head to head · open source

AnythingLLM vs invisible_dots

AnythingLLM has 66,807 GitHub stars, 7,455 forks, 311 open issues and last shipped today. invisible_dots has 31,817 stars, 4,695 forks, 0 open issues and last shipped today. AnythingLLM leads on adoption by 110% (66,807 vs 31,817 stars). AnythingLLM is written in JavaScript under MIT; invisible_dots is written in TypeScript under MIT. AnythingLLM has attracted 11% as many forks as stars, invisible_dots 15%. invisible_dots was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (agentic-ai, ai-agents, computer-use), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

AnythingLLM ★ 67K invisible_dots ★ 32K category AI & Machine Learning

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Side by side

AnythingLLM invisible_dots
GitHub stars ★ 67K ★ 32K
License MIT MIT
Written in JavaScript TypeScript
Last push 2026-10-08 2026-10-08
Forks ⑂ 7.5K ⑂ 4.7K
Self-hosting Yes Yes
Data ownership Your server Your server

pick AnythingLLM if

  • You weight community size — 67K stars and counting
  • You want the MIT license terms
  • Your stack matches JavaScript
  • You value the larger contributor base for long-term maintenance

full AnythingLLM profile →

pick invisible_dots if

  • You want the invisible_dots feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches TypeScript
  • You evaluated both and invisible_dots fits your workflow better

full invisible_dots profile →

About AnythingLLM

AnythingLLM is a local first AI application that enables users to chat with their documents using any large language model (LLM), local or cloud hosted. It runs as a self hosted service—by default in Docker—and provides a complete interface for document ingestion, agent orchestration, multi user access, and workflow automation without requiring external cloud dependencies. The project lives in the local AI and AI interaction ecosystem, targeting users who want full control over their data and model selection.

read the full AnythingLLM overview →

About invisible_dots

invisible dots is an open source, self hosted alternative to OpenAI Dots and Grok Bot that gives you your own AI agent running on a private, hardware virtualised computer with an anti detect browser.

read the full invisible_dots overview →

More in AI & Machine Learning

OpenClaw ★ 392K Hermes Agent ★ 252K Ollama ★ 183K Dify ★ 158K ponytail ★ 158K Open WebUI ★ 154K

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openclaw vs anythingllm openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs comfyui openclaw vs odysseus openclaw vs lobechat openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs odysseus ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all openclaw vs dify openclaw vs multica openclaw vs langgraph n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail

More AI Interaction & Interfaces projects

Compare either of these against the rest of the AI Interaction & Interfaces field.

AnythingLLM vs OpenClaw AnythingLLM vs Hermes Agent AnythingLLM vs Open WebUI AnythingLLM vs ComfyUI AnythingLLM vs odysseus AnythingLLM vs LobeChat AnythingLLM vs Cherry Studio AnythingLLM vs nanobot AnythingLLM vs LibreChat AnythingLLM vs Jan AnythingLLM vs chatbox AnythingLLM vs openhuman

Frequently asked questions

Is AnythingLLM or invisible_dots more popular?

AnythingLLM has 66,807 GitHub stars and invisible_dots has 31,817. AnythingLLM has the larger community by that measure.

Are AnythingLLM and invisible_dots free?

Both are open source. AnythingLLM is licensed under MIT and invisible_dots under MIT. Neither carries a licence fee.

What is the difference between AnythingLLM and invisible_dots?

AnythingLLM is written in JavaScript and invisible_dots in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, AnythingLLM or invisible_dots?

Choose AnythingLLM if you want the larger community (66,807 stars) or its MIT licence terms. Choose invisible_dots if its feature set, stack or MIT licence fits better. Both are self-hostable.