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Stop reading about AI agents.
Start building them.

Compoundry teaches you to build production multi-agent systems that actually run. Real architectures. Real coordination patterns. From someone running 10 agents daily, not someone who read a blog post about it.

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The hard parts of multi-agent systems

The stuff nobody covers because they haven't built it yet.

Multi-Agent Architecture

How to structure systems where 5, 10, or 20 agents work together without stepping on each other. Routing, hierarchy, scope boundaries.

Agent Coordination

Handoff protocols, status tracking, escalation paths. How agents delegate work and report back without losing context or duplicating effort.

Memory Systems

Short-term, long-term, shared memory patterns. How agents remember context, learn from past runs, and avoid repeating mistakes.

Production Deployment

Taking agents from prototype to daily use. Error handling, failure recovery, monitoring, and the operational reality nobody talks about.

household-system/agents.config.yaml
# Real config from a 10-agent household system
# Not a demo. This runs every day.

system:
  name: home-ops
  coordinator: ivy
  escalation_target: gary

agents:
  - name: ivy
    role: household-coordinator
    scope: routing, delegation, status-tracking
    can_delegate_to: [mason, hazel, cedar, brook]

  - name: mason
    role: home-maintenance
    scope: repairs, vendors, scheduling
    memory:
      short_term: current-tasks.md
      long_term: maintenance-history/

  - name: hazel
    role: meal-planning
    scope: recipes, grocery-lists, dietary-prefs
    handoff_protocol:
      receives_from: ivy
      reports_to: ivy
      format: structured-status

Built on systems that run today. Not slides from last quarter.

Real systems, not hypotheticals

Every architecture, pattern, and lesson comes from agents that are running in production right now. If it didn't work in practice, it doesn't get taught.

10 agents, daily

Gary runs a 10-agent household system, an AI consulting firm, and this platform. The curriculum is built from operational experience, not research papers.

AI-assisted delivery

The platform itself is built with agents. Content production, curriculum development, community management. We use what we teach.

Your weekly blueprint for building agents that work

Free. Weekly. Straight from the build log. No filler content, no recycled Twitter threads.

Every issue covers

  • Architecture decisions from live agent systems
  • Code patterns you can use immediately
  • Failures, rollbacks, and what we learned
  • Tools, frameworks, and infrastructure picks
  • What's changing in the agent landscape (and what isn't)

The Foundation Series

Your first 6 issues build a complete mental model for multi-agent systems. Each one stacks on the last.

  1. 01 Agent anatomy: scope, memory, tools
  2. 02 The handshake protocol: how agents talk
  3. 03 Memory architecture: what to remember and where
  4. 04 Failure handling: when agents break
  5. 05 Specialization: why generalist agents fail
  6. 06 Build your first agent system
G
Gary
Founder, Compoundry
10 Active agents
3 Businesses

Builder first. Teacher second.

I run a 10-agent household management system that handles everything from meal planning to home maintenance. I run an AI consulting firm that delivers with agent-assisted workflows. And I built this platform with the same agent architecture I teach.

I'm not an AI researcher. I'm not an influencer. I'm a builder who got tired of the gap between what people say AI agents can do and what actually works when you try to build them.

Compoundry exists because I needed this resource two years ago and it didn't exist. Everything here comes from building, breaking, fixing, and rebuilding real systems. That's the only way I know how to teach it.

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