There’s a reason NotebookLM has such a strong hold on the source-based AI space. It’s super fast, the appointment system is superior, the podcast feature became a moment of its own, and Google keeps adding new (and very useful) things. So for most people, it’s a A no-brainer when you want to chat with documents or sources..
But if you’re not in the Google ecosystem, or don’t want to be, the The open source scene has been catching up.. And some of these alternatives not only replicate NotebookLM, but add things that Google doesn’t want or hasn’t done yet.
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Open Notebook is the choice of purists
A mature project with some installation tax.
Open Notebook is an open source self-hosted alternative to NotebookLM created by a developer using lfnovo on GitHub and running on Docker on his machine. The idea is the same as NotebookLM: enter sources, chat with them and take notes. But what goes further is the flexibility of the model.
You can point it to over 16 providers, including OpenAI, Anthropic, Google, Ollama, LM Studio, OpenRouter, and any OpenAI-compatible endpoint, and each function (Chat, Embedding, Transformation, Tools) gets its own model mapping. So you can run something small locally for embeds and link it to a cloud model for actual chat, which is the setup the docs actually recommend. Requests for summaries and reports are also fully editable, and NotebookLM keeps them completely locked.
I have written on Open Notebook back when I first got it up and running, and I still think it’s a genuinely solid tool. But the setup is a real job. Docker, model configuration, and if you try to be clever with a GGUF you already have on disk, it may fail on the first chat (mine did). And specifically on on-premises models, everything is slow: source code processing takes minutes because you run everything via nomic-embed-text on the CPU, and the first message per session is a 30-60 second cold start. Fortunately, the cloud API option solves a lot of this.
SurfSense surprised me
An alternative to NotebookLM with an interface that I really liked
SurfSense is another open source, privacy-focused NotebookLM alternative, but it’s more designed for teams and has a much broader reach. You can use the hosted version or host everything yourself via Docker (Postgres with pgvector, Redis and the backend).
Model-wise, it supports over 100 LLMs via the OpenAI and LiteLLM specification, as well as local model runners like vLLM and Ollama. Sources are where it really extends: 50+ file formats for local uploads, plus 27+ connectors to pull from Google Drive, Notion, Slack, GitHub, YouTube, and many more. YouTube is also a connector, so you don’t need the browser extension, which is specifically for saving auth-protected web pages.
I signed up for a free account and got $5 of premium credit to get started. It doesn’t automatically recharge monthly, but non-premium models remain unlimited for registered users, so the credit lasts a while. And using it was really enjoyable. I uploaded a stack of UX research documents and usability tests, and it was as smooth as NotebookLM. In fact, it mirrored the experience in many ways: clean interface, quoted answers, and a quotes panel on the right that actually links to the specific part you pulled the claim from.
You even get extras like a report generator, podcast generator, image generator, memory, web search, and even multi-tab chats within the same workspace (NotebookLM doesn’t have this). You can even set up automations if you want it to handle tasks on your behalf when you’re AFK.
AnythingLLM is better than I gave it credit for
A workspace tool that doubles as feed-based chat
AnythingLLM is a self-hosted AI workspace from Mintplex Labs and has two installation paths: a desktop app and a Docker version for team deployments. Supports 30+ LLM providers, 9+ vector databases, MCP tools, and an agent framework with web search, code execution, and SQL connectors. I’ve been running it for a while alongside my local model in LM Studio, mainly to give persistent memorybut I had never really used it as a doc tool because I assumed the default behavior meant it wasn’t actually doing a source ground.
Turns out I was kind of wrong. AnythingLLM has a chat mode per workspace that alternates between “Chat” (uses your documents and the model’s own knowledge) and “Query” (only responds if it finds the document context, refuses otherwise). Query mode is where it starts to behave like NotebookLM: source-based, with a rejection string you can customize when nothing matches. I threw in a couple of research documents, turned on query mode and it does the job.
But the experience around it is different. There’s no notes panel, no per-source visibility controls, no podcast feature, and no editable transformation messages. It’s a chat with your documents, and that’s the whole cycle. Which is fine if that’s what you want, but it means that AnythingLLM is more of an alternative solution to NotebookLM than a real alternative.
The winner became evident
Of the three, SurfSense is the one I would really recommend. It’s the closest thing to a real NotebookLM replacement, while also going above and beyond in enough places to make the change worthwhile. Open Notebook is a serious project for privacy purists, and AnythingLLM is a solid workspace tool that gets the job done. But SurfSense is the one I’ve kept a tab open on since I tried it.
