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ModusBrain Skillpack: Reference Architecture for AI Agents

This is a reference architecture for how a production AI agent uses modusbrain as its knowledge backbone. Based on patterns from a real deployment with 14,700+ brain files, 40+ skills, and 20+ cron jobs running continuously. The memex vision, realized. Vannevar Bush imagined a device where an individual stores everything, mechanized so it may be consulted with exceeding speed. ModusBrain is that device, except the memex builds itself. The agent detects entities, enriches pages, creates cross-references, and maintains compiled truth automatically. Each section below is a standalone guide. Click through to the full content.

Core Patterns

The foundational read-write loop and data model.

Data Pipelines

Getting data in and keeping it current.

Operations

Running a production brain. Subagent routing (v0.11.0+): agents that dispatch background work should route through skills/conventions/subagent-routing.md — it reads ~/.modusbrain/preferences.json#minion_mode and branches between native subagents and Minion jobs. The v0.11.0 migration auto-injects a marker into AGENTS.md pointing at this convention. Cron routing (v0.11.0+): scheduled work goes through Minions, not OpenClaw’s agentTurn. See skills/conventions/cron-via-minions.md for the rewrite pattern. The v0.11.0 migration auto-rewrites entries whose handler is a modusbrain builtin; host-specific handlers (e.g. ea-inbox-sweep) need a code-level registration per docs/guides/plugin-handlers.md.

Architecture

How to structure your system.

Integrations

Wiring up your life.

Administration

Keeping it running and up to date.

Getting Started

After setup, the brain is empty. The cold-start skill sequences the highest-leverage data sources to populate it:

Appendix: ModusBrain CLI Quick Reference

Run modusbrain --help for the full command reference.

Architecture & Philosophy