AnythingLLM vs LlamaGPT
A side-by-side comparison of two self-hosted self-hosted ai options — licensing, setup difficulty, resource needs, and what each one replaces.
AnythingLLM
All-in-one desktop and server RAG application
VS
LlamaGPT
Self-hosted offline ChatGPT-like chatbot powered by Llama
| Feature | AnythingLLM | LlamaGPT |
|---|---|---|
| Deploy effort | Under-an-hour setup | Under-an-hour setup |
| Health score | 100 · Excellent | 30 · At risk |
| Category | Self-Hosted AI | Self-Hosted AI |
| License | MIT | MIT |
| Language | JavaScript | TypeScript |
| Setup difficulty | Medium | Easy |
| Min. RAM | 4,096 MB | 8,192 MB |
| Deployment | docker, binary, bare-metal | docker |
| GitHub stars | ★ 66,385 | ★ 10,936 |
| First released | 2023 | 2023 |
| Replaces | ChatGPT, NotebookLM | ChatGPT |
What are AnythingLLM and LlamaGPT?
AnythingLLM
AnythingLLM is a full-stack application that turns documents, websites, and media into a private chatbot with retrieval-augmented generation. It supports many LLM providers and vector databases and includes multi-user workspaces and AI agents.
- Document and web RAG
- Workspace-based chats
- Pluggable LLM and vector backends
- Built-in agents
LlamaGPT
LlamaGPT is a self-hosted, offline chatbot that runs Llama-family models with a ChatGPT-style interface. It works fully on your own hardware with no data leaving your machine and integrates with home server platforms.
- Fully offline operation
- ChatGPT-style UI
- Multiple model sizes
- Umbrel one-click install
AnythingLLM vs LlamaGPT: key differences
AnythingLLM is written in JavaScript, while LlamaGPT is built with TypeScript. AnythingLLM is the lighter option, starting around 4,096 MB of RAM against 8,192 MB for LlamaGPT. AnythingLLM has the considerably larger community, at 66,385 GitHub stars versus 10,936.
Why pick each one
Choose AnythingLLM if…
- All-in-one RAG stack
- Many LLM providers
- Built-in AI agents
Watch out for
- Heavy with local models
- Quality depends on models
Choose LlamaGPT if…
- Complete privacy
- Simple Docker setup
Watch out for
- Needs significant RAM
- No GPU acceleration on some setups
Frequently asked questions
Is AnythingLLM or LlamaGPT better?
Neither is universally better. AnythingLLM has the larger community, while LlamaGPT is simpler to set up (easy difficulty). Choose based on the comparison table above and your own setup.
Are AnythingLLM and LlamaGPT free and open-source?
Yes. AnythingLLM is licensed under MIT and LlamaGPT under MIT. Both can be self-hosted at no software cost.
Can I run AnythingLLM and LlamaGPT with Docker?
AnythingLLM: yes. LlamaGPT: yes.
Which is lighter on resources, AnythingLLM or LlamaGPT?
AnythingLLM has the smaller minimum footprint at 4,096 MB of RAM, compared to about 8,192 MB for LlamaGPT. Real-world usage depends on library size, user count, and enabled features.