Manus
autonomousCloud AI agent that runs multi-step tasks in a sandboxed environment.
agents 39
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.
Skyvern
automationBrowser automation for web scraping and testing
My AskAI
automationAI chatbot that deflects 75% of support tickets from your helpdesk
Charlie Lounge
automationHub for AI modules, chat bots, and marketplaces
Revolutionize Your Work with Owl at Work’s AI
automationAutomate repetitive work with natural language
Epsilla
autonomousNo-code platform for building AI agents
Qodex
automationNo-code API testing, documentation, and monitoring
Swatle
automationAI content creation with grammar and plagiarism checks
SuperSend
automationCold email infrastructure and deliverability
Copilotly
automation131 AI copilots across legal, health, finance, and other fields
Ontezo
automationProject management with task tracking and reporting
Contact Swing
automationBaseball and softball swing analysis
ComfyOnline
automationRun ComfyUI workflows on cloud GPUs without local setup
Toma.so
automationAI agents for automotive operations
SmartBids.ai
autonomousReal estate pricing and analytics software
Abstra
automationAutomate financial operations with intelligent workflows
Serviceaide
automationAutomate enterprise operations
Chatcare
automationHIPAA-compliant healthcare chatbot
MindsHub
automationHost and manage open-source AI agents
H Company
automationAI agents and automation models
Backflip AI
automationAI tools for CAD and 3D modeling
OpenDialog
automationAI agents for regulated industries
Dynamiq
automationBuild and monitor AI agents for specific business tasks
AhaCreator
automationAutomate influencer partnerships at scale
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.