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2026 · Multi-Agent Orchestration · practical guide
Orchestration — The Complete Guide
How to make several AI agents work together — without colliding, duplicating, or forgetting
A single agent is a tool. A network of agents is a force — but only if they know how to work together. This guide is the 'glue' connecting the others: how Kami (WhatsApp interface), Claude Code (dev orchestration), Hermes (studio/worker) and Kaylee (reliability + distribution) share knowledge, delegate tasks to each other, and don't step on one another. The real problem in a multi-agent network isn't each agent's capability — it's coordination: who knows what, who owns what, and how important information reaches whoever needs to act on it. In my setup (Elad) this is solved with four simple components: a shared-knowledge hub (one source of truth), an attention inbox that prioritizes what needs handling, a network protocol that defines roles and delegation, and a council of models that validates big decisions. For you — the exact same pattern works for any team of agents, whether two or ten.
6+
agents in network
one
source of truth
async
coordination
3 models
decision validation
Coordination is the hard part, not capability
A single agent is strong. A network without coordination = duplication, collisions, and lost information. This structure solves that.
Each agent with its own memory — nobody knows what the other did
Shared knowledge hub: every agent writes facts to one place everyone reads
Important info drowned inside logs and chats — forgotten
Prioritized inbox: 'what needs handling' separated from 'what happened'
Two agents handling the same task (or nobody)
Delegation matrix: every task type has a clear owner
A big decision on one model — same biases
Council of models: three models validate before an irreversible move
Who is this for?
Here's how:
Agent builders
Already have 2-3 agents and they're starting to collide? This is the stage to build a coordination layer.
Solo operators
A network working for you 24/7 — but only if the important info reaches you filtered and prioritized.
AI product teams
Multiple agents in production need ownership discipline and clear coordination channels, just like a human team.
Anyone who wants the big picture
Read about Kami/Hermes/Kaylee separately? Here's how they connect into one network.
The practical guide
Click any section to open it
Related guides
Resources & links
Elad's network code
The agent network — Kami, Hermes, Kaylee and the coordination layer
The Kami guide
The network's human interface (WhatsApp + voice)
The Hermes guide
The studio/worker — takes jobs from the orchestrator
The Kaylee guide
Infra reliability + community distribution
The Delegator guide
The central API gateway — one entry point to the network
Consultation — agent networks
Want to build a coordinated network of your own?
Build an agent network that works together
Start with two agents and one knowledge hub. Add the rest when the pain appears. Want to learn how?
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Elad Yaakobovitch
Full-Stack Developer & AI Specialist
I built a network of 6+ agents working together 24/7. The big lesson: each agent's capability was the easy part — coordinating them is what turned them into a force. This guide is based on what worked (and on duplications and orphaned tasks I learned from the hard way).