As AI agents move from simple assistants to systems that can actually handle tasks, I’ve been looking at tools that make it easier to work with multiple agents as part of a team.
Here are 5 interesting options:
1. Sharkly.ai
Sharkly.ai takes a more collaboration-focused approach. Instead of treating each AI agent as a separate chatbot or coding session, it aims to put humans and multiple AI agents into the same workspace.
You can think of agents as additional contributors that can take on tasks while humans coordinate the work, review results, and decide what happens next.
That human + agent collaboration layer is what makes Sharkly.ai particularly interesting to me.
2. CrewAI
CrewAI focuses on orchestrating teams of specialized AI agents. You can define different roles and let agents collaborate on a larger task.
It’s particularly interesting for developers building structured multi-agent workflows where each agent has a specific responsibility.
3. Microsoft Copilot Studio
Copilot Studio takes the approach from a business workflow perspective. Teams can create AI agents and connect them to organizational data, tools, and processes.
It makes sense for companies looking to introduce agents into existing business workflows rather than building everything from scratch.
4. LangGraph
LangGraph is more developer-oriented. It provides a framework for building stateful, controllable agent workflows, including systems where multiple agents need to interact or hand work between each other.
The level of control is useful when building more complex agent architectures.
5. OpenAI Agents SDK
The OpenAI Agents SDK provides building blocks for creating applications where agents can perform tasks, use tools, and hand off work to other agents.
It’s a good option for developers who want to build their own agent-based applications rather than use an existing collaborative workspace.
The interesting part
These tools approach multi-agent collaboration from different directions: orchestration, frameworks, enterprise workflows, or collaborative workspaces.
For me, the interesting shift is moving from “AI as my assistant” toward “AI agents as contributors to the team.”
That’s where tools like Sharkly.ai become interesting: not just running agents, but figuring out how humans and agents can actually work together on the same project.
What are you using for multi-agent collaboration today?