories and keys
fabric --setup

If everything works you are good to go.

Add aliases for all patterns

In order to add aliases for all your patterns and use them directly as commands ie. summarize instead of fabric --pattern summarize You can add the following to your .zshrc or .bashrc file.

# Loop through all files in the ~/.config/fabric/patterns directory
for pattern_file in $HOME/.config/fabric/patterns/*; do
    # Get the base name of the file (i.e., remove the directory path)
    pattern_name=$(basename "$pattern_file")

    # Create an alias in the form: alias pattern_name="fabric --pattern pattern_name"
    alias_command="alias $pattern_name='fabric --pattern $pattern_name'"

    # Evaluate the alias command to add it to the current shell
    eval "$alias_command"
done

yt() {
    local video_link="$1"
    fabric -y "$video_link" --transcript
}

You can add the below code for the equivalent aliases inside PowerShell by running notepad $PROFILE inside a PowerShell window:

# Path to the patterns directory
$patternsPath = Join-Path $HOME ".config/fabric/patterns"
foreach ($patternDir in Get-ChildItem -Path $patternsPath -Directory) {
    $patternName = $patternDir.Name

    # Dynamically define a function for each pattern
    $functionDefinition = @"
function $patternName {
    [CmdletBinding()]
    param(
        [Parameter(ValueFromPipeline = `$true)]
        [string] `$InputObject,

        [Parameter(ValueFromRemainingArguments = `$true)]
        [String[]] `$patternArgs
    )

    begin {
        # Initialize an array to collect pipeline input
        `$collector = @()
    }

    process {
        # Collect pipeline input objects
        if (`$InputObject) {
            `$collector += `$InputObject
        }
    }

    end {
        # Join all pipeline input into a single string, separated by newlines
        `$pipelineContent = `$collector -join "`n"

        # If there's pipeline input, include it in the call to fabric
        if (`$pipelineContent) {
            `$pipelineContent | fabric --pattern $patternName `$patternArgs
        } else {
            # No pipeline input; just call fabric with the additional args
            fabric --pattern $patternName `$patternArgs
        }
    }
}
"@
    # Add the function to the current session
    Invoke-Expression $functionDefinition
}

# Define the 'yt' function as well
function yt {
    [CmdletBinding()]
    param(
        [Parameter(Mandatory = $true)]
        [string]$videoLink
    )
    fabric -y $videoLink --transcript
}

This also creates a yt alias that allows you to use yt https://www.youtube.com/watch?v=4b0iet22VIk to get transcripts, comments, and metadata.

Save your files in markdown using aliases

If in addition to the above aliases you would like to have the option to save the output to your favourite markdown note vault like Obsidian then instead of the above add the following to your .zshrc or .bashrc file:

# Define the base directory for Obsidian notes
obsidian_base="/path/to/obsidian"

# Loop through all files in the ~/.config/fabric/patterns directory
for pattern_file in ~/.config/fabric/patterns/*; do
    # Get the base name of the file (i.e., remove the directory path)
    pattern_name=$(basename "$pattern_file")

    # Unalias any existing alias with the same name
    unalias "$pattern_name" 2>/dev/null

    # Define a function dynamically for each pattern
    eval "
    $pattern_name() {
        local title=\$1
        local date_stamp=\$(date +'%Y-%m-%d')
        local output_path=\"\$obsidian_base/\${date_stamp}-\${title}.md\"

        # Check if a title was provided
        if [ -n \"\$title\" ]; then
            # If a title is provided, use the output path
            fabric --pattern \"$pattern_name\" -o \"\$output_path\"
        else
            # If no title is provided, use --stream
            fabric --pattern \"$pattern_name\" --stream
        fi
    }
    "
done

yt() {
    local video_link="$1"
    fabric -y "$video_link" --transcript
}

This will allow you to use the patterns as aliases like in the above for example summarize instead of fabric --pattern summarize --stream, however if you pass in an extra argument like this summarize "my_article_title" your output will be saved in the destination that you set in obsidian_base="/path/to/obsidian" in the following format YYYY-MM-DD-my_article_title.md where the date gets autogenerated for you. You can tweak the date format by tweaking the date_stamp format.

Migration

If you have the Legacy (Python) version installed and want to migrate to the Go version, here's how you do it. It's basically two steps: 1) uninstall the Python version, and 2) install the Go version.

# Uninstall Legacy Fabric
pipx uninstall fabric

# Clear any old Fabric aliases
(check your .bashrc, .zshrc, etc.)
# Install the Go version
go install github.com/danielmiessler/fabric@latest
# Run setup for the new version. Important because things have changed
fabric --setup

Then set your environmental variables as shown above.

