Manus
autonomousCloud AI agent that runs multi-step tasks in a sandboxed environment.
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.
Cloud AI agent that runs multi-step tasks in a sandboxed environment.
Data extraction automation for document processing
Browser automation for web scraping and testing
Platform for building and deploying AI agents to automate workflows
AI chatbot that deflects 75% of support tickets from your helpdesk
AI customer engagement platform for ecommerce and D2C
LinkedIn automation and email outreach for sales teams
Hub for AI modules, chat bots, and marketplaces
AI-powered project and task management for teams
AI troubleshooting for IT support issues
Build custom AI agents without code
Automate repetitive work with natural language
AI voice agents for inbound and outbound calls
AI-powered SEO analysis and ranking improvement
No-code platform for building AI agents
Build and deploy AI agents with built-in governance
Test automation using plain English commands
No-code API testing, documentation, and monitoring
Connect apps to automate workflows and data flow
AI content creation with grammar and plagiarism checks
Smart email management
Cold email infrastructure and deliverability
131 AI copilots across legal, health, finance, and other fields
Project management with task tracking and reporting
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.