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AnythingLLM

AnythingLLM is an open-source, local-first AI application and agent-orchestration framework for document chat and configurable AI-agent workflows.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

AnythingLLM — OpenViST project profile in Agent Frameworks.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use AnythingLLM when a project needs document-grounded chat together with configurable agents, local-first operation or a self-hosted multi-user workspace.

Who it is for

  • People building private document-questioning assistants
  • Teams creating multi-step AI-agent workflows
  • Developers packaging local-first desktop or self-hosted AI experiences

Documented uses

  • Ingest documents and chat with their contents
  • Configure custom agents and agentic workflows
  • Run recurring prompts or tasks with scheduled jobs
  • Create multi-user AI workspaces with permissions in the Docker version
  • Integrate an AI workspace into another product through the documented developer API
Before you choose

Requirements & limits

The project documents desktop experiences for Windows, macOS and Linux, an Android mobile project, and cloud or self-hosted deployment options. Multi-user permissions and the embeddable chat widget are documented for the Docker version. The repository is MIT licensed.

  • Local-first operation is central to the project’s positioning.
  • Document chat, agent orchestration, scheduled tasks and custom agent flows are documented capabilities.
  • Docker-specific features include multi-user permissions and an embeddable chat widget.
  • The project supports local or cloud language-model providers and multimodal use.
  • The repository is implemented in JavaScript and is published under the MIT license.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Prepare AnythingLLM for local development

Set up the repository’s environment and start its server, frontend, and document collector locally.

Before you start

  • A checkout of the AnythingLLM repository.
  • Run the listed setup and development commands from the repository root.
  • Fill in the generated environment files, including server/.env.development, before starting services.

Steps

  1. From the repository root, run yarn setup to create the required .env files.

  2. Fill in the generated environment files, ensuring server/.env.development is complete.

  3. Run yarn dev:server to start the server locally.

  4. Run yarn dev:frontend to start the frontend, then yarn dev:collector to run the document collector.

Expected outcome

The development environment is prepared and the server, frontend, and document collector can be started using the documented commands.

Guide limitations

  • The instructions do not specify dependency installation, environment variable values, or troubleshooting steps.
  • The README notes that the server may not work correctly if server/.env.development is not filled in.
  • Telemetry collects anonymous usage events; the README describes opting out by setting DISABLE_TELEMETRY to true in server or Docker environment settings, or disabling telemetry under the in-app sidebar’s Privacy section.
Documentation 1 ↗
COMPARE OPTIONS

Compare options for Agent orchestration

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
AnythingLLMIngest documents and chat with their contentsAndroid, Cloud, Desktop, LinuxThe project documents desktop experiences for Windows, macOS and Linux, an Android mobile project, and cloud or self-hosted deployment options. Multi-user permissions and the embeddable chat widget are documented for the Docker version. The repository is MIT licensed.
AgeniteDefine typed tools with JSON Schema validation and error handling.CLI
VeldraCreate an agent with a policy, tools, skills, knowledge base and reasoning method.Self-hostedThe documented deployment is self-hosted and uses a sign-in gate after a first-run administrator account is created.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
30 September 2026
Original website title
Mintplex-Labs/anything-llm · Official homepage title · retained in its source language
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