workflowstacks
ai-agent

Fablo: Simplify Hyperledger Fabric Setup

Get a Hyperledger Fabric network up and running quickly with Fablo, ideal for local development and CI processes, particularly suited for startup founders
235 stars114 forksShellGuide quality 8/10Updated 8/5/2026100% free · open source
What it does

Fablo generates and runs a Hyperledger Fabric network on Docker, ideal for local development, CI processes, and experimenting with blockchain network configurations.

When to use it
  • •Rapidly setting up a local Hyperledger Fabric network for development and testing
  • •Creating a consistent blockchain environment for continuous integration (CI) processes
  • •Experimenting with different Hyperledger Fabric network configurations, such as consensus protocols and multiple organizations
Ready-to-paste prompt
Run `make network Consensus=BFT` to start a Hyperledger Fabric network with the BFT consensus protocol
Heads up: Ensure you have Docker installed and running before attempting to use Fablo, as it relies on Docker to manage the Hyperledger Fabric network containers
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/fablo && curl -fsSL https://workflowstacks.com/api/skills/fablo/claude-skill -o ~/.claude/skills/fablo/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Fablo: Simplify Hyperledger Fabric Setup works
Codeflow
Free to inspect

Fablo: Simplify Hyperledger Fabric Setup is a medium Shell project (~9.5k lines across 110 code files, plus 19 test files). Setup is light: runs with Docker. Last commit this month, Apache-2.0 license, has a test suite.

Size
Medium codebase
~9.5k lines · 110 code files · ~1 h to skim
Setup
Light setup
Runs with Docker.
Runs on
Node.js · Docker
No API keys detected
Shell 53%TypeScript 46%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    bin/run.cmd
    Where the program starts running
  3. 3
    package.json
    Dependencies and the commands it exposes
  4. 4
    src/list-compatible-updates/index.ts
    Inside src/ — the main logic begins here
  5. 5
    samples/chaincodes/.gitignore
    A worked example — copy this to get going
What's in each folder
src/Core code — the actual logic86 files
bin/Command-line entry points4 files
samples/Examples you can copy43 files
docs/Documentation25 files
e2e-network/Folder20 files
e2e/Tests — proof it works30 files
.jaiph/Tool / agent settings10 files
.github/CI / automation (GitHub Actions)8 files
READMEHas testsDocumentedCI checksDocker readyExamples includedApache-2.0 licenseUpdated this month
Quick Actions
Details
Creator
hyperledger-labs
Language
Shell
Category
ai-agent
Published
11/29/2019

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