AI Agents

Autonomous AI agents that can browse the web, run code, and complete multi-step tasks independently.

34 tools available

About This Category

AI agents are autonomous systems that can browse the web, execute code, and work through complex tasks without constant human intervention. Teams use these tools to automate workflows, research, data processing, and repetitive business operations. They solve the problem of scaling work that would otherwise require significant manual effort or custom development.

Who Uses These Tools

Research and data gathering

Analysts and researchers use agents to autonomously browse, collect, and summarize information from multiple sources, then compile reports without manual compilation.

Workflow automation

Operations and business teams deploy agents to handle repetitive processes like ticket routing, data entry, form filling, and status updates across multiple systems.

Code execution and testing

Developers use agents to autonomously write, test, debug, and deploy code changes, reducing time spent on routine programming tasks.

Frequently Asked Questions

How to Choose

Evaluate pricing model fit
Consider whether you need pay-per-use, subscription, or on-premise options. Compare total cost of ownership, including API calls and computational resources the agent will consume.
Assess ease of setup
Look for tools with clear documentation, pre-built templates, and straightforward configuration. Some agents require coding knowledge while others use visual builders—choose based on your team's technical skills.
Check integration capabilities
Verify the agent can connect to your existing tools, databases, and APIs through webhooks, plugins, or native connectors. Limited integrations may restrict what tasks the agent can actually complete.
Test task complexity handling
Run a pilot with a multi-step workflow matching your real use case. Verify the agent can handle decision-making, error recovery, and context retention across sequential tasks.