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Showing content from https://docs.dify.ai/getting-started/install-self-hosted/local-source-code below:

Local Source Code Start - Dify Docs

Prerequisites Setup Docker and Docker Compose

Before installing Dify, make sure your machine meets the following minimum system requirements:

CPU >= 2 Core

RAM >= 4 GiB

If you need to use OpenAI TTS, FFmpeg must be installed on the system for it to function properly. For more details, refer to: Link.

Clone Dify RepositoryRun the git command to clone the Dify repository.

git clone https://github.com/langgenius/dify.git

Start Middlewares with Docker ComposeA series of middlewares for storage (e.g. PostgreSQL / Redis / Weaviate (if not locally available)) and extended capabilities (e.g. Dify’s sandbox and plugin-daemon services) are required by Dify backend services. Start the middlewares with Docker Compose by running these commands:

cd docker
cp middleware.env.example middleware.env
docker compose -f docker-compose.middleware.yaml up -d

Setup Backend ServicesThe backend services include

API Service: serving API requests for Frontend service and API accessing
Worker Service: serving the aync tasks for datasets processing, workspaces, cleaning-ups etc.

Environment PreparationPython 3.12 is required. It is recommended to use pyenv for quick installation of the Python environment. To install additional Python versions, use pyenv install. To switch to the “3.12” Python environment, use the following command: Start API service

Navigate to the api directory:
Prepare the environment variable config file

Generate a random secret key and replace the value of SECRET_KEY in the .env file

awk -v key="$(openssl rand -base64 42)" '/^SECRET_KEY=/ {sub(/=.*/, "=" key)} 1' .env > temp_env && mv temp_env .env

Dependencies installation uv is used to manage dependencies. Install the required dependencies with uv by running:
For macOS: install libmagic with brew install libmagic.
Perform the database migration Perform database migrations to the latest version:

Start the API service

uv run flask run --host 0.0.0.0 --port=5001 --debug

Expected output:

* Debug mode: on
INFO:werkzeug:WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
 * Running on all addresses (0.0.0.0)
 * Running on http://127.0.0.1:5001
INFO:werkzeug:Press CTRL+C to quit
INFO:werkzeug: * Restarting with stat
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 695-801-919

Start the Worker serviceTo consume asynchronous tasks from the queue, such as dataset file import and dataset document updates, follow these steps to start the Worker service

for macOS or Linux
```
uv run celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace
```
If you are using a Windows system to start the Worker service, please use the following command instead:

for Windows

uv run celery -A app.celery worker -P solo --without-gossip --without-mingle -Q dataset,generation,mail,ops_trace --loglevel INFO

Expected output:

-------------- celery@bwdeMacBook-Pro-2.local v5.4.0 (opalescent)
--- ***** -----
-- ******* ---- macOS-15.4.1-arm64-arm-64bit 2025-04-28 17:07:14
- *** --- * ---
- ** ---------- [config]
- ** ---------- .> app:         app_factory:0x1439e8590
- ** ---------- .> transport:   redis://:**@localhost:6379/1
- ** ---------- .> results:     postgresql://postgres:**@localhost:5432/dify
- *** --- * --- .> concurrency: 1 (gevent)
  -- ******* ---- .> task events: OFF (enable -E to monitor tasks in this worker)
  --- ***** -----
  -------------- [queues]
  .> dataset          exchange=dataset(direct) key=dataset
  .> generation       exchange=generation(direct) key=generation
  .> mail             exchange=mail(direct) key=mail
  .> ops_trace        exchange=ops_trace(direct) key=ops_trace

