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Second Brain — raold

Second Brain is an open-source, self-hosted knowledge-management application that stores documents, images and ideas for local-model analysis, multimodal semantic search and knowledge-graph exploration.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Second Brain — raold — OpenViST project profile in RAG & Knowledge Systems.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you want a locally hosted research or reference archive and can manage Docker, storage and local model services. The Google Drive integration is optional and requires OAuth configuration.

Who it is for

  • People building a self-hosted archive of research documents, images and notes.
  • Users who want text, image or combined semantic search over their own collection.
  • Researchers who want to explore relationships and topic clusters across stored material.

Documented uses

  • Collect and search documents, images and ideas in a personal knowledge base.
  • Find relevant material using text search, image similarity or hybrid vector and full-text search.
  • Analyze images and documents with local vision and language models, including OCR.
  • Explore connections between stored items through a knowledge graph.
  • Optionally stream and synchronize supported files from Google Drive.
Before you choose

Requirements & limits

The repository is public and licensed under AGPL-3.0. The documented setup runs with Docker Desktop; the README recommends 16 GB or more of RAM and 20 GB or more of free disk space.

  • Docker Desktop is required, and the README recommends substantial memory and disk capacity.
  • The described local stack separates the FastAPI application and PostgreSQL/pgvector storage from LM Studio, CLIP and LLaVA model services.
  • The README describes GPU services as optional for GPU-accelerated vision features.
  • Google Drive is optional and requires OAuth credentials; the integration streams files rather than requiring app storage.
  • The project is licensed under AGPL-3.0.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up the self-hosted application

Prepare the repository configuration and start the application with Docker.

Before you start

  • Docker Desktop
  • At least 16 GB RAM recommended
  • At least 20 GB free disk space recommended

Steps

  1. Clone the repository and change into its directory.

  2. Copy .env.example to .env.

  3. Run ./setup-platform.sh on Mac or Linux to configure the platform.

  4. Start the services with docker-compose up -d.

  5. Open the main app at http://localhost:8000.

Expected outcome

The README directs users to the local application at http://localhost:8000 and API documentation at http://localhost:8000/docs.

Guide limitations

  • The README labels the Windows setup and start batch files as coming soon.
  • GPU services are a separate optional setup; the README identifies them for GPU-accelerated vision features.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
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Sources checked
15 October 2026
Original website title
raold/second-brain · Official homepage title · retained in its source language
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