AutoGen is a multi-agent conversation framework.
AutoGen enables you to:
- Build applications based on multi-agent conversations.
- Compose and orchestrate complex workflows using a diverse set of conversation patterns.
An agent refers to a system designed to achieve specific objectives for a user.
Agents can have varying degrees of autonomy when accomplishing goals.
To effectively carry out its functions, an agent may use a range of tools, including AI models, knowledge bases, and software, which assist in data processing, executing actions, and successfully accomplishing the intended tasks.
Multi-agent systems consist of multiple specialized agents that work together to achieve a common objective. These systems are well-suited for complex tasks that require collaboration and coordination.
Consider the task of planning a winter vacation to a warm destination. This involves several steps:
- Researching online for potential travel spots.
- Checking personal and, if applicable, others' availability by consulting calendars.
- Reviewing bank accounts to determine a travel budget based on the planned dates.
- Utilizing travel tools to find the best deals on flights and hotels, while considering reward programs and more affordable travel periods.
- Conducting further online research for activities at each potential location.
- Synthesizing all gathered information—availability, expenses, and activities—to make an informed decision.
- Proceeding with the actual bookings of flights, hotels, and reservations.
This process requires extensive information gathering, planning, and execution.
Creating an application to handle this as a single agent could be challenging due to the varied contexts and domains involved.
On the other hand, designing it as a multi-agent system simplifies the problem. Each agent can focus on a specific aspect of the task - managing calendars, booking travel, conducting web searches, handling finances - allowing the collective effort to be more efficient and effective in achieving the goal.