Well when I’m browsing the internet or reading any files such as pdfs, docs or images, I see a lot of content—but remembering when and what you saved? Total brain freeze! That’s where SurfSense comes in. SurfSense is a Personal AI Assistant for anything you see (Social Media Chats, Calender Invites, Important Mails, Tutorials, Recipies and anything ) on the Internet or your files. Now, you’ll never forget anything. Easily capture your web browsing session and desired webpage content using an easy-to-use cross browser extension or upload your files to SurfSense. Then, ask your personal knowledge base anything about your saved content, and voilà—instant recall!
surf.v0.4.mp4
- 💡 Idea: Save any content you see on the internet in your own personal knowledge base.
- ⚙️ Cross Browser Extension: Save your browsing content from your favourite browser.
- 📁 Multiple File Format Uploading Support: Save content from your own personal files(Documents, images and more) to your own personal knowledge base .
- 🔍 Powerful Search: Quickly find anything in your saved content.
- 💬 Chat with your Saved Content: Interact in Natural Language with your saved Web Browsing Sessions and get cited answers.
- 🔔 Local LLM Support: Works Flawlessly with Ollama local LLMs.
- 🏠 Self Hostable: Open source and easy to deploy locally.
- 📊 Advanced RAG Techniques: Utilize the power of Advanced RAG Techniques.
- 🔟% Cheap On Wallet: Works Flawlessly with OpenAI gpt-4o-mini model and Ollama local LLMs.
- 🕸️ No WebScraping: Extension directly reads the data from DOM to get accurate data.
UPDATE 24 OCTOBER 2024:
- SurfSense now uses custom gpt-researcher agent to format responses.
- Added better markdown rendering to UI.
UPDATE 8 OCTOBER 2024:
- SurfSense now lets you upload your own files such as pdfs, docx, images etc into your SurfSense Knowledge Base.
- SurfSense uses Unstructured-IO to support files.
UPDATE 25 SEPTEMBER 2024:
- Thanks @hnico21 for adding Docker Support
UPDATE 20 SEPTEMBER 2024:
- SurfSense now works on Hierarchical Indices.
- Knowledge Graph dependency is removed for now until I find some better Graph RAG solutions.
- Added support for Local LLMs
Until I find a good host for my backend you need to setup SurfSense locally for now.
- Setup
SurfSense-Frontend/.envandbackend/.env - Run
docker-compose build --no-cache. - After building image run
docker-compose up -d - Now connect the extension with docker live backend url by updating
ss-cross-browser-extension/.envand building it.
For authentication purposes, you’ll also need a PostgreSQL instance running on your machine.
UPDATE : SurfSense now supports uploading various file types. To enable this feature, please set up the Unstructured.io library. You can follow the setup guide here: https://github.com/Unstructured-IO/unstructured?tab=readme-ov-file#installing-the-library
Now lets setup the SurfSense BackEnd
- Clone this repo.
- Go to ./backend subdirectory.
- Setup Python Virtual Environment
- Run
pip install -r requirements.txtto install all required dependencies. - Update/Make the required Environment variables in .env following the .env.example
- Backend is a FastAPI Backend so now just run the server on unicorn using command
uvicorn server:app --host 0.0.0.0 --port 8000 - If everything worked fine you should see screen like this.
For local frontend setup just fill out the .env file of frontend.
| ENV VARIABLE | DESCRIPTION |
|---|---|
| NEXT_PUBLIC_API_SECRET_KEY | Same String value your set for Backend |
| NEXT_PUBLIC_BACKEND_URL | Give hosted backend url here. Eg. http://127.0.0.1:8000 |
| NEXT_PUBLIC_RECAPTCHA_SITE_KEY | Google Recaptcha v2 Client Key |
| RECAPTCHA_SECRET_KEY | Google Recaptcha v2 Server Key |
and run it using pnpm run dev
You should see your Next.js frontend running at localhost:3000
Make sure to register an account from frontend so you can login to extension.
Extension is in plasmo framework which is a cross browser extension framework.
For building extension just fill out the .env file of frontend.
| ENV VARIABLE | DESCRIPTION |
|---|---|
| PLASMO_PUBLIC_BACKEND_URL | SurfSense Backend URL eg. "http://127.0.0.1:8000" |
Build the extension for your favorite browser using this guide: https://docs.plasmo.com/framework/workflows/build#with-a-specific-target
When you load and start the extension you should see a Login page like this
After logging in you will need to fill your OpenAPI Key. Fill random value if you are using Ollama.
After Saving you should be able to use extension now.
| Options | Explanations |
|---|---|
| Search Space | Think of it like a category tag for the webpages you want to save. |
| Clear Inactive History Sessions | It clears the saved content for Inactive Tab Sessions. |
| Save Current Webpage Snapshot | Stores the current webpage session info into SurfSense history store |
| Save to SurfSense | Processes the SurfSense History Store & Initiates a Save Job |
-
Now just start browsing the Internet. Whatever you want to save any content take its Snapshot and save it to SurfSense. After Save Job is completed you are ready to ask anything about it to SurfSense 🧠.
-
Now go to SurfSense Dashboard After Logging in.
| DASHBOARD OPTIONS | DESCRIPTION |
|---|---|
| Playground | See saved documents and can have chat with multiple docs. |
| Search Space Chat | Used for questions about your content in particular search space. |
| Saved Chats | All your saved chats. |
| Settings | If you want to update your Open API key. |
- Extenstion : Manifest v3 on Plasmo
- BackEnd : FastAPI with LangChain
- FrontEnd: Next.js with Aceternity.
In Progress...........
- Implement Canvas.
- Add support for file uploads QA. [Done]
- Shift to WebSockets for Streaming responses.
- Based on feedback, I will work on making it compatible with local models. [Done]
- Cross Browser Extension [Done]
- Critical Notifications [Done | PAUSED]
- Saving Chats [Done]
- Basic keyword search page for saved sessions [Done]
- Multi & Single Document Chat [Done]
Contributions are very welcome! A contribution can be as small as a ⭐ or even finding and creating issues. Fine-tuning the Backend is always desired.