Mintplex-Labs/anything-llm
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience observed · 2026-08-28
Health v2 · maintenance only
95/100
- Activity 99
- Release rhythm 97
- Longevity 84
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 20.5
- age_days: 1187
- days_rel: 20
- days_push: 7
- n_releases_24m: 29
Adoption not part of the score
65257 stars · 7192 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
AnythingLLM is an all-in-one, local-first AI application for chatting with your documents, running AI agents, and building workflows entirely on your own device or self-hosted server. It supports multiple LLM providers (Ollama, LM Studio, OpenAI, Anthropic, etc.), vector databases, multi-user access, and a developer API, with desktop, Docker, and cloud deployment options.
Use cases
- chat with my pdf documents locally
- run a private AI assistant without cloud API keys
- build a RAG knowledge base from my files
- self-host a multi-user AI chat for my team
- run AI agents that use my local documents
- transcribe and summarize meetings on-device
- deploy a private ChatGPT alternative on Docker
- connect Ollama or LM Studio to a nice chat UI
When to choose
- you want a private, local-first AI assistant with no data leaving your machine
- you need document Q&A (RAG) with a polished UI out of the box
- you want multi-user workspaces and self-hosting via Docker
- you want agent capabilities, web scraping, and custom tools without writing code
When to avoid
- you need a lightweight library or SDK to embed RAG into your own codebase
- you require fine-grained programmatic control over the RAG pipeline internals
- you only need a raw LLM inference server rather than a full application
Facets
application · maturity active
rag chatbot agent-framework llm-inference vector-database chat-interface web-scraping speech-recognition self-hosted artificial-intelligence large-language-models chatbots self-hosted privacy developer-tools windows self-hosted cross-platform local-ai on-device-ai multi-user no-code-agents document-chat ollama lm-studio mit-license retrieval-augmented-generation ai-agents macos linux docker desktop web-server
10 sources
- readme: https://github.com/Mintplex-Labs/anything-llm · fetched 2026-08-28 · cccdf83d6ebd
- homepage: https://anythingllm.com · fetched 2026-08-28 · 80f9430ed39b
- site_page: https://docs.anythingllm.com/pro/overview · fetched 2026-08-28 · 30e4bc3deb42
- site_page: https://docs.anythingllm.com · fetched 2026-08-28 · 2cbd018288f9
- site_page: https://docs.anythingllm.com/chatting-with-documents/introduction · fetched 2026-08-28 · 88416a914085
- site_page: https://docs.anythingllm.com/pro/magic-echo · fetched 2026-08-28 · df9d10dc3357
- site_page: https://docs.anythingllm.com/installation-docker/quickstart · fetched 2026-08-28 · 03e0d46a98a5
- site_page: https://docs.anythingllm.com/changelog/overview · fetched 2026-08-28 · 3be6fd67bdb7
- site_page: https://docs.anythingllm.com/installation-desktop/privacy · fetched 2026-08-28 · 17cd630c5240
- site_page: https://docs.anythingllm.com/installation-desktop/terms · fetched 2026-08-28 · be8df0424a16
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Mintplex-Labs/anything-llm | main | 95 |
For agents
markdown · JSON · MCP: product_card(name="Mintplex-Labs/anything-llm")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem