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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.

TeamPal

automation

Workflow automation and team communication

6

Conversed.ai

autonomous

Build custom AI chatbots and agents without writing code

6

Workativ

automation

AI agents for employee FAQs and HR tickets

6

Kong.ai

automation

Knowledge base tool that lets you chat with documents

6

Quell

automation

Customer feedback analysis using advanced AI

6

Olivya

automation

Content creation suite for text, images, and code

6

Cakewalk

automation

Get your content cited by ChatGPT, Perplexity, and Gemini

6

Automina

automation

Record and replay web actions to automate repetitive tasks

6

NeuralPit

automation

AI content creation suite

6

n8nChat

automation

Automate messaging and chatbot workflows across platforms

6

OpenSesame

autonomous

Build and deploy AI agents on one platform

6

Botgo

automation

Build and deploy AI agents without code

6

Verex

automation

Write automated tests with natural language

6

OpenAdapt.AI

automation

Automate desktop workflows using large language models, no coding required

6

Intellyverse

automation

Build and share custom AI assistants for specific workflows

6

Leadchee

automation

Automate lead scoring, email campaigns, and contact management

6

EasyAudit

automation

Audit automation platform

6

BigTeam

automation

AI team composition and project staffing

6

Trace

automation

Route tasks to the right human or AI agent

6

Flowiz.ai

automation

Text-to-diagram AI tool

6

Augment AI

automation

B2B sales intelligence platform

6

Data Parrot

automation

Turn CRM data into actionable sales insights

6

Jestor

automation

Low-code automation and internal tools

6

Deepopinion

automation

Enterprise AI agent apps for process automation

6

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.