Everything you need to build autonomous AI agents. Frameworks, patterns, tutorials, and best practices for creating intelligent systems with OpenAI, Claude, and open-source models.
from openai import OpenAI client = OpenAI() # Define tools the agent can use tools = [ { "type": "function", "function": { "name": "search_web", "description": "Search the web for information" } }] # Create an agent that can reason and use tools response = client.chat.completions.create( model="gpt-4", messages=[{"role": "user", "content": "Research AI agents"}], tools=tools )
The best tools for building AI agents in 2025
Official OpenAI framework for building agents with tool use, code execution, and multi-step reasoning.
Learn more →Build context-aware reasoning applications with chains, agents, and retrieval strategies.
Learn more →Anthropic's CLI tool for agentic coding - autonomous code generation and execution.
Learn more →Microsoft's SDK for integrating LLMs into apps with plugins and planners.
Learn more →Understanding the building blocks of autonomous AI systems
Agents can call external APIs, run code, search the web, and interact with databases.
Breaking down complex problems into reasoning steps before taking action.
Reasoning + Acting loop where agents think, act, observe, and repeat.
Short-term conversation memory and long-term knowledge retrieval.
Multiple specialized agents collaborating to solve complex tasks.
Safety constraints and validation to keep agents aligned with intended behavior.