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jhezjkp / gofabric

golang version of fabric

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fabric

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

Introduction Video • What and Why • Philosophy • Quickstart • Structure • Examples • Custom Patterns • Helper Apps • Examples • Meta

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Note

We are adding functionality to the project so often that you should update often as well. That means: go install github.com/danielmiessler/fabric in the main directory!

Introduction videos

Note

We have recently migrated to go. If you are migrating for the first time. please run

bash

pipx uninstall fabric
go install github.com/danielmiessler/fabric

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.

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.

augmented_challenges

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…

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
pattern-example

  • 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.

Quickstart

The most feature-rich way to use Fabric is to use the fabric client, which can be found under /client directory in this repository.

Installation

To install Go, visit

https://go.dev/doc/install

# Install fabric

go install github.com/danielmiessler/fabric

Note

the gui, the server and all of the helpers have have been migrated to different repositiories. please visit...

Using the fabric client

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

  1. Check out the options fabric -h
usage: fabric -h
Usage:
  fabric-go [OPTIONS]

Application Options:
  -p, --pattern=          Choose a pattern
  -C, --context=          Choose a context
      --session=          Choose a session
  -S, --setup             Run setup
  -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)
  -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
  -a, --addpattern        Add a pattern
  -A, --addcontext        Add a context
  -c, --copy              Copy to clipboard
  -m, --model=            Choose model
  -u, --url=              Choose ollama url (default: http://127.0.0.1:11434)
  -o, --output=           Output to file

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

Usage:
  fabric-go [OPTIONS]

Application Options:
  -p, --pattern=          Choose a pattern
  -C, --context=          Choose a context
      --session=          Choose a session
  -S, --setup             Run setup
  -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)
  -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
  -a, --addpattern        Add a pattern
  -A, --addcontext        Add a context
  -c, --copy              Copy to clipboard
  -m, --model=            Choose model
  -u, --url=              Choose ollama url (default: http://127.0.0.1:11434)
  -o, --output=           Output to file

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

Example commands

The client, by default, runs Fabric patterns without needing a server (the Patterns were downloaded during setup). This means the client connects directly to OpenAI using the input given and the Fabric pattern used.

  1. Run the summarize Pattern based on input from stdin. In this case, the body of an article.
pbpaste | fabric --pattern summarize
  1. Run the analyze_claims Pattern with the --stream option to get immediate and streaming results.
pbpaste | fabric --stream --pattern analyze_claims
  1. 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).
yt --transcript https://youtube.com/watch?v=uXs-zPc63kM | fabric --stream --pattern extract_wisdom
  1. create patterns- you must create a .txt file with the pattern and then run the following command. This allows you to create custom patterns
bash

fabric --addpatterns
  1. create contexts- you must create a .txt file with the context and then run the following command
bash

fabric --addcontext
  1. Sessions- sessions are persistant conversations. You can create a session by running the following command
bash

echo 'my name is ben' | fabric --session ben

Just use the Patterns

fabric-patterns-screenshot

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.

SUMMARY:

The content features a conversation between two individuals discussing various topics, including the decline of Western culture, the importance of beauty and subtlety in life, the impact of technology and AI, the resonance of Rilke's poetry, the value of deep reading and revisiting texts, the captivating nature of Ayn Rand's writing, the role of philosophy in understanding the world, and the influence of drugs on society. They also touch upon creativity, attention spans, and the importance of introspection.

IDEAS:

  1. Western culture is perceived to be declining due to a loss of values and an embrace of mediocrity.
  2. Mass media and technology have contributed to shorter attention spans and a need for constant stimulation.
  3. Rilke's poetry resonates due to its focus on beauty and ecstasy in everyday objects.
  4. Subtlety is often overlooked in modern society due to sensory overload.
  5. The role of technology in shaping music and performance art is significant.
  6. Reading habits have shifted from deep, repetitive reading to consuming large quantities of new material.
  7. Revisiting influential books as one ages can lead to new insights based on accumulated wisdom and experiences.
  8. Fiction can vividly illustrate philosophical concepts through characters and narratives.
  9. Many influential thinkers have backgrounds in philosophy, highlighting its importance in shaping reasoning skills.
  10. Philosophy is seen as a bridge between theology and science, asking questions that both fields seek to answer.

