# AnythingLLM

## Kurzbeschreibung
**"The all-in-one AI application for everyone."**


**AnythingLLM** is a local or hosted AI application for knowledge bases, RAG, team chat, document queries, and AI agents. The platform can be used as a desktop app, Docker deployment, or isolated cloud instance.

## Claim
The all-in-one AI application for everyone.

## Geeignet für
- API Integration
- Automation / Workflows
- Data Extraction / Document Analysis
- Email / Communication
- Customer Service & Chatbots
- Programming / Software Development
- Research
- Texts / Content
- Knowledge Management / Internal Search

## Kernfunktionen
- API Integration
- Automation
- Chatbot
- Document analysis
- Embeddings
- AI agents
- Research
- Text generation
- Knowledge Base
- Summary

## Preismodell
- **free:** **AnythingLLM Desktop** Local single-user app with local LLMs, RAG, document chat, API, and no mandatory account.


******AnythingLLM Docker** Free self-hosted multi-user system with RAG, agents, workspace permissions, API, and custom models.
- **subscription:** **Cloud Basic** Private managed instance for smaller teams and limited document volumes.


**Cloud Pro** Managed instance for larger teams, more documents, and extended support.


**Enterprise** Custom offering with on-premise support, custom domain, integrations, and SLA.
- **other:** **Own infrastructure** Costs for servers, storage, GPUs, model providers, backups, and security operations.


**External LLM providers** Usage-based costs for OpenAI, Azure, AWS, Anthropic, or other models.

## DSGVO und Datenschutz
**Gesamteinschätzung:** Yes

**On-Prem / local hosting: covered**

The website explicitly mentions local desktop usage, offline operation, self-hosting, as well as 'On-premise installation' and 'on-premise support and installation' in the enterprise offering.

**Private Cloud / data center: partial**

The cloud offerings mention a 'Private instance' and the website describes self-hosted as well as 'Deploy to Cloud VM' paths. However, a specific EU/EEA data center or special regional data residency for private cloud is not stated on the website.

**EU SaaS / Managed: indirect / not available**

A managed cloud SaaS exists, but the website provides no information on EU/EEA data residency, no EU data center, and no EU-specific hosting option. Only AWS is mentioned as the infrastructure.

**Hybrid: partial**

The website describes local desktop/on-device usage while also supporting connection to local or cloud LLM engines as well as sync with desktop and cloud instances. This makes hybrid use technically plausible, but no explicit hybrid compliance model for the EU/EEA is described.

**DPA / AVV: indirect / not available**

A DPA/AVV is not specified on the website. Neither in the cloud terms nor in the privacy policies is a data processing agreement or a corresponding download/request option identifiable.

**No training: partial**

For desktop, it is documented that messages, chat histories, and documents remain local by default; for cloud, it states that content would not be shared or made visible and that telemetry can be disabled. However, an explicit contractual assurance on the website that prompts, uploads, chat histories, or outputs are not used to train general models is not provided.

**Open source / transparency path: covered**

AnythingLLM is explicitly described on the website as 'open source and free to use & MIT licensed'. In addition, self-hosting, Docker, local models, and documented components/integrations are available, creating a clear transparency and sovereignty path.

**Data processing**

The website describes two clearly different data processing models: For desktop, messages, chat histories, and documents remain local on the device by default and the app can run completely offline; only optional or disableable anonymous telemetry data as well as contact/hub data are sent to the provider. For AnythingLLM Cloud, registration data is collected; for operation, analytics, and payment, the website names PostHog, Stripe, and AWS. For hosted instances, the team reserves access for debugging, maintenance, and customer satisfaction. According to the cloud policy, data is stored on AWS and deleted upon termination. A specific EU/EEA storage location, a list of subprocessors, or a DPA/AVV are not stated on the website.

