FLEET ORCHESTRATION
One AI agent is useful. A fleet of them is a team.
Deploy AI agents across every machine you own — workstations, servers, laptops, and cloud VMs. They coordinate over an encrypted mesh, share memory, delegate tasks, and execute autonomously. Your private AI workforce, running 24/7.
FLEET TOPOLOGY
A private mesh that scales with your infrastructure
Every fleet node connects through Tailscale — end-to-end encrypted, zero-trust, no open ports. Add machines as you grow. Remove them when you are done. The mesh adapts.
MESH ARCHITECTURE
Four nodes. One operating layer.
Each machine runs a full YMA Agent instance. All nodes share memory, context, and task queues.
OFFICE WORKSTATION
Primary node. Voice interface, daily ops, research, and task management.
HOME SERVER
Background runs, scheduled tasks, overnight processing, and batch operations.
LAPTOP
Travel node. Meetings, live context, and on-the-go voice commands.
CLOUD VM
Dedicated compute. Heavy processing, remote coding agents, and CI integration.
CAPABILITIES
What multi-agent orchestration actually means
Not just agents on multiple machines. Agents that communicate, delegate, schedule, and share knowledge — automatically.
Multi-Machine Deployment
Install Suquo Systems on workstations, office servers, cloud VMs, and laptops. Each instance becomes a node in your private AI fleet — no central cloud required.
Agent-to-Agent Delegation
The Research agent on your office machine hands findings to the Planning agent on your laptop. Agents communicate via SSH over encrypted Tailscale tunnels — automatically.
Autonomous Task Scheduling
Agents create, schedule, and assign tasks to each other via the Planner workspace. Set up morning, midday, and evening runs. Your AI team works while you sleep.
Encrypted Mesh Networking
Every connection between fleet nodes uses Tailscale — end-to-end encrypted, zero-trust, no open ports. A private mesh VPN that only your devices can access.
Cross-Machine Memory Sync
Memory, context files, and knowledge sync across every machine in your fleet via Syncthing over Tailscale. No cold starts on any device — every agent knows everything.
Remote Coding Agents
Delegate development tasks to remote coding agents — Claude Code, Codex, Gemini CLI, and OpenCode — running on dedicated machines via SSH. Fleet-scale software development.
AGENT ROSTER
Eight agents. One conductor.
Four local specialist agents handle research, planning, documents, and memory. Four remote coding agents handle software development via SSH delegation. YMA orchestrates them all.
ORCHESTRATION MAP
Local specialists meet remote power
Each agent has a distinct role. The conductor ensures tasks flow to the right agent at the right time.
4 LOCAL AGENTS
RESEARCH
Specialist
PLANNING
Specialist
DOCUMENT
Specialist
MEMORY
Specialist
4 REMOTE CODERS
CLAUDE CODE
SSH Delegate
CODEX
SSH Delegate
GEMINI CLI
SSH Delegate
OPENCODE
SSH Delegate
USE CASES
How businesses use fleet orchestration
Real scenarios where multi-machine AI coordination delivers results that a single agent cannot.
OVERNIGHT RESEARCH
Schedule a market analysis task at 11pm. Your home server agent runs the research, writes a summary, and has it ready in your memory when you wake up. Open your laptop and ask — no re-prompting.
MULTI-MACHINE DEVELOPMENT
Your office workstation delegates a refactoring task to four remote coding agents on a cloud VM. Each agent works on a different module in parallel. Results sync back and are ready for review.
TRAVEL CONTINUITY
Leave the office mid-task. Open your laptop at the airport. The agent picks up exactly where you left off — same context, same memory, same pending tasks. Zero cold start.
TEAM HANDOFFS
Your Research agent gathers competitive intelligence and creates a structured brief. The Document agent on another machine picks it up and drafts a client presentation. The Planning agent schedules the follow-up.
FAQ
Frequently asked questions about fleet orchestration
How many machines can I deploy AI agents on?
On the Fleet tier, there is no machine limit. Deploy across desktops, laptops, servers, and cloud VMs. All machines sync through fleet orchestration over an encrypted Tailscale mesh.
How do AI agents coordinate across machines?
Agents delegate tasks to each other via SSH over Tailscale. Context, memory, and knowledge files sync automatically across all fleet nodes via Syncthing. The Research agent on one machine can hand findings to the Document agent on another.
Can AI agents run autonomously without supervision?
Yes. Set up scheduled task runs via the Planner workspace — morning, midday, evening, or custom intervals. Agents create, prioritize, and assign work to each other. Your AI team operates 24/7.
What happens if a machine goes offline?
The fleet continues operating on remaining nodes. When the offline machine reconnects, Syncthing automatically resolves any conflicts and syncs the latest context and memory. No data is lost.
Is fleet orchestration secure?
Every inter-machine connection uses Tailscale (WireGuard encryption). No ports are exposed. SSH keys are required for agent delegation. The mesh is a private VPN that only your authorized devices can access.
Your agents are waiting for instructions.
See how fleet orchestration transforms your infrastructure into a coordinated AI workforce. Book a 30-minute demo.
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