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second-brain

raold

🧠 AI Second Brain — 100% Local Knowledge Management Private, self-hosted second brain.

Open raold/second-brain → Manually confirmed as a workspace.

brain-inspired-aiknowledge-graphknowledge-managementmemory-systemsmultimodalpgvectorprivacy-first-aireal-time-streamingsemantic-searchvector-database

Built for Claude Code

ships .claude CLAUDE.md and nothing for other agents.

In its own words

Aboutraold/second-brain

Store, search, and synthesize documents, images, and ideas with local LLMs (LLaVA, CLIP) and PostgreSQL + pgvector. Features multimodal search, knowledge graphs, gDrive streaming, and real-time analysis — all offline, no API keys, no cloud, no limits.

README.md
100% Local AI-Powered Knowledge Management System

🚀 v5.0: NO API KEYS REQUIRED! Run entirely on local models with CLIP, LLaVA, and LM Studio. Complete privacy, zero monthly costs, unlimited usage.

🎯 What is Second Brain?

Second Brain is your personal AI-powered knowledge management system that runs 100% locally on your machine. Store, search, and synthesize all your documents, images, and ideas using state-of-the-art AI models - without sending a single byte to the cloud.

✨ Key Features

🧠 Fully Local AI Stack
  • LM Studio (port 1234): Text generation with LLaVA 1.6 Mistral 7B
  • CLIP Service (port 8002): Image embeddings and similarity search
  • LLaVA Service (port 8003): Advanced vision understanding and OCR
  • Nomic Embeddings: Fast text embeddings (768 dimensions)
🔍 Multimodal Search
  • Search by text, image, or both simultaneously
  • Semantic understanding of documents and images
  • Sub-100ms query performance
  • Hybrid search combining vectors and full-text
📁 Google Drive Integration
  • OAuth 2.0 authentication
  • Stream files using Google Drive API - no storage required
  • Automatic document synchronization
  • Process Google Docs, Sheets, PDFs, and images
  • Maintain folder structure and metadata
🔗 Knowledge Graph
  • Automatic relationship discovery
  • Interactive visualization
  • Topic clustering and analysis
  • Memory consolidation and deduplication

The repository's own description, then 36% of its README. Read the rest on GitHub ↗

Read from the repository's git tree on 2026-08-17.