KoalaKonvo
generalAI assistant via Telegram
chat 954
AI chat tools include chatbots, conversational assistants, and platforms for building and deploying chat-based AI experiences. With 955 tools, this is one of the largest categories in the directory, covering everything from customer service bots to personal AI companions and sales coaching systems.
Rwiz AI
generalAutomate customer review responses
Albert
generalAnalyze board papers instantly with Australian governance AI
Spam Slaya
generalAI email filter that stops spam and phishing
TrueInterviewAI
generalPractice interviews and get AI feedback
AI Omnichannel Customer Support Platform by BlueTweak
generalOmnichannel support platform automating customer responses
Stealth Interview
generalPractice job interviews with AI simulations
Careers AI
generalHiring automation and interview question generation
CoSupport AI
generalAI customer support automation
Zime
generalAI sales coaching and enablement platform
Agent4
generalConversational AI for multi-location customer handling
SlikSafe Email Generator
generalAI email writing in seconds
AmuRing
generalPersonal AI assistant for daily tasks
ServiceSim
generalCustomer service agent training simulation
AIDE AI
generalLocal-first AI workspace for students
Free AI Therapist
generalAI mental health chatbot for self-reflection
Glyphic
generalCRM automation and sales coaching from customer calls
Inpost
generalAI-powered content generation for text and images
The breadth here is significant. On one end are end-user chat applications where you interact with an AI directly, like CogBias AI or Eloquens AI. On the other are platforms like Markprompt that let you build custom chat interfaces on top of your own documentation or knowledge base. Sales-specific tools like Salesably and Triple Session focus on coaching and call analysis rather than open-ended conversation. Customer support tools like Watchdog.chat and AIPEX are deployed externally, handling queries on behalf of a business. When evaluating, the key question is whether you need a ready-made chat product or infrastructure to build your own. For the latter, the quality of the RAG pipeline, latency, and customization options matter most. For end-user products, context retention across sessions and instruction-following quality are the main differentiators. Pricing varies from free tiers to per-conversation billing.