AI That
Acts.Plans.
Executes.
Agentic AI goes beyond chat — these systems autonomously use tools, browse the web, write code, and complete multi-step goals without human hand-holding at every turn.
The Agent Loop
Unlike chatbots, agentic AI operates in a continuous loop — perceiving context, planning steps, using tools, observing results, and iterating until the goal is complete.
Top Agentic AI Tools
These platforms enable AI agents to take real actions in the world — browsing, coding, managing files, and completing complex workflows.
Perplexity Deep Research
AI research agent that autonomously searches dozens of sources, synthesizes findings, follows citations, and produces comprehensive, cited research reports in minutes.
- Autonomous multi-source web search
- Citation tracking and verification
- Comprehensive report generation
Claude Computer Use
Anthropic's breakthrough capability allowing Claude to control a computer — clicking, typing, reading screens, and completing any task a human could do with a browser and keyboard.
- Full browser and desktop control
- Form filling, navigation, interaction
- Multi-app workflow execution
AutoGPT / AgentGPT
Open-source autonomous agent frameworks that give GPT-4 a set of tools and a goal, then let it recursively create sub-tasks and execute until the objective is complete with minimal oversight.
- Recursive goal decomposition
- Long-term memory with vector DB
- Plugin ecosystem for tools
n8n + AI Agents
Open-source workflow automation with native AI agent nodes. Chain tools, APIs, databases, and LLM calls into complex automated pipelines with visual drag-and-drop orchestration.
- 400+ app integrations
- LLM-powered decision nodes
- Self-hosted with full data control
Operator (OpenAI)
OpenAI's web agent that can book restaurants, fill forms, research products, and complete online tasks autonomously. Uses the Computer-Using Agent (CUA) model trained on browser interactions.
- E-commerce and booking tasks
- Form completion and submission
- Multi-site research workflows
LangGraph / CrewAI
Frameworks for building multi-agent systems where specialized AI agents collaborate — a researcher, writer, critic, and fact-checker working as a team on complex, parallelizable tasks.
- Role-based agent specialization
- Inter-agent communication
- Human-in-the-loop checkpoints
Agent Workflow Simulator
Watch an AI agent reason through, plan, and execute a multi-step task in real time. Enter a goal below and deploy the agent.