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AnythingLLM

All-in-one desktop and Docker application for chatting with documents, running local or cloud LLMs, and building private AI agents. AnythingLLM supports multiple vector databases and embed modes.

CodingProductivityAgents

How it works / How to use

All-in-one desktop and Docker application for chatting with documents, running local or cloud LLMs, and building private AI agents. AnythingLLM supports multiple vector databases and embed modes.

  1. Install or open AnythingLLM and download the model weights you plan to run.
  2. Confirm hardware requirements (RAM/VRAM) on the official documentation.
  3. Send a small test prompt locally before connecting external apps.
  4. Keep models updated using the vendor's recommended update channel.

How to prompt

Workspaces isolate document collections and model settings per use case.

Set up an AnythingLLM workspace with company HR policies and enable chat with citations for the people ops team.

Best output tips

  • Match model size to available RAM/VRAM.
  • Pin model versions for reproducible results.
  • Keep downloaded weights in a secure directory.
  • Verify current plans and limits on the official AnythingLLM website.

Try this AI

Try AnythingLLM

Product Details

Pricing, features, limits and latest updates

AnythingLLM

All-in-one desktop and Docker application for chatting with documents, running local or cloud LLMs, and building private AI agents. AnythingLLM supports multiple vector databases and embed modes.

No listed price

Pricing Plans

No listed plans.

Key Features

Chat

chat workflow (anythingllm.com).

API

api workflow (anythingllm.com).

Open Source

open source workflow (anythingllm.com).

Agents

agents workflow (anythingllm.com).

Ideas / Prompt experiences

Share a prompt that worked for you. Username and email are shown with your submission. External links are not allowed.

Example prompt

Private document workspace

Prompt

Set up an AnythingLLM workspace with company HR policies and enable chat with citations for the people ops team.

Short explanation

Workspaces isolate document collections and model settings per use case.

Example prompt

Agent with tools

Prompt

Create an AnythingLLM agent that searches uploaded support docs and drafts ticket replies for common billing questions.

Short explanation

Agent mode combines retrieval with guided response templates.

Share your experience

Required fields are marked. Variation, result, and explanation are optional.

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