AI Agents FAQs

Question 1

Is it easy to extend the functionality of AI Agents?

Accepted Answer

Yes, the extensible plugin system makes it easy to add new AI agents or support new input channels. This allows you to customize and expand the capabilities of the system to meet your specific needs.

Question 2

What technologies are used in the AI Agents project?

Accepted Answer

The project uses Node.js/Python for the backend, OpenAI API/LangChain/Custom Models for AI/ML functionality (Specify actual usage), WebSockets and REST API for communication, and MongoDB/Redis for the database (Specify).

Question 3

What are AI Agents and what do they do?

Accepted Answer

AI Agents are configurable, AI-powered entities that interact with a Multi-Channel Processing (MCP) server. They perform intelligent tasks, data processing, and automation across various input channels in real-time.

Question 4

What kind of APIs does AI Agents support?

Accepted Answer

AI Agents supports both RESTful and WebSocket APIs, allowing for flexible integration with different systems and applications. This facilitates real-time communication and data exchange.

Question 5

What are the key features of the MCP server?

Accepted Answer

The MCP server handles multi-channel data streams, provides real-time processing and decision-making capabilities, and offers an extensible plugin system for adding new agents or channels.

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