AI Agents

What are AI Agents?

AI agents are autonomous systems that can perceive their environment, make decisions, and take actions to achieve specific goals. They combine LLMs with tools, memory, and planning capabilities.

Core Concepts

• Perception: Understanding input and context
• Reasoning: Planning and decision-making
• Action: Executing tasks via tools and APIs
• Memory: Short-term and long-term information storage
• Feedback Loops: Learning from outcomes

Agent Frameworks

• LangChain - Framework for LLM-powered agents
• CrewAI - Multi-agent orchestration
• AutoGPT - Autonomous GPT-4 agent
• LlamaIndex - Data framework for LLM agents
• AutoGen - Multi-agent conversations by Microsoft

Agent Capabilities

• Tool Use: APIs, databases, web search, code execution
• Planning: Breaking down complex tasks into steps
• Reflection: Self-evaluation and correction
• Multi-agent Collaboration: Agents working together
• RAG Integration: Accessing external knowledge

Use Cases

• Research Assistants: Gathering and synthesizing information
• Code Generation: Building applications autonomously
• Data Analysis: Processing and visualizing data
• Customer Support: Handling complex inquiries
• Task Automation: Workflow orchestration

Learning Resources

• AI Agents in LangGraph - DeepLearning.AI course
• LLM Powered Autonomous Agents - Lilian Weng's blog
• Awesome AI Agents - Curated list of agent resources