AI
AIPulse

Stay in the loop

Get the latest AI news and tutorials delivered weekly. Upgrade to Pro for deep-dive reports & benchmarks.

TutorialsApril 1, 2026·10 min read

Understanding AI Agents: Architecture and Patterns

Share:

What Are AI Agents?

AI agents represent the next evolution beyond simple chatbots. They can plan, use tools, and execute multi-step tasks autonomously.

Core Architecture

A typical AI agent consists of:

  • LLM Core — The reasoning engine
  • Tool Use — APIs and functions the agent can call
  • Memory — Short-term (conversation) and long-term (persistent)
  • Planning — Task decomposition and execution strategies
  • Common Patterns

    #### ReAct Pattern The most popular pattern: Reason → Act → Observe → Repeat

    Thought: I need to find the user's order status
    Action: query_database(order_id=12345)
    Observation: Order shipped on March 28
    Thought: I can now respond with the status

    #### Multi-Agent Systems Multiple specialized agents collaborating on complex tasks. One agent plans, another researches, another executes.

    Building Your First Agent

    Start simple. Use a framework like LangGraph or Claude's tool use API to build a basic agent, then add complexity as needed.

    The Future of Agents

    Expect agents to become the primary interface for software interaction within the next 2-3 years.

    Share:

    Unlock Pro insights

    Get weekly deep-dive reports, exclusive tool benchmarks, and workflow templates with AIPulse Pro.

    Go Pro →

    Related Articles

    More tutorials coverage, plus recent reads from across AIPulse.

    More in Tutorials