[tasks]
. schedule.clean_embedding_cache_task.clean_embedding_cache_task
. schedule.clean_messages.clean_messages
. schedule.clean_unused_datasets_task.clean_unused_datasets_task
. schedule.create_tidb_serverless_task.create_tidb_serverless_task
. schedule.mail_clean_document_notify_task.mail_clean_document_notify_task
. schedule.update_tidb_serverless_status_task.update_tidb_serverless_status_task
. tasks.add_document_to_index_task.add_document_to_index_task
. tasks.annotation.add_annotation_to_index_task.add_annotation_to_index_task
. tasks.annotation.batch_import_annotations_task.batch_import_annotations_task
. tasks.annotation.delete_annotation_index_task.delete_annotation_index_task
. tasks.annotation.disable_annotation_reply_task.disable_annotation_reply_task
. tasks.annotation.enable_annotation_reply_task.enable_annotation_reply_task
. tasks.annotation.update_annotation_to_index_task.update_annotation_to_index_task
. tasks.batch_clean_document_task.batch_clean_document_task
. tasks.batch_create_segment_to_index_task.batch_create_segment_to_index_task
. tasks.clean_dataset_task.clean_dataset_task
. tasks.clean_document_task.clean_document_task
. tasks.clean_notion_document_task.clean_notion_document_task
. tasks.deal_dataset_vector_index_task.deal_dataset_vector_index_task
. tasks.delete_account_task.delete_account_task
. tasks.delete_segment_from_index_task.delete_segment_from_index_task
. tasks.disable_segment_from_index_task.disable_segment_from_index_task
. tasks.disable_segments_from_index_task.disable_segments_from_index_task
. tasks.document_indexing_sync_task.document_indexing_sync_task
. tasks.document_indexing_task.document_indexing_task
. tasks.document_indexing_update_task.document_indexing_update_task
. tasks.duplicate_document_indexing_task.duplicate_document_indexing_task
. tasks.enable_segments_to_index_task.enable_segments_to_index_task
. tasks.mail_account_deletion_task.send_account_deletion_verification_code
. tasks.mail_account_deletion_task.send_deletion_success_task
. tasks.mail_email_code_login.send_email_code_login_mail_task
. tasks.mail_invite_member_task.send_invite_member_mail_task
. tasks.mail_reset_password_task.send_reset_password_mail_task
. tasks.ops_trace_task.process_trace_tasks
. tasks.recover_document_indexing_task.recover_document_indexing_task
. tasks.remove_app_and_related_data_task.remove_app_and_related_data_task
. tasks.remove_document_from_index_task.remove_document_from_index_task
. tasks.retry_document_indexing_task.retry_document_indexing_task
. tasks.sync_website_document_indexing_task.sync_website_document_indexing_task

2025-04-28 17:07:14,681 INFO [connection.py:22]  Connected to redis://:**@localhost:6379/1
2025-04-28 17:07:14,684 INFO [mingle.py:40]  mingle: searching for neighbors
2025-04-28 17:07:15,704 INFO [mingle.py:49]  mingle: all alone
2025-04-28 17:07:15,733 INFO [worker.py:175]  celery@bwdeMacBook-Pro-2.local ready.
2025-04-28 17:07:15,742 INFO [pidbox.py:111]  pidbox: Connected to redis://:**@localhost:6379/1.

Setup Web ServiceStart the web service is built for frontend pages . Environment PreparationTo start the web frontend service, Node.js v22 (LTS) and PNPM v10 are requied.

Install NodeJS Please visit https://nodejs.org/en/download and choose the installation package for your respective operating system that is v18.x or higher. LTS version is recommanded for common usages.
Install PNPM Follow the the installation guidance to install PNPM. Or just run this command to install pnpm with npm.

Start Web Service

Enter the web directory
Dependencies installation
```
pnpm install --frozen-lockfile
```

Prepare the environment variable config file Create a file named .env.local in the current directory and copy the contents from .env.example. Modify the values of these environment variables according to your requirements:

# For production release, change this to PRODUCTION
NEXT_PUBLIC_DEPLOY_ENV=DEVELOPMENT
# The deployment edition, SELF_HOSTED or CLOUD
NEXT_PUBLIC_EDITION=SELF_HOSTED
# The base URL of console application, refers to the Console base URL of WEB service if console domain is
# different from api or web app domain.
# example: http://cloud.dify.ai/console/api
NEXT_PUBLIC_API_PREFIX=http://localhost:5001/console/api
# The URL for Web APP, refers to the Web App base URL of WEB service if web app domain is different from
# console or api domain.
# example: http://udify.app/api
NEXT_PUBLIC_PUBLIC_API_PREFIX=http://localhost:5001/api

# SENTRY
NEXT_PUBLIC_SENTRY_DSN=
NEXT_PUBLIC_SENTRY_ORG=
NEXT_PUBLIC_SENTRY_PROJECT=

Build the web service

Start the web service Expected output：

   ▲ Next.js 15
   - Local:        http://localhost:3000
   - Network:      http://0.0.0.0:3000

 ✓ Starting...
 ✓ Ready in 73ms

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