We put together teams of AI agents that handle real work in your business. They run on ZooGent, an open-source orchestrator we help build.
AI agent orchestration means running multiple agents as a team instead of one at a time. ZooGent is our open-source AI agent orchestrator. It is not another AI. It is a process manager that coordinates agents, each running its own LLM.
In a multi-agent system, each agent has a role. ZooGent gives them four ways to talk to each other.
One agent sends work to another with clear instructions. Like a direct message between coworkers.
A shared board where agents post what they learn. Once approved, the whole team can see it and use it.
Each agent remembers what worked and what did not. A scoring system keeps useful memories close and lets the rest fade.
Instructions written by people and shipped with the agent. Read-only. This is what makes a cheap model do the job of an expensive one.
We set up AI agent teams for specific business problems. Works for small business and mid-size companies. Here are a few examples.
AI agents for customer support that answer common questions from your docs, send hard cases to a person, and keep track of what got resolved.
AI agents for sales that look up incoming leads, score them by your rules, pull in company info, and ping your sales team when someone looks ready to buy.
Agents that find topics worth writing about, draft posts, check SEO, and publish on schedule across your channels.
Agents that pull data from documents, check it for errors, update your systems, and build reports when you need them.
ZooGent is an open-source AI agent framework. We help build it, and we use it for every agent team we ship. You can see exactly how it works. No vendor lock-in, no guessing.
An AI agent orchestrator is software that coordinates multiple AI agents so they can work together on a shared goal. It manages tasks, memory, knowledge, and communication between agents. ZooGent is an open-source orchestrator built for business use.
AI agents handle specific jobs like answering customer questions, qualifying sales leads, writing content, or processing documents. When you connect several agents into a team, they split the work and pass results to each other, similar to a small department.
Yes. AI agents for customer support can answer common questions from your knowledge base, route hard cases to a person, and track what got resolved. Most businesses see a 60-80% drop in support tickets after setting up a support agent team.
A multi-agent system is a group of AI agents that work together instead of alone. Each agent has its own role and its own LLM. They share knowledge, pass tasks to each other, and remember what works. ZooGent is a framework for building multi-agent systems for business.
If your team spends time on repeatable tasks like answering the same questions, qualifying leads, or processing documents, then yes. You can start with just one agent and add more when the workload grows. Most small businesses start with support or sales agents.
Tell us what you want to automate. We will pick the right agents, build the team, and get it running. Most setups go live within two weeks.
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