# danielmiessler/Fabric

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 prompts that can be used anywhere.

Repository: https://github.com/danielmiessler/Fabric
Canonical: https://ross.abutalabs.com/products/fabric
Homepage: https://danielmiessler.com/p/fabric-origin-story
Language: Go
License: MIT
License Family: permissive
Topics: ai, augmentation, flourishing, life, work
Last push: 2026-08-09T20:55:42+00:00

## Health v2 (maintenance only)
Score: 86/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 96, release rhythm 84, longevity 69
- inputs: {"age_days": 973, "days_push": 24, "days_rel": 30, "gap_med": 0.0, "n_releases_24m": 415}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 43541, forks 4230 (observed 2026-08-28T04:12:09.062233+00:00)

## What it is
Fabric is an open-source framework for augmenting humans with AI by organizing crowdsourced AI prompts (called patterns) into a modular, reusable system. It offers a command-line interface and REST API server for applying these prompts to text and chaining them into workflows across any LLM provider.

## Use cases
- summarize articles or videos from the command line with AI
- apply curated expert prompts to any text I paste
- build reusable AI workflows by chaining prompt commands
- manage my own collection of AI prompts in one place
- expose AI prompts through a local REST API
- extract key insights from long documents with a single command

## When to choose
- you live in the terminal and want AI integrated into CLI pipelines
- you want a curated, crowdsourced library of task-specific prompts
- you want to reuse the same prompts across multiple AI providers and tools
- you want to chain AI commands into larger workflows

## When to avoid
- you need a polished graphical chat interface rather than a CLI tool
- you want fine-tuning or model training rather than prompt-based usage
- you need a fully managed hosted service with no local setup

## Facets
- artifact type: framework
- maturity: active
- function: llm-inference, prompt-engineering, cli, agent-framework, api-framework
- domain: artificial-intelligence, large-language-models, developer-tools
- platform: cross-platform, cli, windows, go
- tags: ai-prompts, prompt-library, human-augmentation, patterns, rest-api-server, llm-workflows, command-line, automation, macos, linux

## Member repositories
- danielmiessler/Fabric (main) score 86

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:09.062233+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:22:21.912400+00:00, confidence not recorded.
  - readme: https://github.com/danielmiessler/Fabric (fetched 2026-08-28T04:12:09.062233+00:00, sha e5a0f0e793db)
  - homepage: https://danielmiessler.com/p/fabric-origin-story (fetched 2026-08-29T07:46:01.757036+00:00, sha bd1d09052e4e)
  - site_page: https://danielmiessler.com/about (fetched 2026-08-29T07:46:01.766197+00:00, sha 162e0d3b74ae)
  - site_page: https://danielmiessler.com/blog/my-ai-predictions-retrospective (fetched 2026-08-29T07:46:01.769159+00:00, sha f96952f5109f)
- Data as of 2026-08-30T08:39:29.467469+00:00.