Vivgrid
autonomousAI agent platform with debugging, evaluation, and global deployment
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.
Barie AI
automationAI agent that handles research, analysis, and strategy execution
Anybiz
automationAI sales development reps for B2B outreach via email, LinkedIn, and phone
Portday
automationManages port call workflows from arrival scheduling to settlement
Virtuoso QA
automationAI-powered test automation
Cognition by Mindcorp
automationVirtual experts for strategic decision-making
Ciroos
automationAI automation for SRE operations
RecordsKeeper.AI
automationAutomate record management and compliance with AI and blockchain
Solver AI
automationAgentic AI that automates operations and workflows
Hyperlink by Nexa AI
autonomousOn-device AI models with real hardware validation
Robot Roster
automationJob board for AI agents and AI developer positions
RoboWork
autonomousFrontend workspace for Claude, GPT-4, Gemini, and other AI models
FastMCP
automationDirectory of MCP servers for AI tools
Ushur
automationCRM automation with compliance and auditability
AgentGenesis
autonomousOpen-source platform for building and deploying AI agents visually
BaseAI
autonomousBuild and deploy AI agents with memory and RAG
Younet
autonomousBuild personalized AI agents with your own knowledge
Ticketify
automationConvert bug reports into Jira tickets automatically
Zenes AI
automationStreamlines test-driven development and quality assurance
Tracecat
automationOpen source SOAR platform for AI-native security teams
Brevian
automationNo-code workflow automation across apps
Kindo AI
automationAI code assistant integrated with your IDE
VoiceOwl
automationVoice automation for banking and financial services
Quarter
automationAI engineer that understands your codebase and automates development tasks
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.