Brainery memory
Parts, in publishing order
- Access the 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…
- Brainery architecture
An overview of Brainery's architecture, detailing how it ingests, processes, and transforms data from diverse sources into a dynamic knowledge base.
- Building use-cases
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…
- Promoting raw data to insight
This post explains the multi-stage process of transforming raw data into structured information, and then synthesizing that information into persistent insight and…
- Append-only concept embedding log
RFC proposing a novel approach to track concept evolution using TimescaleDB with pgvector/pgvectorscale, enabling historical semantic analysis and preventing…
- Build a brain that never forgets
Explore how we solved the catastrophic forgetting problem in LLMs by building an external knowledge system that mimics learning through context manipulation, without…
- Data flow in Brainery
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…
- Database design and philosophy
A migration-less, append-only database design using TimescaleDB's hypertables and continuous aggregates to capture observational data and detect emerging patterns…
- MCP authorization over SSE
A Request for Comments (RFC) detailing a comprehensive specification for implementing OAuth 2.1 authorization within the Model Context Protocol (MCP) when using…