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AnythingLLM RAG Workbench

AI Platform & Data AnythingLLM v1.17.0 Hardened AMI

AnythingLLM 1.17.0 on Ubuntu 24.04 LTS, ready to run in your own AWS account. AnythingLLM lets you load documents and web pages into workspaces and ask questions about them with the LLM and embedding providers you choose (retrieval-augmented generation). Your documents stay on an EBS volume you control, and the UI listens on the instance itself: you open it through AWS Systems Manager port forwarding. This page covers what is on the image, the defaults it ships with and how billing works.

AMI release
0.11.5 (AnythingLLM v1.17.0)
Recommended
t3.medium
Storage
40 GiB+ encrypted gp3
Access
Session Manager, no inbound ports
Released
Oct 12, 2026
Delivery
Amazon Machine Image in your own AWS account

Chat with your own documents and web pages (RAG) using the LLM and embedding providers you choose, including Amazon Bedrock through its OpenAI-compatible endpoint.

Documents persist on your EBS volume, and each instance creates its own admin password on first boot.

The UI stays off the internet

It binds to localhost and you reach it through Session Manager port forwarding.

Quick start

Full guide →
  1. Subscribe
  2. Launch the instance
  3. Connect and wait for first boot
  4. Run the walkthrough
  5. Get the admin password
  6. Open the UI
  7. Connect a model
  8. Chat with a document

What is on the image

  • AnythingLLM 1.17.0, as a Software Sushi container image built from the upstream release and run by Docker as the container sushi-anythingllm.
  • Chrome for Testing, pinned separately, for the built-in web page collector.
  • A systemd service, anythingllm, that starts the container at boot.
  • First-boot setup that creates this instance's admin password and the application's signing secrets. Nothing secret is baked into the image.
  • Persistent storage for documents, settings and vectors in /var/lib/anythingllm.
  • A walkthrough script, /opt/sushi/docs/demo.sh, that checks the installation for you.

No provider keys or model weights are included. You configure your LLM and embedding providers in the UI after launch.

Defaults

Setting Default
UI http://127.0.0.1:3001 (loopback only)
Sign-in Single password, in /etc/anythingllm/admin.password, root only
Storage /var/lib/anythingllm, kept across restarts and reboots
Telemetry Off
Health http://127.0.0.1:3001/api/ping

Ports

Port Protocol Listens on Purpose
3001 HTTP 127.0.0.1 AnythingLLM UI and API

No inbound security group rule is needed. You reach the UI with Session Manager port forwarding.

t3.medium (4 GiB of memory) with an encrypted gp3 root volume of at least 40 GiB and IMDSv2. Documents and vectors grow with use, so watch disk space. The default vector database needs a CPU with AVX2; T3 instances provide it.

Billing

You pay an hourly software fee while the instance runs, as shown in the offer terms on the listing, which also shows any free trial. AWS bills EC2, EBS and data transfer separately. Your model providers bill their own usage.

Where to go next

Upstream project

AnythingLLM is developed by Mintplex Labs and published under the MIT license. Google Chrome terms apply separately to the bundled browser. See the AnythingLLM documentation for workspaces, providers, agents and the API. Software Sushi packages the image; Mintplex Labs does not endorse it, and Mintplex Labs and Google support are not included.

Last updated October 14, 2026 · Suggest an improvement