This page explains our knowledge base, which is basically our team's shared brain where we keep important stuff. Using it helps us work smarter together and makes sure we don't lose good ideas or lessons learned.

Knowledge base

Our second brain

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The official Brainery build-log. We're detailing our process for creating a 'second brain' designed for continuous learning and insight generation. Covers motivation, system design, and practical data-to-wisdom strategies.

§ Brainery 🧠

This page outlines how developers can connect to and utilize Brainery's extensive knowledge base and AI-driven capabilities. By integrating a straightforward MCP configuration, you can seamlessly access powerful insights directly within your existing development tools and workflows.

Access the brainery

An overview of Brainery's architecture, detailing how it ingests, processes, and transforms data from diverse sources into a dynamic knowledge base.

Architecture

What’s the point of being human if AI thinks for us? Explore how emotions, creativity, relationships, and purpose make humanity unique in an AI-driven world.

The point of being human if AI can think?

How data flows through Brainery's second brain system, from Discord, Memo Blog, and GitHub sources to TimescaleDB via MCP, with an LLM-powered interface for natural language queries.

Data flow in Brainery

A migration-less, append-only database design using TimescaleDB's hypertables and continuous aggregates to capture observational data and detect emerging patterns through LLM analysis.

Database design and philosophy

Exploring the core motivations and principles behind building a personal knowledge management system, a true second brain.

Continual learning DIKW pyramid

Discover the human edge in empathy, creativity, intuition, and purpose, where we surpass AI. Learn practical solutions to overcome challenges like AI reliance and isolation to thrive in a tech-driven world.

Human edge in AI world

Explore how we solved the catastrophic forgetting problem in LLMs by building an external knowledge system that mimics learning through context manipulation, without touching the model's parameters.

Build a brain that never forgets

This post explains the multi-stage process of transforming raw data into structured information, and then synthesizing that information into persistent insight and knowledge within a true second brain, leveraging tools like TimescaleDB and LLMs.

Promoting raw data to insight

See how Brainery changes your reading game, helping you learn more and find new things to read, all in a smart loop.

Reading after brainery

Does using AI make you pretend to know? Learn how a second brain helps you truly understand by curating and connecting knowledge, not just querying AI.

Does AI make you pretend to know?

A Request for Comments (RFC) detailing a comprehensive specification for implementing OAuth 2.1 authorization within the Model Context Protocol (MCP) when using Server-Sent Events (SSE) as the transport mechanism, ensuring vendor-neutral security for AI-to-tool communication.

MCP authorization over SSE

RFC proposing a novel approach to track concept evolution using TimescaleDB with pgvector/pgvectorscale, enabling historical semantic analysis and preventing catastrophic forgetting in continual learning systems.

Append-only concept embedding log

Building systems that actually learn and get smarter over time is hard, facing challenges with traditional databases and LLMs. This post outlines an approach to building a true second brain that continuously learns, generates insight, and remembers it through an append-only log and flexible data structures.

Building use-cases

Discover why a personal second brain is still valuable in the AI era. Learn how it curates knowledge, sparks creativity, and complements LLMs for deeper insights.

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