AnythingLLM
Project record
Maintained by Mintplex Labs21
AnythingLLM is an application for chatting with documents and building AI agents on top of local or hosted language models. It is available as a desktop app for macOS, Windows, and Linux and as a multi-user Docker version, with connectors to many model providers and vector databases.135
- Website: Website (external site: anythingllm.com)
- Repository: Repository (external site: github.com)
- Documentation: Documentation (external site: docs.anythingllm.com)
- License: LICENSE (external site: github.com)
- Release notes: Reviewed release (external site: github.com)
Availability and license
Overall availability
Source code is public. The desktop app is a free download governed by separate desktop terms of use; AnythingLLM Cloud is a paid hosted service.1568
Availability is separate from permission: read the license before using or redistributing.
Component reuse rights
- weights
- Unknown — no complete fact-level rights review
- code
- Reviewed qualifying license recorded — check scope and conditions
- data
- Unknown — no complete fact-level rights review
- documentation
- Unknown — no complete fact-level rights review
No complete system-rights review is recorded for this release.
Public materials checklist
| Item | Status | Notes and evidence |
|---|---|---|
| Source codeIs the source code publicly readable? | Public | Public monorepo with frontend, server, document collector, and Docker build files.1 |
| DocumentationIs user documentation published? | Public | Official documentation covers the desktop and Docker versions, agents, and AnythingLLM Cloud.38 |
| InstallationAre installation instructions or packages publicly available? | Public | One-click desktop installers; Docker instructions and cloud deployment templates; and a guide for production setups without Docker.51 |
| Supported platformsAre supported operating systems or hardware documented? | Public | Desktop downloads for macOS (Apple Silicon and Intel), Windows (x64 and ARM), and Linux. The system-requirements page says M-series Macs handle local models and Intel Macs are slower, and recommends a GPU on Windows.54 |
| Release statusAre versioned releases published? | Public | Reviewed release AnythingLLM v1.16.2, published September 22, 2026. This entry describes the project rather than one release.9 |
What it is useful for
Run and use notes
- AnythingLLM collects anonymous usage telemetry; the README says it can be turned off by setting DISABLE_TELEMETRY to true or in the app's privacy settings.1
- The README lists a native embedder and built-in audio transcription as defaults, and supports any llama.cpp-compatible open model for local text generation.1
Organization context
U.S. eligibility
Eligible · basis: U.S.-governed project
AnythingLLM is published in Mintplex Labs' GitHub organization, and its LICENSE names Mintplex Labs Inc. as copyright holder. Mintplex Labs' terms of use identify Mintplex Labs, Inc. with a notice address in Anaheim, California, and say the company is located in California, United States (see the Mintplex Labs record).2167
Sources
This listing is not an endorsement, a safety assessment, or a federal approval.