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chat 11

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.

Grok

general

xAI's conversational model with real-time access to X posts

Free From $30 62 · 38,258 votes

Sendbird

support

Enterprise chat and AI support agent infrastructure for apps

Free 58 · 20,924 votes

crushon-ai

general

Unfiltered AI character chat with support for NSFW roleplay and emotional scenarios

Free From $4.9 54 · 18,330 votes

Hiration

general

AI resume builder with interview and LinkedIn coaching

Free 41 · 52,618 votes

TryNectar AI

general

AI companion that video calls, chats, and generates images

Free 38 · 38,657 votes

Thrivebase

general

Custom chatbots trained on your data

Free 38 · 58,165 votes

Diyva

general

No-code voice and text AI agents

Free 36 · 25,966 votes

Helio.AI

general

Automate candidate screening with gamified personality tests

Free 36 · 21,441 votes

UPRO AI

general

AI character chat platform for digital persona connection

Free 35 · 16,114 votes

Hello Literature

general

Generate realistic dialogue between literary characters

Free 35 · 14,325 votes

Review Kit

general

AI Customer Service tools

Free 30 · 968 votes

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.