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SurfSense

MODSetter/SurfSense

NotebookLM for Competitive Intelligence Research

GraphCanon updated 3d · GitHub synced 3d · 31 views this month

16k stars1.5k forksLast push 3d Python Other

Decision brief

SurfSense is a self-hosted platform offering AI agents that can be used for competitive intelligence research. Here are some critical facts to consider when evaluating it.

Good fit when

  • - **Specific Use Cases:** If you need advanced capabilities for competitive intelligence analysis and want the flexibility of connecting various data sources through its connectors, SurfSense might be

Avoid when

  • - **Limited Free Tier Capabilities:** Since scraping and crawling are limited only by your hardware when self-hosted without billing enabled, if you have strict limitations on hardware capacity or don
Pricing:
unknown - SurfSense is distributed under a license labeled 'Other' which includes no specified pricing. It supports self-hosting with built-in billing off, making scraping and crawling capabilities only limited
Requirements:
Requires Docker

Observed Jul 11, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Very active (0d since push)
As of 3d
Provenance
Not a fork · Personal account
As of 3d
Security (OSV)
No criticals
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install SurfSense
PyPI

How it fits your stack(7)

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Relationship graph

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Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Self-hosted platform offering AI agents with competitive intelligence capabilities including connectors, automations, and MCP server through Docker-based installation.

Capability facts

MCP server
No MCP server detected

Source: repo_scan · Aug 18, 2026

Languages
python, javascript

Source: github.language+package.json · Aug 18, 2026

Categories

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README

Self-host for free

Run the entire platform, connectors, agents, automations, and the MCP server on your own infrastructure. Self-hosted installs ship with billing off, so scraping, crawling, and agent runs are limited only by your hardware and the model keys you bring.

Prerequisites: Docker Desktop must be installed and running.

For Linux/macOS:

curl -fsSL https://raw.githubusercontent.com/MODSetter/SurfSense/main/docker/scripts/install.sh | bash

For Windows:

irm https://raw.githubusercontent.com/MODSetter/SurfSense/main/docker/scripts/install.ps1 | iex

The install script sets up Watchtower automatically for daily auto-updates. To skip it, add the --no-watchtower flag. For Docker Compose, manual installation, and other deployment options, see the docs.

For agents

This page has a .md twin and JSON over the API.

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