Deployment
Docker & GPU
Docker support: Yes
GPU: Optional
Check the source notes below before assuming a GPU, transcoding workload or machine-learning feature is included in the baseline deployment.
Automation / AI / Dev
All-in-one local-first AI app to chat with documents and build agents with multi-user support
Requirements
Badges are attached to each value. An estimate is never presented as an official project requirement.
| Resource | Minimum | Recommended |
|---|---|---|
| RAM | 2 GB Official | 4 GB Estimated |
| CPU | Not stated Not stated | 2 vCPU Estimated |
| Disk | 10 GB Official | Not stated Not stated |
Disk figures describe the application footprint recorded in the dataset. Personal media, documents, backups and other user data can require substantially more storage.
RunOnVPS sizing suggestion
4 GB RAM tier
This is our sizing suggestion, derived from AnythingLLM’s recommended RAM of 4 GB. It is not an official requirement and it does not guarantee that every workload, plug-in set or media library will fit comfortably.
Affiliate link placeholder — no provider selectedThis placeholder intentionally has no URL or affiliate ID in the Day 2 build.
Deployment
Docker support: Yes
GPU: Optional
Check the source notes below before assuming a GPU, transcoding workload or machine-learning feature is included in the baseline deployment.
Commercial alternative
ChatGPT
AnythingLLM is catalogued here as a self-hosted alternative to ChatGPT. Feature parity varies, so compare your required workflow before migrating.
Source check
Minimum RAM/disk are official, from the repo BARE_METAL.md Minimum Requirements section (aim for at least 2GB RAM; minimum 10GB disk recommended) - that file covers the non-Docker production method, and no separate hardware minimum was found in the repo's Docker docs. min_cpu left blank: official docs do not state a CPU minimum. Recommended values are estimates. GPU optional: the built-in local LLM engine can run on CPU or GPU (CUDA/Vulkan); cloud LLM providers need no GPU. Official Docker image: mintplexlabs/anythingllm. GitHub stars 67493 on 2026-10-24.
Data source: https://github.com/Mintplex-Labs/anything-llm/blob/master/BARE_METAL.md
Project repository: https://github.com/Mintplex-Labs/anything-llm
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