Upgrading

The great thing about Go is that it's super easy to upgrade. Just run the same command you used to install it in the first place and you'll always get the latest version.

go install github.com/danielmiessler/fabric@latest

Usage

Once you have it all set up, here's how to use it.

fabric -h

Usage:
  fabric [OPTIONS]

Application Options:
  -p, --pattern=             Choose a pattern from the available patterns
  -v, --variable=            Values for pattern variables, e.g. -v=#role:expert -v=#points:30"
  -C, --context=             Choose a context from the available contexts
      --session=             Choose a session from the available sessions
  -a, --attachment=          Attachment path or URL (e.g. for OpenAI image recognition messages)
  -S, --setup                Run setup for all reconfigurable parts of fabric
  -t, --temperature=         Set temperature (default: 0.7)
  -T, --topp=                Set top P (default: 0.9)
  -s, --stream               Stream
  -P, --presencepenalty=     Set presence penalty (default: 0.0)
  -r, --raw                  Use the defaults of the model without sending chat options (like temperature etc.) and use the user role instead of the system role for patterns.
  -F, --frequencypenalty=    Set frequency penalty (default: 0.0)
  -l, --listpatterns         List all patterns
  -L, --listmodels           List all available models
  -x, --listcontexts         List all contexts
  -X, --listsessions         List all sessions
  -U, --updatepatterns       Update patterns
  -c, --copy                 Copy to clipboard
  -m, --model=               Choose model
  -o, --output=              Output to file
      --output-session       Output the entire session (also a temporary one) to the output file
  -n, --latest=              Number of latest patterns to list (default: 0)
  -d, --changeDefaultModel   Change default model
  -y, --youtube=             YouTube video "URL" to grab transcript, comments from it and send to chat
      --transcript           Grab transcript from YouTube video and send to chat (it used per default).
      --comments             Grab comments from YouTube video and send to chat
      --metadata             Grab metadata from YouTube video and send to chat
  -g, --language=            Specify the Language Code for the chat, e.g. -g=en -g=zh
  -u, --scrape_url=          Scrape website URL to markdown using Jina AI
  -q, --scrape_question=     Search question using Jina AI
  -e, --seed=                Seed to be used for LMM generation
  -w, --wipecontext=         Wipe context
  -W, --wipesession=         Wipe session
      --printcontext=        Print context
      --printsession=        Print session
      --readability          Convert HTML input into a clean, readable view
      --serve                Initiate the API server
      --dry-run              Show what would be sent to the model without actually sending it
      --version              Print current version

Help Options:
  -h, --help                 Show this help message

Our approach to prompting

Fabric Patterns are different than most prompts you'll see.

First, we use Markdown to help ensure maximum readability and editability. This not only helps the creator make a good one, but also anyone who wants to deeply understand what it does. Importantly, this also includes the AI you're sending it to!

Here's an example of a Fabric Pattern.

https://github.com/danielmiessler/fabric/blob/main/patterns/extract_wisdom/system.md

Next, we are extremely clear in our instructions, and we use the Markdown structure to emphasize what we want the AI to do, and in what order.
And finally, we tend to use the System section of the prompt almost exclusively. In over a year of being heads-down with this stuff, we've just seen more efficacy from doing that. If that changes, or we're shown data that says otherwise, we will adjust.

Examples

The following examples use the macOS pbpaste to paste from the clipboard. See the pbpaste section below for Windows and Linux alternatives.

Now let's look at some things you can do with Fabric.

Run the summarize Pattern based on input from stdin. In this case, the body of an article.

pbpaste | fabric --pattern summarize

Run the analyze_claims Pattern with the --stream option to get immediate and streaming results.

pbpaste | fabric --stream --pattern analyze_claims

Run the extract_wisdom Pattern with the --stream option to get immediate and streaming results from any Youtube video (much like in the original introduction video).

fabric -y "https://youtube.com/watch?v=uXs-zPc63kM" --stream --pattern extract_wisdom

Create patterns- you must create a .md file with the pattern and save it to ~/.config/fabric/patterns/[yourpatternname].

Just use the Patterns

If you're not looking to do anything fancy, and you just want a lot of great prompts, you can navigate to the /patterns directory and start exploring!

We hope that if you used nothing else from Fabric, the Patterns by themselves will make the project useful.

You can use any of the Patterns you see there in any AI application that you have, whether that's ChatGPT or some other app or website. Our plan and prediction is that people will soon be sharing many more than those we've published, and they will be way better than ours.

The wisdom of crowds for the win.

Custom Patterns

You may want to use Fabric to create your own custom Patterns—but not share them with others. No problem!

Just make a directory in ~/.config/custompatterns/ (or wherever) and put your .md files in there.

When you're ready to use them, copy them into:

~/.config/fabric/patterns/

You can then use them like any other Patterns, but they won't be public unless you explicitly submit them as Pull Requests to the Fabric project. So don't worry—they're private to you.

This feature works with all openai and ollama models but does NOT work with claude. You can specify your model with the -m flag

Helper Apps

Fabric also makes use of some core helper apps (tools) to make it easier to integrate with your various workflows. Here are some examples:

`to_pdf`

to_pdf is a helper command that converts LaTeX files to PDF format. You can use it like this:

to_pdf input.tex

This will create a PDF file from the input LaTeX file in the same directory.

You can also use it with stdin which works perfectly with the write_latex pattern:

echo "ai security primer" | fabric --pattern write_latex | to_pdf

This will create a PDF file named output.pdf in the current directory.

