DevNet Launcher

Run a complete local Accumulate network on your machine in seconds. Develop and test without touching the public testnet — just Docker and a single command.

Quickstart

From zero to a running local Accumulate network

Prerequisites

You need Docker and Docker Compose installed on your machine. The DevNet Launcher uses Docker containers to run the Accumulate node, block explorer, and faucet services.

Install Docker

# Clone the DevNet launcher
git clone https://github.com/opendlt/accumulate-devnet.git
cd accumulate-devnet

# Start all services
docker compose up -d

# Verify everything is running
docker compose ps

What You Get

A complete local development environment for Accumulate

Full Node

A complete Accumulate node running locally. Create identities, issue tokens, write data entries, and test every protocol operation without rate limits or network latency.

Block Explorer

A local block explorer UI to inspect transactions, accounts, and blocks. Trace the full lifecycle of your operations from submission to anchoring.

Faucet

An unlimited token faucet for your local network. Fund test accounts instantly without waiting for public testnet faucet limits to reset.

API Endpoints

Full JSON-RPC and REST API access on localhost. Point any Accumulate SDK at http://localhost:26660 and start building immediately.

Default Endpoints

Services available after running docker compose up -d

Accumulate Node (JSON-RPC) ... http://localhost:26660/v3
Accumulate Node (REST)    ... http://localhost:26660/v3
Block Explorer            ... http://localhost:8080
Faucet                    ... http://localhost:26660/faucet

# Point any SDK at your local DevNet
from accumulate import Accumulate

client = Accumulate("http://localhost:26660")
# All operations now run against your local network

# Stop the DevNet when you're done
docker compose down

# Stop and remove all data (clean slate)
docker compose down -v

Start Building Locally

Clone the repo, run one command, and you have a full Accumulate network on your machine. Pair it with any SDK or use Studio to connect.

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