Agentic Copilots
Agentic copilots provide you with advanced control and orchestration over your agents.
What are Agents?
AI agents are intelligent systems that interact with their environment to achieve specific goals. Think of them as 'virtual colleagues' that can handle tasks ranging from simple queries like "find the cheapest flight to Paris" to complex challenges like "design a new product layout."
As these AI-driven experiences (or 'Agentic Experiences') become more sophisticated, developers need finer control over how agents make decisions. This is where specialized frameworks like AG2 become essential.
What is AG2?
AG2 is a framework that gives you precise control over AI agents. AG2 agents allow developers to combine and coordinate coding tasks efficiently, providing a robust framework for building sophisticated AI automations.
What are Agentic Copilots?
Agentic copilots are how CopilotKit brings AG2 agents into your application. If you're familiar with CopilotKit, you know that copilots are AI assistants that understand your app's context and can take actions within it. While CopilotKit's standard copilots use a simplified ReAct pattern for quick implementation, Agentic copilots give you AG2's full orchestration capabilities when you need more control over your agent's behavior.
What are CoAgents?
CoAgents are what we call CopilotKit's approach to building agentic experiences! They're interchangeable with agentic copilots being a more descriptive term for the overall concept.
When should I use CopilotKit's CoAgents?
You should use CoAgents when you require tight control over the Agentic runloop, as facilitated by an Agentic Orchestration framework like AG2. With CoAgents, you can carry all of your existing CopilotKit-enabled Copilot capabilities into a customized agentic runloop.
We suggest beginning with a basic Copilot and gradually transitioning specific components to CoAgents.
The need for CoAgents spans a broad spectrum across different applications. At one end, their advanced capabilities might not be required at all, or only for a minimal 10% of the application's functionality. Progressing further, there are scenarios where they become increasingly vital, managing 60-70% of operations. Ultimately, in some cases, CoAgents are indispensable, orchestrating up to 100% of the Copilot's tasks (see agent-lock mode for the 100% case).
Examples
An excellent example of the type of experiences you can accomplish with CoAgents applications can be found in our Research Canvas.
More specifically, it demonstrates how CoAgents allow for AI driven experiences with:
- Precise state management across agent interactions
- Sophisticated multi-step reasoning capabilities
- Seamless orchestration of multiple AI tools
- Interactive human-AI collaboration features
- Real-time state updates and progress streaming
Next Steps
Want to get started? You have some options!
