AI & Agents

Autonomous AI Agents

From AutoGPT to multi-agent systems — explore how AI agents perceive goals, use tools, and take autonomous action to complete complex tasks.

How Agents Work

The Architecture of Autonomy

What Are AI Agents?

AI agents are LLMs augmented with the ability to take actions — they perceive a goal, break it into steps, call tools (search, code execution, APIs), observe results, and iterate until the task is complete. Unlike chatbots, agents act.

Tool Use & Function Calling

Modern LLMs can call external functions — web search, code interpreters, database queries, and custom APIs. The model decides when and how to invoke tools based on the task, enabling agents to interact with the real world.

Multi-Agent Collaboration

Frameworks like CrewAI and AutoGen allow multiple specialized agents to collaborate — a planner agent delegates to a researcher, who feeds a writer, who sends output to a critic. This mirrors how human teams operate.

Memory & Planning

Agents maintain short-term memory (conversation context), long-term memory (vector stores), and episodic memory (past task logs). Combined with chain-of-thought planning, agents can handle tasks spanning days and dozens of steps.

Tasks completed autonomously

100+

Tool integrations available

10×

Faster than manual workflows

24/7

Agents run while you sleep

Agent Platforms

Top AI Agent Frameworks

From open-source frameworks to enterprise platforms — the tools powering the agentic AI revolution.

AutoGPT

Free

The original autonomous AI agent. Give it a goal and it plans, searches, and executes multi-step tasks without human input.

PythonLocalAPI
Open

LangChain

Free

The most popular framework for building LLM-powered apps with tools, memory, chains, and retrieval-augmented generation.

PythonJSAPI
Open

CrewAI

Freemium

Role-based multi-agent framework. Orchestrate specialized AI agents that collaborate like a human crew on complex workflows.

PythonCloud
Open

Microsoft AutoGen

Free

Microsoft Research's conversational multi-agent framework. Agents can code, debug, and iterate with each other autonomously.

PythonLocalAPI
Open

LlamaIndex

Freemium

Data framework for building LLM applications with structured retrieval, agent tools, and knowledge graph integration.

PythonJSAPI
Open

AgentGPT

Freemium

Browser-based autonomous AI agent. Deploy goal-driven agents in your browser — no setup required.

Web
Open

OpenAI Assistants API

Paid

OpenAI's official agent framework with persistent threads, file search, code interpreter, and function calling built in.

APIWeb
Open

Google Vertex AI Agents

Paid

Enterprise-grade AI agent platform on Google Cloud with Gemini models, tool use, and grounding with Google Search.

CloudEnterprise
Open

AWS Bedrock Agents

Paid

Managed AI agents on AWS that connect LLMs to enterprise APIs, databases, and knowledge bases securely.

CloudEnterpriseAPI
Open

Dust.tt

Freemium

AI agent deployment platform for enterprise teams. Build, deploy, and monitor custom AI assistants with your company data.

WebEnterprise
Open

Rivet

Free

Visual AI workflow builder for creating complex agent pipelines with drag-and-drop nodes, branching, and debug tools.

DesktopLocal
Open

Flowise

Free

Open-source low-code drag-and-drop UI for building LangChain and LlamaIndex agent workflows visually.

LocalDockerWeb
Open

Build Your First AI Agent

Start with LangChain or AutoGen and deploy an AI agent that can browse the web, write code, and complete real tasks autonomously.

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