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Lighthouse Swarm is a multi-agent orchestration system that lets you build, manage, and deploy teams of AI agents from a single command. Instead of running one agent at a time, you can spin up an entire fleet of specialised agents that work together on complex tasks. Each agent has its own role, tools, and context, and they coordinate through a shared Kanban board.
Traditional AI agent setups take minutes to initialise. Lighthouse Swarm starts in under a second, so you can go from idea to execution instantly. The system pre-loads common agent configurations and maintains warm connections to your tools and data sources. This means your agents are ready to work the moment you need them.
Build an entire agent team with a single command. Describe what you want to achieve, and Lighthouse Swarm automatically assembles the right combination of agents — researchers, writers, coders, analysts — and assigns them tasks. You don't need to configure each agent individually or manage their interactions.
Get notified the moment an agent completes a task, encounters an error, or needs your input. Notifications arrive via Telegram, email, or Slack, so you always know what's happening without constantly checking the dashboard. You can set custom notification rules based on task priority, agent type, or project.
Lighthouse Swarm includes a high-performance search engine that indexes your documents, code, and data sources. Search across millions of documents in milliseconds, not seconds. The search is context-aware, so it understands the difference between a customer name, a product code, and a technical term.
The swarm is built around a Kanban board where tasks flow through stages — backlog, in progress, review, and done. Agents pick up tasks from the board, work on them, and move them to the next stage. You can see the entire workflow at a glance and intervene whenever needed.
Each agent in the swarm has a specific role and set of capabilities. A research agent gathers information, a writing agent creates content, a coding agent writes and tests code, and an analyst agent reviews outputs for quality. You can create custom agents with your own prompts, tools, and permissions.
When a task requires multiple steps, the swarm automatically breaks it down and assigns subtasks to the appropriate agents. Dependencies are managed automatically — a writing agent won't start until the research agent has finished gathering information. The system handles retries, timeouts, and error recovery.
Lighthouse Swarm can run tasks overnight while you sleep. Schedule long-running jobs — content generation, data analysis, code reviews — and wake up to completed work. The night shift mode optimises for throughput over speed, running multiple agents in parallel to maximise output.
Single AI agents are limited by their context window and processing power. A swarm of specialised agents can handle complex, multi-step tasks that would overwhelm a single agent. Each agent focuses on what it does best, and the coordination system ensures they work together seamlessly.
Need to process 100 documents? A single agent would take hours. A swarm of 10 agents can do it in minutes. The system scales automatically based on task complexity and your available resources. You can run small swarms for simple tasks or large fleets for complex projects.
If one agent fails, another takes over. The swarm monitors agent health and automatically reassigns tasks when an agent becomes unresponsive. This means your workflows are more reliable and you don't lose progress when something goes wrong.
By using the right agent for the right task, Lighthouse Swarm reduces token usage and API costs. Simple tasks are handled by lightweight agents, while complex tasks get the full power of advanced models. You only pay for what you use, and the system optimises for cost-effectiveness.
Setup includes installing Hermes v0.15, configuring your Kanban swarm, and activating push notifications. We'll walk you through building your first agent team and running your first workflow. Most users have a working swarm within 30 minutes and see immediate productivity gains.
Every Lighthouse Swarm setup includes a fully configured agent team, 5 automated workflows tailored to your business, scheduled tasks for recurring work, and a dashboard for monitoring performance. You also get 30 days of priority support to help you get the most out of the system.
Lighthouse Swarm is a multi-agent AI system that builds and manages a team of AI agents for your business. Instead of running one agent at a time, you get a swarm of agents that work together — each handling a different task, sharing information, and coordinating their efforts. It's like having a team of specialists, each an expert in their area, all working toward the same goal.
Traditional AI agents take time to spin up, load context, and start working. Lighthouse Swarm starts in under a second. The agents are pre-configured with your business context, so they start working immediately — no warm-up, no loading, no waiting.
You don't need to manage each agent individually. Give one command and the swarm coordinates itself. The agents divide the work, share results, and combine their outputs. "Research my competitors and write a report" — one agent researches, another writes, another formats. You get the finished result without managing the process.
When an agent completes a task, finds something important, or needs your input, you get a push notification on your phone. You don't need to watch the dashboard — the swarm comes to you. This means you can get on with your work while the agents handle theirs.
The swarm's search capability is optimised for speed. What takes a single agent minutes takes the swarm seconds. This is because the search is parallelised — multiple agents search different sources simultaneously, then combine the results. For research tasks, competitive intelligence, and market analysis, this speed advantage is transformative.
Lighthouse Swarm is for businesses that need more than a single AI agent. If you're running multiple marketing campaigns, managing several clients, or handling complex workflows that require research, writing, analysis, and execution — the swarm handles it all. It's especially powerful for agencies, consultants, and anyone who needs to produce high-quality output at scale.
Once you have a basic swarm running, there are advanced strategies that can help you get even more out of your multi-agent system. These techniques are used by power users who have been running swarms for months and have optimised their workflows for maximum efficiency.
The most effective swarms use highly specialised agents rather than general-purpose ones. A research agent that only gathers information, a writing agent that only creates content, and an editing agent that only reviews and refines — each one is better at its specific task than a general-purpose agent could be. Specialisation also makes it easier to debug issues and improve performance.
Create reusable workflow templates for common tasks. A content creation template might include research, writing, editing, and publishing steps. A customer service template might include ticket classification, response generation, and escalation steps. Templates ensure consistency and make it easy to onboard new agents into your swarm.
Track the performance of each agent and workflow. Which agents complete tasks fastest? Which produce the highest quality output? Which workflows have the highest success rates? Use this data to optimise your swarm — reassign tasks to the fastest agents, improve the prompts for underperforming agents, and refine workflows that have low success rates.
As your business grows, your swarm can grow with it. Start with a small swarm for a single project, then expand to multiple swarms for different projects. The Lighthouse Swarm system makes it easy to add new agents, create new workflows, and manage multiple projects from a single dashboard. There is no limit to how large your swarm can grow.