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RAGFreemiumOpen Source
ANYTHINGLLM
The all-in-one AI productivity accelerator.
MIT
ABOUT
Teams that want private AI over their own documents usually have to stitch together ingestion, embeddings, vector storage, chat UI, permissions, and model hosting by hand. AnythingLLM removes that setup burden by packaging document chat, retrieval, agents, and workspace management into one deployable app that can run locally, offline, or in a shared self-hosted environment.
INSTALL
export STORAGE_LOCATION=$HOME/anythingllm
mkdir -p $STORAGE_LOCATION
touch "$STORAGE_LOCATION/.env"
docker run -d -p 3001:3001 \
--cap-add SYS_ADMIN \
-v ${STORAGE_LOCATION}:/app/server/storage \
-v ${STORAGE_LOCATION}/.env:/app/server/.env \
-e STORAGE_DIR="/app/server/storage" \
mintplexlabs/anythingllm:latest
INTEGRATION GUIDE
1. Chat with internal documents and knowledge bases using retrieval-augmented generation
2. Run private desktop AI workflows with local models and offline access
3. Host a multi-user browser workspace with admin controls for team knowledge chat
4. Publish embeddable support or knowledge chat widgets backed by your documents
TAGS
ragdocument-chatai-agentslocal-llmself-hostedprivacymulti-user