​
Available Agents

AutoGPT

An autonomous agent for self-guided task completion using a chain of thoughts approach

BabyAGI

A task-driven agent that creates, prioritizes, and executes tasks based on objectives

CSV Agent

Specialized for answering queries about data stored in CSV files

XML Agent

Designed for language models that excel at reasoning and writing in XML format

Tool Agent

Uses Function Calling to dynamically select and execute appropriate tools

Airtable Agent

Answers queries about data stored in Airtable tables

Anthropic Agent

Leverages Anthropic’s Claude model with function calling capabilities

OpenAI Assistant

Uses OpenAI’s Assistant API for context-aware conversations and tool execution

OpenAI Tool Agent

Utilizes OpenAI’s function calling for tool selection and execution within LlamaIndex

Conversational Agent

Designed for dynamic, multi-turn conversations with memory and tool usage

ReAct Agent for LLMs

Implements the Reasoning and Acting framework for complex problem-solving

ReAct Agent for Chat Models

Optimized version of ReAct for conversational AI applications

Conversational Retrieval Tool Agent

Combines conversation, information retrieval, and tool usage

​
Use Cases

Agents are beneficial for a wide range of applications, including:
  • Complex task automation and problem-solving
  • Interactive chatbots and virtual assistants
  • Research and information gathering
  • Data analysis and query resolution
  • Task planning and execution
  • Educational tutoring systems
  • Customer support automation
  • Content generation and summarization
Each agent type is optimized for specific scenarios, allowing developers to choose the most appropriate agent for their particular use case. Whether you need autonomous task completion, structured XML output, or dynamic conversation with information retrieval, there’s an agent designed to meet those requirements.