| Mount the storage locally and run AnythingLLM in Docker |
|
Linux/MacOs
|
```shell
export STORAGE_LOCATION=$HOME/anythingllm && \
mkdir -p $STORAGE_LOCATION && \
touch "$STORAGE_LOCATION/.env" && \
docker run -d -p 3001:3001 \
--cap-add SYS_ADMIN \
-v ${STORAGE_LOCATION}:/app/server/storage \
-v ${STORAGE_LOCATION}/.env:/app/server/.env \
-e STORAGE_DIR="/app/server/storage" \
mintplexlabs/anythingllm
```
|
|
Windows
|
```powershell
# Run this in powershell terminal
$env:STORAGE_LOCATION="$HOME\Documents\anythingllm"; `
If(!(Test-Path $env:STORAGE_LOCATION)) {New-Item $env:STORAGE_LOCATION -ItemType Directory}; `
If(!(Test-Path "$env:STORAGE_LOCATION\.env")) {New-Item "$env:STORAGE_LOCATION\.env" -ItemType File}; `
docker run -d -p 3001:3001 `
--cap-add SYS_ADMIN `
-v "$env:STORAGE_LOCATION`:/app/server/storage" `
-v "$env:STORAGE_LOCATION\.env:/app/server/.env" `
-e STORAGE_DIR="/app/server/storage" `
mintplexlabs/anythingllm;
```
|
| Docker Compose |
version: '3.8'
services:
anythingllm:
image: mintplexlabs/anythingllm
container_name: anythingllm
ports:
- "3001:3001"
cap_add:
- SYS_ADMIN
environment:
# Adjust for your environemnt
- STORAGE_DIR=/app/server/storage
- JWT_SECRET="make this a large list of random numbers and letters 20+"
- LLM_PROVIDER=ollama
- OLLAMA_BASE_PATH=http://127.0.0.1:11434
- OLLAMA_MODEL_PREF=llama2
- OLLAMA_MODEL_TOKEN_LIMIT=4096
- EMBEDDING_ENGINE=ollama
- EMBEDDING_BASE_PATH=http://127.0.0.1:11434
- EMBEDDING_MODEL_PREF=nomic-embed-text:latest
- EMBEDDING_MODEL_MAX_CHUNK_LENGTH=8192
- VECTOR_DB=lancedb
- WHISPER_PROVIDER=local
- TTS_PROVIDER=native
- PASSWORDMINCHAR=8
- AGENT_SERPER_DEV_KEY="SERPER DEV API KEY"
- AGENT_SERPLY_API_KEY="Serply.io API KEY"
volumes:
- anythingllm_storage:/app/server/storage
restart: always
volumes:
anythingllm_storage:
driver: local
driver_opts:
type: none
o: bind
device: /path/on/local/disk
|
Go to `http://localhost:3001` and you are now using AnythingLLM! All your data and progress will persist between
container rebuilds or pulls from Docker Hub.
## How to use the user interface
- To access the full application, visit `http://localhost:3001` in your browser.
## About UID and GID in the ENV
- The UID and GID are set to 1000 by default. This is the default user in the Docker container and on most host operating systems. If there is a mismatch between your host user UID and GID and what is set in the `.env` file, you may experience permission issues.
## Build locally from source _not recommended for casual use_
- `git clone` this repo and `cd anything-llm` to get to the root directory.
- `touch server/storage/anythingllm.db` to create empty SQLite DB file.
- `cd docker/`
- `cp .env.example .env` **you must do this before building**
- `docker-compose up -d --build` to build the image - this will take a few moments.
Your docker host will show the image as online once the build process is completed. This will build the app to `http://localhost:3001`.
## Integrations and one-click setups
The integrations below are templates or tooling built by the community to make running the docker experience of AnythingLLM easier.
### Use the Midori AI Subsystem to Manage AnythingLLM
Follow the setup found on [Midori AI Subsystem Site](https://io.midori-ai.xyz/subsystem/manager/) for your host OS
After setting that up install the AnythingLLM docker backend to the Midori AI Subsystem.
Once that is done, you are all set!
## Common questions and fixes
### Cannot connect to service running on localhost!
If you are in docker and cannot connect to a service running on your host machine running on a local interface or loopback:
- `localhost`
- `127.0.0.1`
- `0.0.0.0`
> [!IMPORTANT]
> On linux `http://host.docker.internal:xxxx` does not work.
> Use `http://172.17.0.1:xxxx` instead to emulate this functionality.
Then in docker you need to replace that localhost part with `host.docker.internal`. For example, if running Ollama on the host machine, bound to http://127.0.0.1:11434 you should put `http://host.docker.internal:11434` into the connection URL in AnythingLLM.
### API is not working, cannot login, LLM is "offline"?
You are likely running the docker container on a remote machine like EC2 or some other instance where the reachable URL
is not `http://localhost:3001` and instead is something like `http://193.xx.xx.xx:3001` - in this case all you need to do is add the following to your `frontend/.env.production` before running `docker-compose up -d --build`
```
# frontend/.env.production
GENERATE_SOURCEMAP=false
VITE_API_BASE="http://