`to_pdf` Installation

To install to_pdf, install it the same way as you install Fabric, just with a different repo name.

go install github.com/danielmiessler/fabric/plugins/tools/to_pdf@latest

Make sure you have a LaTeX distribution (like TeX Live or MiKTeX) installed on your system, as to_pdf requires pdflatex to be available in your system's PATH.

pbpaste

The examples use the macOS program pbpaste to paste content from the clipboard to pipe into fabric as the input. pbpaste is not available on Windows or Linux, but there are alternatives.

On Windows, you can use the PowerShell command Get-Clipboard from a PowerShell command prompt. If you like, you can also alias it to pbpaste. If you are using classic PowerShell, edit the file ~\Documents\WindowsPowerShell\.profile.ps1, or if you are using PowerShell Core, edit ~\Documents\PowerShell\.profile.ps1 and add the alias,

Set-Alias pbpaste Get-Clipboard

On Linux, you can use xclip -selection clipboard -o to paste from the clipboard. You will likely need to install xclip with your package manager. For Debian based systems including Ubuntu,

sudo apt update
sudo apt install xclip -y

You can also create an alias by editing ~/.bashrc or ~/.zshrc and adding the alias,

alias pbpaste='xclip -selection clipboard -o'

Web Interface

Fabric now includes a built-in web interface that provides a GUI alternative to the command-line interface and an out-of-the-box website for those who want to get started with web development or blogging.
You can use this app as a GUI interface for Fabric, a ready to go blog-site, or a website template for your own projects.

The web/src/lib/content directory includes starter .obsidian/ and templates/ directories, allowing you to open up the web/src/lib/content/ directory as an Obsidian.md vault. You can place your posts in the posts directory when you're ready to publish.

Installing

The GUI can be installed by navigating to the web directory and using npm install, pnpm install, or your favorite package manager. Then simply run the development server to start the app.

You will need to run fabric in a separate terminal with the fabric --serve command.

From the fabric project web/ directory:

npm run dev

## or ##

pnpm run dev

## or your equivalent

Streamlit UI

To run the Streamlit user interface:

# Install required dependencies
pip install streamlit pandas matplotlib seaborn numpy python-dotenv

# Run the Streamlit app
streamlit run streamlit.py

The Streamlit UI provides a user-friendly interface for:

Running and chaining patterns
Managing pattern outputs
Creating and editing patterns
Analyzing pattern results

For Tasks:

Click tags to check more tools for each tasks

extract wisdom summarize analyze claims write essay create art

For Jobs:

content writer researcher student teacher artist

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latentbox

Latent Box is a curated collection of resources for AI, creativity, and art. It aims to bridge the information gap with high-quality content, promote diversity and interdisciplinary collaboration, and maintain updates through community co-creation. The website features a wide range of resources, including articles, tutorials, tools, and datasets, covering various topics such as machine learning, computer vision, natural language processing, generative art, and creative coding.

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fabric

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ColorPicker

ColorPicker Max is a powerful and intuitive color selection and manipulation tool that is designed to make working with color easier and more efficient than ever before. With its wide range of features and tools, ColorPicker Max offers an unprecedented level of control and customization over every aspect of color selection and manipulation.

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ai-notes

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

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Neurite is an innovative project that combines chaos theory and graph theory to create a digital interface that explores hidden patterns and connections for creative thinking. It offers a unique workspace blending fractals with mind mapping techniques, allowing users to navigate the Mandelbrot set in real-time. Nodes in Neurite represent various content types like text, images, videos, code, and AI agents, enabling users to create personalized microcosms of thoughts and inspirations. The tool supports synchronized knowledge management through bi-directional synchronization between mind-mapping and text-based hyperlinking. Neurite also features FractalGPT for modular conversation with AI, local AI capabilities for multi-agent chat networks, and a Neural API for executing code and sequencing animations. The project is actively developed with plans for deeper fractal zoom, advanced control over node placement, and experimental features.

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ScribbleArchitect

ScribbleArchitect is a GUI tool designed for generating images from simple brush strokes or Bezier curves in real-time. It is primarily intended for use in architecture and sketching in the early stages of a project. The tool utilizes Stable Diffusion and ControlNet as AI backbone for the generative process, with IP Adapter support and a library of predefined styles. Users can transfer specific styles to their line work, upscale images for high resolution export, and utilize a ControlNet upscaler. The tool also features a screen capture function for working with external tools like Adobe Illustrator or Inkscape.

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fabric

README:

fabric

fabric is an open-source framework for augmenting humans using AI.

Navigation

Updates

What and why

In other words, AI doesn't have a capabilities problem—it has an integration problem.

Intro videos

Philosophy

Breaking problems into components

Too many prompts

Installation

Get Latest Release Binaries

From Source

Environment Variables

Setup

Add aliases for all patterns

Save your files in markdown using aliases

Migration

Upgrading

Usage

Our approach to prompting

Examples

Just use the Patterns

Custom Patterns

Helper Apps

to_pdf

to_pdf Installation

pbpaste

Web Interface

Installing

Streamlit UI

Meta

Primary contributors

For Tasks:

For Jobs:

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`fabric`

`fabric` is an open-source framework for augmenting humans using AI.

`to_pdf`

`to_pdf` Installation