An AI agent is a system that uses a language model as its reasoning core, combined with tools and memory, to autonomously complete complex multi-step tasks — browsing the web, writing code, or managing workflows.

How are AI agents different from chatbots?

Chatbots respond to single queries in isolation. Agents plan and execute multi-step tasks, remember context, use external tools, and can operate autonomously for extended periods to achieve a goal.

Agent safety is an active research area. Current concerns include hallucinated actions, unintended side effects, and prompt injection attacks. Best practices include sandboxed execution, human-in-the-loop confirmation for high-stakes actions, and limited tool permissions.

Applications

AI Agents

AI agents are autonomous software systems that perceive their environment, reason about goals, plan sequences of actions, and use tools to complete tasks with minimal human intervention. They represent the evolution of AI from a question-answering assistant to an active participant in workflows.

How AI Agents Works

AI agents typically combine a large language model (the reasoning core) with a set of tools (web search, code execution, file access, API calls), a memory system (short-term context + long-term storage), and a planning loop. Given a high-level goal, the agent iteratively reasons about the next step, invokes the appropriate tool, observes the result, and continues until the task is complete. Frameworks like LangChain, AutoGen, and CrewAI provide scaffolding for building agents.

Key Use Cases

Software development automation (Devin, SWE-agent)
Web research and data collection
Email and calendar management
Customer service and support automation
Scientific research assistance
Financial analysis and reporting
Code review and testing

Frequently Asked Questions

What is an AI agent?: An AI agent is a system that uses a language model as its reasoning core, combined with tools and memory, to autonomously complete complex multi-step tasks — browsing the web, writing code, or managing workflows.
How are AI agents different from chatbots?: Chatbots respond to single queries in isolation. Agents plan and execute multi-step tasks, remember context, use external tools, and can operate autonomously for extended periods to achieve a goal.
Are AI agents safe?: Agent safety is an active research area. Current concerns include hallucinated actions, unintended side effects, and prompt injection attacks. Best practices include sandboxed execution, human-in-the-loop confirmation for high-stakes actions, and limited tool permissions.