The AI Second Brain

Build a self-improving knowledge base with and for AI agents: 8x a context window of memory, reached for about 1K tokens a query.

Join the waitlist

Coming soon: a practical engineering guide

AI assistants can capture notes, summarize sources, and answer questions. That is not the same as reliable long-term memory. Left alone, an agent-fed knowledge base accumulates duplicates, loses provenance, silently overwrites history, and treats failed reads as empty results.

This book teaches the discipline the frontier AI labs apply to their own repositories: machine-readable context, review gates, isolation, and deterministic verification: scaled down to a knowledge base you own:

capture → screen → gate → promote

What you will build

Automated capture with provenance, watermarks, and idempotent retries: no duplicates, no lost sources.
Fail-closed curation: uncertain, malformed, or secret-bearing material never enters durable memory.
Review gate ladders that scale scrutiny to consequence, from deterministic checks to human approval.
Supersession, not overwrite: knowledge is replaced with an explicit audit trail, never silently clobbered.
Operations that survive scale: bounded batches, loud truncation, and quality that is measured, not assumed.

Written from a production system that runs this pipeline every day: including the incidents, the failed designs, and the guards they produced.

The code is open

The companion repository: reference architecture, roadmap, and a working scaffold as it grows: is MIT-licensed and public today:

github.com/chimera00/ai-second-brain

Get the launch announcement

Join the waitlist. One confirmation email now, launch news when the book ships: nothing else.

Double opt-in: check your inbox to confirm. Unsubscribe anytime.