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SurfSense

10,228
805
Python

Project Description

Open Source Alternative to NotebookLM / Perplexity, connected to external sources such as Search Engines, Slack, Linear, Jira, ClickUp, Confluence, Notion, YouTube, GitHub, Discord and more. Join our discord: https://discord.gg/ejRNvftDp9

SurfSense: Open Source Alternative to NotebookLM / Perplexity, connected to external sources such as Search Eng

Project Title

SurfSense — Open Source AI Research Agent with Extensive Integrations

Overview

SurfSense is an open-source AI research agent that extends the capabilities of tools like NotebookLM and Perplexity by integrating with personal knowledge bases and various external sources. It offers a customizable solution for conducting research and interacting with saved content in natural language, supporting multiple file formats and privacy-focused local LLMs.

Key Features

  • Customizable AI Research Agent: Integrates with external sources like search engines, Slack, Jira, and more.
  • Multiple File Format Uploading Support: Supports over 50 file extensions, including documents, images, and videos.
  • Powerful Search and Chat Interaction: Quickly research and find content, interact with saved content in natural language.
  • Cited Answers and Privacy: Provides cited answers like Perplexity and supports local LLMs for privacy.
  • Self-Hostable and Open Source: Easy to deploy locally, ensuring control over your data.
  • Podcast Generation: Fast creation of podcasts from chat conversations with support for multiple TTS providers.

Use Cases

  • Research and Knowledge Management: Researchers and academics can use SurfSense to manage and interact with their research materials.
  • Content Creation: Content creators can generate podcasts and other audio content quickly from chat conversations.
  • Data Privacy: Individuals and organizations concerned with data privacy can use SurfSense with local LLMs to keep their data secure.

Advantages

  • Extensive Integration: Connects with a wide range of external sources for comprehensive research capabilities.
  • Customizability: Users can tailor the tool to their specific needs and workflows.
  • Privacy Focus: Supports local LLMs, ensuring data remains private and under user control.

Limitations / Considerations

  • Complexity: The extensive feature set may require a learning curve for new users.
  • Dependency on External Services: Some functionality relies on external services, which may have their own limitations or downtime.

Similar / Related Projects

  • NotebookLM: A tool for conducting research and managing knowledge bases, but without the extensive external integrations of SurfSense.
  • Perplexity: Offers cited answers and research capabilities, yet lacks the customizable integrations found in SurfSense.
  • Obsidian: A knowledge management tool that is also highly customizable but does not have the same level of AI integration as SurfSense.

Basic Information


📊 Project Information

  • Project Name: SurfSense
  • GitHub URL: https://github.com/MODSetter/SurfSense
  • Programming Language: Python
  • ⭐ Stars: 8,291
  • 🍴 Forks: 636
  • 📅 Created: 2024-07-30
  • 🔄 Last Updated: 2025-10-05

🏷️ Project Topics

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This article is automatically generated by AI based on GitHub project information and README content analysis

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Project Information

Created on 7/30/2024
Updated on 10/31/2025