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Private agents and RAGAnythingLLM

Install AnythingLLM
on managed AI hosting.

Chat with private documents, build no-code agents, and choose the model and vector database that fit the work. Darwa adds the managed runtime, HTTPS, persistent storage, and lifecycle tracking around it.

Sign-in and an active Darwa AI Agent plan are required before deployment.
Included configuration

AnythingLLM features prepared for a managed deployment.

The visible capabilities come from the verified catalog entry; secrets and signed installer assets remain private to the backend.

01

Persistent document storage

02

Generated authentication secret

03

HTTPS routing

04

Health verification

05

No-code agents

06

Multiple model providers

What teams build

Useful starting points for AnythingLLM.

Document Q&A

Create focused workspaces over private collections and retrieve relevant context for answers.

No-code agents

Give teams a visual way to configure approved models, tools, and instructions.

Knowledge workspaces

Separate projects and document collections while retaining one managed deployment boundary.

One-click flow

From catalog page to a running AnythingLLM service.

  1. 1

    Choose Install

    Darwa keeps AnythingLLM selected when the authenticated launch flow opens.

  2. 2

    Confirm a plan

    Use an active agent subscription or choose a plan with enough compute and storage.

  3. 3

    Choose an address

    Start with an agents.darwa.co address or select an eligible verified custom domain.

  4. 4

    Launch and track

    The backend verifies the manifest, creates the runtime, and records its service and container identities.

Start installing AnythingLLM
FAQ

Before you install.

Darwa hosts the open-source application independently; upstream licensing and product behavior remain with its project.

What does Darwa manage for AnythingLLM?+

Darwa manages the verified deployment manifest, isolated runtime, persistent storage allocation, HTTPS endpoint, health tracking, usage visibility, and paid-plan lifecycle. You manage the agent's models, credentials, tools, content, and decisions.

How do I install AnythingLLM?+

Choose Install AnythingLLM, sign in, and select an AI Agent plan if the workspace does not already have one. The launch flow keeps AnythingLLM selected while you choose its address and start the managed deployment.

What resources does AnythingLLM require?+

The current catalog minimum is 1 vCPU, 2 GB RAM, and 10 GB of storage. Real requirements depend on concurrency, models, document volume, integrations, and enabled features.

Does AnythingLLM data survive restarts?+

Darwa allocates persistent storage according to the selected plan. Important application data should still follow the backup and recovery practices required by your business.

Can AnythingLLM use a custom domain?+

The application can start with a managed Darwa address. A domain you own can be selected when custom-domain support is available for the launch flow and its DNS is verified.

Is Darwa affiliated with AnythingLLM?+

No affiliation is implied. AnythingLLM is a third-party open-source project. Darwa provides independent managed hosting and links to the upstream repository for project information and licensing.