Munder Difflin's Architecture: Two Data Planes, One Renderer
A walkthrough of the multi-agent harness architecture: a node-pty terminal plane and a hooks/hive event plane feeding one React + Pixi.js renderer.
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29 posts tagged Multi-Agent.
A walkthrough of the multi-agent harness architecture: a node-pty terminal plane and a hooks/hive event plane feeding one React + Pixi.js renderer.
An honest 2026 roundup of tools to run multiple Claude Code agents — Claude Squad, Conductor, Crystal, vibe-kanban, and Munder Difflin — compared.
Claude Code git worktrees vs a hive: when isolated worktrees suffice for parallel agents, and when you need memory, messaging, and an orchestrator on top.
Claude Squad vs Munder Difflin: a lean terminal session manager against a memory-backed, orchestrated, visual hive. Feature table and an honest verdict.
How to debug a multi-agent system: use the event log, per-agent terminals, message trails, and git history to find why a hive of AI agents went sideways.
What Claude Squad does well, where it stops, and why a memory-backed, orchestrated hive may be the Claude Squad alternative you're after.
vibe-kanban gives you a board to assign tasks to coding agents. When a self-routing hive is the better vibe-kanban alternative — and when a board wins.
Plain-English definitions of the AI coding agent terms everyone trips over — harness, orchestrator, hive, subagent, agent memory — each in one line.
The workflow shift from a single Claude Code session to a coordinated team of agents — what changes, where it breaks, and the concrete before-and-after.
A decision framework for choosing a multi-agent coding tool — memory, control, visibility, cost, local-first — with a simple scoring rubric you can run.
Design human-in-the-loop AI agents that stay autonomous: an approvals queue that escalates only spend, destructive ops, and scope changes.
Answers to the top Munder Difflin questions — what it is, is it free, does it run locally, which platforms, and how it differs from many terminals.
What it takes to run a self-coordinating office of AI coding agents that keeps shipping after you log off — and the guardrails that keep it sane.
Parallel agents corrupt a repo with index.lock races. The single-committer pattern — agents write, one process commits — fixes concurrent git writes.
Claude Code agents explained in plain English — what an agent actually is, how subagents differ, and the leap from one agent to a coordinated team.
The control, privacy, and cost case for keeping your AI agents and their memory on your own machine — and what cloud orchestration quietly costs.
The origin story of Munder Difflin — how the pain of juggling Claude Code terminals led to a coordinated, memory-backed hive of agents you can watch.
How an append-only event log makes a multi-agent system debuggable and replayable: what to record, and why one JSON line per event beats a database.
Run several Claude Code agents in parallel without the chaos: give each a role, let them coordinate, and stop alt-tabbing between terminal windows.
Can Claude Code agents talk to each other? Yes — the outbox-router-inbox design that lets agents message safely using plain files and atomic renames.
A deep dive into the Claude Code orchestrator: how a GOD agent reads requests, routes work, adjudicates routine traffic, and escalates the critical few.
The best way to coordinate AI coding agents: single-writer files, a message router, a one-scribe plan, and an orchestrator — cooperate, not clobber.
How to orchestrate Claude Code agents in practice: what orchestration means, how a GOD orchestrator routes and escalates work, and how to wire it up.
Markdown-first AI agent long-term memory: plain notes a human can read and git can diff, with a semantic index on top that degrades gracefully.
What semantic memory for AI agents is, why a markdown-first store beats a heavy DB, and how a shared palace lets a hive recall a note by meaning, fast.
Tactics to manage multiple Claude Code sessions without losing track: naming, roles, context isolation, and when a harness beats juggling terminal tabs.
A from-zero Claude Code multi-agent setup: install Munder Difflin, onboard, spawn a few agents, and watch the GOD orchestrator route your first task.
Claude Code subagents vs a multi-agent harness: where subagents stop and a harness with shared memory, messaging, and an orchestrator takes over.
A multi-agent harness coordinates several AI coding agents into one team — here's what that means, and how it differs from a single agent or a framework.