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.
Platform for building and deploying AI agents to automate workflows
AI chatbot that deflects 75% of support tickets from your helpdesk
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-powered SEO analysis and ranking improvement
No-code platform for building AI agents
No-code API testing, documentation, and monitoring
Connect apps to automate workflows and data flow
AI content creation with grammar and plagiarism checks
Cold email infrastructure and deliverability
Project management with task tracking and reporting
Run ComfyUI workflows on cloud GPUs without local setup
AI search platform for finance teams
AI assistant for analyzing and summarizing documents
Dominate organic search and AI-generated search results
Automate systems integration and enterprise delivery
AI agents for automotive operations
Real estate pricing and analytics software
AI capital copilot for fundraising and investor relations
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.