What is Ivern Squads?

Ivern Squads is a platform that lets you connect your existing AI agents — from Claude Code, Cursor, OpenAI, OpenCode, or custom agents — into coordinated teams called squads. You assign tasks and the agents work together to get results, all through a simple web interface.

Do I need to know how to code?

Not at all. Ivern Squads is built for non-technical users. You manage your AI team through a simple web interface, organize agents into squads, and assign tasks using plain language. No terminal, no YAML config files, no code.

Which AI agents can I connect?

Ivern Squads supports Claude Code, Cursor, OpenCode, OpenAI Agents, and any custom agent through our REST API. If your agent can make HTTP requests, it can connect to Ivern Squads.

How do agents connect to the platform?

Each agent connects using a platform API key. You generate a key in your dashboard, then configure your agent (like Claude Code or OpenCode) to authenticate with Ivern Squads. The agent pulls tasks, sends progress updates, and submits results through our Agent Protocol API.

Yes! The free tier includes up to 3 agent connections and 3 squads with unlimited tasks. You bring your own API key for AI model access (BYOK), so you pay direct provider pricing with no markup.

BYOK stands for Bring Your Own Key. Instead of charging you for AI usage, you connect your own Anthropic or OpenAI API key. This means you pay direct provider pricing with no markup, and you have full control over your AI spending.

What agent roles are available?

We offer 10+ pre-built agent roles including Researcher, Writer, Coder, Reviewer, Data Analyst, Marketing Strategist, Customer Support, Project Manager, SEO Specialist, and Translator. Each role comes with optimized prompts and settings for your connected agents.

Can I customize the agents?

Absolutely. You can modify any agent role's name, system prompt, and settings. Start from a template and customize to fit your exact workflow, or create custom roles from scratch.

Yes. Your API keys are encrypted with AES-256-GCM and never stored in plaintext. Your task data and conversations are private to your account. We never share your information with third parties.

How is this different from ChatGPT or Claude?

ChatGPT and Claude are single conversations with one AI. Ivern Squads lets you connect multiple AI agents — each with a different role — into a coordinated team. A Researcher agent gathers information, a Writer drafts content, and a Reviewer polishes it — all working together in your squad.

The Unseen Challenge of Multi-Agent Communication

Multi-agent AI systems are all the rage. The idea of having a team of AI agents working together to solve complex problems is incredibly appealing. But as with any team, communication is key. And when it comes to AI agents, communication is a surprisingly difficult problem to solve.

The Challenges of Multi-Agent Communication

There are several challenges that make multi-agent communication so difficult:

Shared Understanding: For agents to communicate effectively, they need to have a shared understanding of the world. This includes not only the facts of the world, but also the goals of the team and the roles of each agent.
Context: Humans are great at understanding context. We can infer the meaning of a message based on the situation, the speaker, and our past experiences. AI agents, on the other hand, struggle with context. They often need to be explicitly told everything they need to know.
Noise: Just like in human communication, noise can be a major problem in multi-agent communication. This can include everything from ambiguous messages to conflicting information.
Scalability: As the number of agents in a system grows, the number of potential communication channels grows exponentially. This can make it incredibly difficult to manage and coordinate communication.

Solving the Communication Challenge

At Ivern AI, we've spent a lot of time thinking about these challenges. And we've developed a few key principles for solving them:

Structured Communication: We believe that communication should be structured and predictable. That's why we've developed a communication protocol that all of our agents use. This protocol defines the types of messages that can be sent, the format of those messages, and the rules for how agents should respond to them.
Centralized Communication Hub: We also believe that communication should be centralized. That's why we've built a communication hub that all of our agents connect to. This hub is responsible for routing messages between agents, resolving conflicts, and ensuring that all agents have the information they need to do their jobs.
Explicit Roles and Goals: Finally, we believe that all agents should have explicit roles and goals. This helps to ensure that all agents are working towards the same objective and that there is no confusion about who is responsible for what.

The Future of Multi-Agent Communication

Multi-agent communication is a complex and challenging problem. But we believe that it's a problem that's worth solving. By building systems that can communicate effectively, we can unlock the full potential of multi-agent AI.

Ready to see the future of multi-agent communication in action? Sign up for a free Ivern AI account today.

The Unseen Challenge of Multi-Agent Communication