QUOTES:

  1. "You can't necessarily think yourself into the answers. You have to create space for the answers to come to you."
  2. "The West is dying and we are killing her."
  3. "The American Dream has been replaced by mass packaged mediocrity porn, encouraging us to revel like happy pigs in our own meekness."
  4. "There's just not that many people who have the courage to reach beyond consensus and go explore new ideas."
  5. "I'll start watching Netflix when I've read the whole of human history."
  6. "Rilke saw beauty in everything... He sees it's in one little thing, a representation of all things that are beautiful."
  7. "Vanilla is a very subtle flavor... it speaks to sort of the sensory overload of the modern age."
  8. "When you memorize chapters [of the Bible], it takes a few months, but you really understand how things are structured."
  9. "As you get older, if there's books that moved you when you were younger, it's worth going back and rereading them."
  10. "She [Ayn Rand] took complicated philosophy and embodied it in a way that anybody could resonate with."

HABITS:

  1. Avoiding mainstream media consumption for deeper engagement with historical texts and personal research.
  2. Regularly revisiting influential books from youth to gain new insights with age.
  3. Engaging in deep reading practices rather than skimming or speed-reading material.
  4. Memorizing entire chapters or passages from significant texts for better understanding.
  5. Disengaging from social media and fast-paced news cycles for more focused thought processes.
  6. Walking long distances as a form of meditation and reflection.
  7. Creating space for thoughts to solidify through introspection and stillness.
  8. Embracing emotions such as grief or anger fully rather than suppressing them.
  9. Seeking out varied experiences across different careers and lifestyles.
  10. Prioritizing curiosity-driven research without specific goals or constraints.

FACTS:

  1. The West is perceived as declining due to cultural shifts away from traditional values.
  2. Attention spans have shortened due to technological advancements and media consumption habits.
  3. Rilke's poetry emphasizes finding beauty in everyday objects through detailed observation.
  4. Modern society often overlooks subtlety due to sensory overload from various stimuli.
  5. Reading habits have evolved from deep engagement with texts to consuming large quantities quickly.
  6. Revisiting influential books can lead to new insights based on accumulated life experiences.
  7. Fiction can effectively illustrate philosophical concepts through character development and narrative arcs.
  8. Philosophy plays a significant role in shaping reasoning skills and understanding complex ideas.
  9. Creativity may be stifled by cultural nihilism and protectionist attitudes within society.
  10. Short-term thinking undermines efforts to create lasting works of beauty or significance.

REFERENCES:

  1. Rainer Maria Rilke's poetry
  2. Netflix
  3. Underworld concert
  4. Katy Perry's theatrical performances
  5. Taylor Swift's performances
  6. Bible study
  7. Atlas Shrugged by Ayn Rand
  8. Robert Pirsig's writings
  9. Bertrand Russell's definition of philosophy
  10. Nietzsche's walks

## Agents

NEW FEATURE! We have incorporated PraisonAI with fabric. For more information about this amazing project please visit https://github.com/MervinPraison/PraisonAI. This feature CREATES AI agents and then uses them to perform a task

```bash
echo "Search for recent articles about the future of AI and write me a 500 word essay on the findings" | fabric --agents

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

Meta

Note

Special thanks to the following people for their inspiration and contributions!

  • Jonathan Dunn for all of his help with this project, including this new go verision, as well as the gui
  • Caleb Sima for pushing me over the edge of whether to make this a public project or not.
  • Joel Parish for super useful input on the project's Github directory structure..
  • Joseph Thacker for the idea of a -c context flag that adds pre-created context in the ./config/fabric/ directory to all Pattern queries.
  • Jason Haddix for the idea of a stitch (chained Pattern) to filter content using a local model before sending on to a cloud model, i.e., cleaning customer data using llama2 before sending on to gpt-4 for analysis.
  • Dani Goland for enhancing the Fabric Server (Mill) infrastructure by migrating to FastAPI, breaking the server into discrete pieces, and Dockerizing the entire thing.
  • Andre Guerra for simplifying installation by getting us onto Poetry for virtual environment and dependency management.

Primary contributors

fabric was created by Daniel Miessler in January of 2024.

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golang version of fabric

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