This service deploys AnythingLLM, an all-in-one AI application that lets you chat with documents, use multiple LLM providers, and build custom AI agents — with a full RAG pipeline built in.

Services

anythingllm: The AnythingLLM web application.

Quick Start

docker compose up -d

Open http://localhost:3001 and complete the setup wizard to connect your LLM provider.

Configuration

All LLM providers, vector databases, and agent settings are configured through the web UI after startup. No API keys are required in .env unless you want to pre-seed them via environment variables.

Variable	Description	Default
`ANYTHINGLLM_VERSION`	Image version (`latest` — no stable tags exist)	`latest`
`TZ`	Container timezone	`UTC`
`ANYTHINGLLM_PORT_OVERRIDE`	Host port for the web UI	`3001`
`ANYTHINGLLM_UID`	UID for volume file ownership	`1000`
`ANYTHINGLLM_GID`	GID for volume file ownership	`1000`
`ANYTHINGLLM_CPU_LIMIT`	CPU limit	`2`
`ANYTHINGLLM_MEMORY_LIMIT`	Memory limit	`2G`
`ANYTHINGLLM_CPU_RESERVATION`	CPU reservation	`0.5`
`ANYTHINGLLM_MEMORY_LIMIT`	Memory reservation	`512M`

Volumes

anythingllm_storage: Persists all application data, uploaded documents, embeddings, and settings.

Ports

3001: Web UI

Notes

The mintplexlabs/anythingllm image does not publish stable semantic version tags; latest is the only reliable tag.
Supports OpenAI, Anthropic, Ollama, LM Studio, and many other LLM backends — all configured from the UI.
The health check uses the /api/ping endpoint.