Credal
automationBuild and deploy AI agents with built-in governance
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.
Build and deploy AI agents with built-in governance
AI platform for healthcare and life sciences
Contact center AI with agent assist and QA automation
Build custom chatbots trained on your website and company data
Automate compliance tasks like gap analysis and evidence collection
AI platform for project management, communication, and automation
Test automation using plain English commands
AI research agent connected to crypto data sources
Automate data entry, forms, and web scraping
Marketing workflow and distribution platform
Social media management across multiple platforms
Build custom chatbots trained on your own documents
All-in-one project management with tasks, docs, chat, and automation
MIT-licensed JavaScript chatbot widget for support
Automated data cleaning, transformation, and analysis
White-label AI voice and chat agents with no revenue share
No-code test automation for web applications
All-in-one platform for content and chatbot creation with automation
Deploy AI agents across apps, websites, Slack, Discord, and WhatsApp
Converts Zillow listings into professional real estate videos
No-code API testing, documentation, and monitoring
Build and run custom AI agents for any workflow
Generate leads and run WhatsApp campaigns from one CRM
Connect apps to automate workflows and data flow
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.