**Conclusion**

AnythingLLM is particularly strong for the EU/EEA when operated locally, self-hosted, or on-premise; this path is clearly documented on the website and significantly reduces GDPR risks. The managed cloud variant is documented much more weakly from a data protection perspective because key evidence for EU/EEA use is missing. Overall, this results in a positive overall picture for GDPR use **via the self-hosting/on-premise path**, but not on the basis of the standard SaaS documentation.

**Sources**

- [https://anythingllm.com/](https://anythingllm.com/)
- [https://anythingllm.com/cloud](https://anythingllm.com/cloud)
- [https://anythingllm.com/desktop](https://anythingllm.com/desktop)
- [https://docs.anythingllm.com/features/privacy-and-data-handling](https://docs.anythingllm.com/features/privacy-and-data-handling)
- [https://docs.anythingllm.com/installation-desktop/privacy](https://docs.anythingllm.com/installation-desktop/privacy)
- [https://docs.anythingllm.com/cloud/privacy-policy](https://docs.anythingllm.com/cloud/privacy-policy)
- [https://docs.anythingllm.com/cloud/terms-and-conditions](https://docs.anythingllm.com/cloud/terms-and-conditions)
- [https://docs.anythingllm.com/](https://docs.anythingllm.com/)

For the EU/EEA region, AnythingLLM can be used in the **best available usage path** in a GDPR-compliant way, because the provider offers clearly documented local/offline desktop use as well as self-hosting. The website describes for Desktop that messages, chat histories, and documents remain local by default, the app can run completely offline, and telemetry can be disabled. In addition, self-hosted and on-premise options as well as Docker/cloud VM deployments are documented. The managed cloud SaaS, on the other hand, is only documented to a limited extent from a data protection perspective for the EU/EEA, because although AWS is named as the infrastructure, no EU/EEA server location, no EU data residency, no DPA/AVV, and no list of subprocessors are stated on the website.

**Positive**

Positive aspects are the explicitly documented local/offline use, 'everything is saved locally on your device by default', the absence of a mandatory account for Desktop, the opt-out option for telemetry, the documented complete deletion of documents in the local installation, as well as the clearly offered self-hosted, Docker, and on-premise paths.

**Negative**

Negative for the SaaS/cloud assessment is that no EU/EEA data center is named on the website, no EU data residency is guaranteed, no DPA/AVV can be found, no list of subprocessors is published, and no relevant certification such as ISO 27001 or SOC 2 is specified. The cloud privacy policy also mentions support/maintenance access by the team to hosted instances.

**Server location**

For AnythingLLM Cloud, it is only stated that data is stored and processed via 'Amazon Web Services'; a specific server/data center location in the EU/EEA is not stated on the website. Mintplex Labs Inc. is described in the Cloud Terms as being located in California, USA.

## Hosting und Daten
- **On-Prem / lokales Hosting:** abgedeckt
- **Private Cloud / Rechenzentrum:** teilweise / indirekt
- **EU SaaS / Managed:** unknown
- **Hybrid:** teilweise / indirekt
- **AVV / DPA:** unknown
- **Kein Training auf Kundendaten:** teilweise / indirekt
- **Open-Source / Transparenz-Pfad:** abgedeckt

## Standort
**Land:** USA

**Taxonomie:** USA

Mintplex Labs, Inc., 1950 W Corporate Way, Ste. 25340, Anaheim, CA 92801, USA.

## Vorteile
- Very strong local-first and privacy-first approach
- Desktop, Docker, self-hosting, and isolated cloud instances
- RAG, document knowledge, agents, and team workspaces
- Support for local and external models
- MIT-licensed open-source path
- Multi-user and permissions features in server operation

## Nachteile
- Production Docker/server instances require administration and a security concept
- External LLMs, embeddings, browser tools, and connectors can transfer data from the local environment
- Managed Cloud runs on isolated AWS instances; the EU region has not been publicly clearly confirmed
- A public DPA/data processing agreement path for the cloud is not reliably documented

## Quellen
- Offizielle Website: https://anythingllm.com/

## Letzter Datenstand
2026-06-29

## Originalseite
https://kifox.ai/en/ki-tools/anythingllm-en/