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

This guide explains how we organize content in our Memo using a Zettelkasten-inspired system, from fleeting notes to playbooks. Learn how to contribute and build our connected knowledge base.

Content arrangement in Dwarves Memo

Plonky2 is a non-Interactive Proof of Proof of Knowledge (NIPoPoK) chain that reduces blockchain size and speeds up transaction confirmations. This article explores Plonky2's technology, its applications in various blockchain projects, and compares it with other scaling solutions.

Plonky2

ZK-SNARKs is a type of zero-knowledge proof that allows one party to prove to another that a given statement is true, without revealing any additional information. This article provides an overview of zk-SNARKs, how they work, and their applications in blockchain technology.

zk-SNARKs

collectors-fallacy

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 🧠

Brainery build log

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?

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?

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.

Why build a second brain when AI can think for us?

Creating a centralized knowledge and operations hub that captures institutional memory and streamlines processes. Learn how to build systems that preserve wisdom and accelerate decision-making.

Build a central hub for knowledge & ops

An index and introduction to the mcp-playbook server documentation series, covering its purpose, setup, and operational flows.

Understanding and using the MCP playbook

Exploring the motivations behind the MCP Playbook, its role in establishing a dynamic runbook, and new patterns for capturing AI-generated knowledge like chat logs and prompts.

MCP Playbook: Automating Knowledge from AI Interactions to a Living Runbook

In an age where Large Language Models like ChatGPT offer instant access to a universe of information, it raises the question, does our own personal knowledge base still hold any value, and is building a personal knowledge base still a legitimate thing to do?

#knowledge

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