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AI agents are software systems that plan and execute multi-step tasks with minimal human input. Unlike single-function AI tools, agents reason over goals, use external tools, and loop until a task is complete. This category lists 485 tools, from business-process automation agents like Workativ to conversational agents built for customer support.

Nanonets

automation

Data extraction automation for document processing

Paid 43 · 17,511 votes

Skyvern

automation

Browser automation for web scraping and testing

Paid 39 · 44,876 votes

Markopolo AI

automation

AI customer engagement platform for ecommerce and D2C

Paid 38 · 62,539 votes

Brilo AI

automation

AI voice agents for inbound and outbound calls

Paid 37 · 45,931 votes

Credal

automation

Build and deploy AI agents with built-in governance

Paid 37 · 43,603 votes

testRigor Software Testing

automation

Test automation using plain English commands

Paid 37 · 55,769 votes

Snoooz

automation

Smart email management

Paid 37 · 34,594 votes

Copilotly

automation

131 AI copilots across legal, health, finance, and other fields

Paid 36 · 31,849 votes

Contact Swing

automation

Baseball and softball swing analysis

Paid 36 · 25,158 votes

Aisento

automation

AI agents for content and digital marketing

Paid 35 · 16,690 votes

Abstra

automation

Automate financial operations with intelligent workflows

Paid 35 · 15,034 votes

H Company

automation

AI agents and automation models

Paid 34 · 49,125 votes

Dynamiq

automation

Build and monitor AI agents for specific business tasks

Paid 31 · 45,779 votes

By the Numbers

automation

AI analytics for Shopify stores

Paid 31 · 34,434 votes

Coval

automation

Test and optimize AI voice and chat agents at scale

Paid 31 · 28,325 votes

Automate Customer Care with TalkForce AI

automation

AI virtual agents for customer service automation

Paid 30 · 26,179 votes

Adaapt.AI

automation

Enterprise platform bridging people and systems

Paid 30 · 20,298 votes

The category is broad enough that two tools can both be called agents while working very differently. Some agents are workflow-based, executing a fixed sequence of actions when triggered. Others are goal-directed, meaning they interpret a high-level objective and plan the steps themselves. The latter are more flexible but also less predictable, which matters if you are building a production system. Key things to evaluate: what tools or APIs the agent can access, how it handles errors and ambiguous states, and how much human oversight is built in. Memory and context length also differ significantly between products. For business users, agents that connect to existing SaaS tools (Slack, HubSpot, Jira) tend to deliver value faster than those requiring custom integrations. Pricing structures vary from per-task tokens to monthly platform fees.