I run IT and cybersecurity ops by day and tinker in a homelab at night. The problem I kept hitting: useful context from Cursor and Claude Code sessions evaporates when the chat ends. Notes end up scattered. RAG demos are cloud-first. I wanted something I own.
So I built Brain AI Hub: a portable second brain with a local LLM, markdown vault, semantic search, and MCP hooks for IDE agents.
What it does
-
Local LLM - Ollama (qwen2.5, nomic-embed). OpenAI-compatible API on
:11434. - Knowledge store - Obsidian-style vault, PDF/EPUB library, sqlite-vec RAG, lightweight knowledge graph.
-
Agent bridge - three MCP servers (
brain-vault,brain-library,brain-rag) with one-click deploy to Cursor, Claude Code, VS Code. - Transcript pipeline - distills exports from Claude/Cursor/Antigravity into vault markdown, dedupes, indexes code, runs scheduled jobs.
-
Dashboard - FastAPI UI on
:7860for services, chat, GPU/VRAM, API keys, pipeline status.
Two editions
| Edition | Install |
|---|---|
| Windows portable |
Install.bat then Start.bat - copy the folder, run on another PC |
| Linux server | Run linux/bootstrap.sh on the server (see repo README) - MCP SSE gateway on :7862 for LAN clients |
Install scripts speak English and Polish. Set LANG=en or LANG=pl in locale.env.
MCP in practice
On Windows, Brain deploys stdio MCP configs from the dashboard. On Linux, point Cursor at the SSE gateway:
{"mcpServers":{"brain-rag":{"url":"http://192.168.1.10:7862/sse/brain-rag"}}}
Agents can search your vault, pull library chunks, and run skills without sending data to a third-party memory API.
Why MCP instead of only RAG?
RAG answers retrieval. MCP gives agents tools: write a note, list vault files, trigger a skill, query the code index. That matches how Cursor and Claude Code actually work: function calls mid-session, not a single embedding search at prompt time.
Stack
Python, FastAPI, Ollama, sqlite-vec, PowerShell (Windows), systemd (Linux). Homelab-friendly: MikroTik/UniFi networking, WireGuard, Docker where it helps.
Try it
git clone https://github.com/lobrzut/brain.git
cd brain
# Windows: Install.bat && Start.bat
# Linux: curl -fsSL https://raw.githubusercontent.com/lobrzut/brain/main/linux/bootstrap.sh | sudo bash
Open http://127.0.0.1:7860, connect MCP from the Tools tab, drop a PDF in the library, run a distill job on an old chat export.
Feedback and issues welcome on GitHub.
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