---
id: "action-build-hybrid-system"
type: "action-item"
source_timestamps: ["00:30:35"]
tags: ["system-architecture", "engineering"]
related: ["concept-hybrid-memory-architecture", "framework-hybrid-memory-stack"]
speakers: ["Nate B. Jones"]
action: "Store raw data in a SQL database, and use an AI agent to compile disposable markdown wikis on demand."
outcome: "Achieves multi-agent scalability while maintaining human-readable narrative synthesis."
sources: ["s11-wiki-vs-open-brain"]
sourceVaultSlug: "s11-wiki-vs-open-brain"
originDay: 11
---
# Implement a Hybrid Memory Architecture

# Action: Implement a Hybrid Memory Architecture

**Action:** Store raw data in a SQL database, and use an AI agent to compile disposable markdown wikis on demand.
**Outcome:** Achieves multi-agent scalability while maintaining human-readable narrative synthesis.

## Implementation Plan

1. **Choose a structured database**: SQLite or Postgres for relational + ACID guarantees. Consider hybrid vector stores (Pinecone, Weaviate) for semantic retrieval.
2. **Ingest all raw data into the DB**: documents, Slack messages, meeting notes, transcripts. Preserve provenance, timestamps, raw text. This is the [[concept-openbrain-architecture]] tier.
3. **Build a [[concept-context-graph]] agent**: a scheduled job that queries the DB to map relationships, dependencies, and contradictions.
4. **Run a wiki compiler**: a scheduled or on-demand agent that converts the context graph into human-readable markdown wiki pages. Treat the markdown files as **disposable**.
5. **Establish regeneration discipline**: when wiki pages drift ([[concept-wiki-staleness]]) or contain baked-in errors ([[concept-error-baking]]), delete and regenerate from the pristine database.

## The Governing Principle

From [[quote-database-is-truth]]: *The database is truth, wiki is presentation layer.*

## Framework

Fully formalized in [[framework-hybrid-memory-stack]].