Self-hosted alternatives to NotebookLM
Want AI research assistant over your own documents without handing your data to NotebookLM? These 6 self-hosted apps run on your own server (most are open source; licenses are listed below). Cheapest estimated hosting starts at about $40/month.
About NotebookLM: Google's AI notebook that answers questions about documents you upload.
| App | Health | Stars | License | Docker | RAM (est.) | From |
|---|---|---|---|---|---|---|
| Open-WebUI | Active | 157.8k | BSD-3-Clause | ✓ | 8 GB | $40/mo |
| LobeHub | Active | 84k | ⊘ Proprietary | ✓ | 8 GB | $40/mo |
| AnythingLLM | Active | 68k | MIT | ✓ | 8 GB | $40/mo |
| Onyx Community Edition | Active | 33.2k | MIT | ✓ | 8 GB | $40/mo |
| Local Deep Research | Active | 9.5k | MIT | ✓ | 8 GB | $40/mo |
| Khoj | Maintained | 38k | AGPL-3.0 | ✓ | 8 GB | $40/mo |
The options in detail
1. Open-WebUI
User-friendly AI Interface, supports Ollama, OpenAI API.
Active Last commit 2026-11-03. Latest release v0.13.0 (2026-11-03). Needs roughly 8 GB RAM. How to run it →
2. LobeHub
Modern design AI chat framework supporting multiple AI providers, one click install MCP Marketplace and Artifacts / Thinking.
Active Last commit 2026-11-05. Latest release v2.3.2-canary.2 (2026-11-05). Needs roughly 8 GB RAM. How to run it →
3. AnythingLLM
All-in-one desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
Active Last commit 2026-11-05. Latest release v1.19.0 (2026-10-26). Needs roughly 8 GB RAM. How to run it →
4. Onyx Community Edition
Chat UI that works with any LLM. It comes loaded with advanced features like agents, web search, RAG, MCP, deep research, Connectors to 40+ knowledge sources, and more.
Active Last commit 2026-11-05. Latest release helm/onyx-0.9.31 (2026-11-03). Needs roughly 8 GB RAM. How to run it →
5. Local Deep Research
AI-powered deep research tool with multi-source search (arXiv, PubMed, web), PDF text extraction, and encrypted local storage.
Active Last commit 2026-11-04. Latest release v1.10.7 (2026-08-28). Needs roughly 8 GB RAM. How to run it →
6. Khoj
Your AI second brain. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI.
Maintained Last commit 2026-08-02. Latest release 2.0.0-beta.28 (2026-03-26). Needs roughly 8 GB RAM. How to run it →
Why self-host instead of NotebookLM?
- Own your data — it lives on a server you control, with backups you decide on.
- Predictable cost — a small VPS often replaces per-seat pricing for a whole team or family.
- No lock-in — open-source licenses let you keep running the software even if a vendor disappears.
The trade-off: you are responsible for updates, backups and security. Pick an app marked Active (a commit in the last 90 days) and with Docker support for the easiest ride.
Browse related categories
Other alternatives guides
NotebookLM is a trademark of its owner; this site is not affiliated with it. Listings come from the community-maintained awesome-selfhosted list.