PulpSense
automationNo-code business process automation
agents 485
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.
Airtop
automationBuild AI agents to find leads and enrich data, no code required
ServisBOT
automationAI agents for regulated industries
CakhiaTV
automationLive sports streaming
Kompas
autonomousConnect and organize your ideas
GodmodeHQ ✊
automationSales intelligence for deal tracking
Screenpipe
automationLocal screen and audio recording with search
Intaali
automationAI research assistant that finds, summarizes, and analyzes information from documents and the web
Quickeee
automationFashion delivery to Mumbai in 60 minutes
Contact Swing
automationBaseball and softball swing analysis
TwinTone AI
automationPhotorealistic AI hosts for 24/7 livestreaming
Sublayer
automationCommunity and resources for AI agent operators
ComfyOnline
automationRun ComfyUI workflows on cloud GPUs without local setup
Jelled.ai
automationPrioritize and summarize emails faster
AI API for Developers
automationPre-built APIs for e-commerce, HR, content, and more
Scoopika
autonomousOpen-source platform for building multimodal AI applications
The easiest way to conduct in-depth interviews
automationAnalyze user interviews with AI automation
Hebbia
automationAI search platform for finance teams
Automate Calls & Chat with Insighto AI Agents
automationAI assistant for analyzing and summarizing documents
Knowlee
automationDeploy autonomous AI agent teams for enterprise outcomes
ChatGPT WhatsApp
automationUse ChatGPT through WhatsApp with automation
Alchemi
automationDominate organic search and AI-generated search results
AI-Native Enterprise Delivery
automationAutomate systems integration and enterprise delivery
Agno
automationFramework and operating system for multi-agent systems
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.