Kane AI
automationAI test automation platform from LambdaTest
agents 41
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.
Writer
automationAI writing assistant for marketing and blogs
Clay
automationData platform with 150+ sources and AI research agents
Taskade
automationBuild AI automations from prompts
FastBots.ai
automationBuild and deploy chatbots across messaging apps
HR Super Agent by Lyzr
autonomousEnterprise AI agent for HR workflows
Super Amplify
automationRole-specific dashboards and AI tools for better work
Aissist.io
automationAutomate sales and support workflows
Risotto
automationAI troubleshooting for IT support issues
Revolutionize Your Work with Owl at Work’s AI
automationAutomate repetitive work with natural language
Aide
automationEnterprise AI customer support for online stores and service companies
Magpai
automationUnify tools, surface insights, and automate workflows
Spine
automationParallel AI agents across 300+ models for research and automation
AskSatoshi
autonomousAI research agent connected to crypto data sources
DentroChat
automationBuild custom chatbots trained on your own documents
Waveloom
automationConnect apps to automate workflows and data flow
Swatle
automationAI content creation with grammar and plagiarism checks
zenbots.ai
automationZendesk support automation
TeamCreate AI
automationCreates AI workers for sales, finance, and product roles
Emplibot
automationAutomated blog writing and publishing
PDF.co
automationPDF manipulation via API
GodmodeHQ ✊
automationSales intelligence for deal tracking
Hebbia
automationAI search platform for finance teams
AI-Native Enterprise Delivery
automationAutomate systems integration and enterprise delivery
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.