Agent ChatRoom provides a flexible environment to build and run multi-agent conversational systems. Users can create agents with unique personas and prompts, route messages between agents, and view conversation histories in a sleek UI. It integrates with OpenAI APIs, supports custom configuration of agent behaviors, and can be deployed on any static hosting service. Developers benefit from a modular architecture, easy prompt tuning, and a responsive interface for testing AI collaboration scenarios.
Agent ChatRoom Core Features
Multi-agent chat interface
Custom agent role creation
Integration with OpenAI GPT models
Conversation history display
Modular prompt configuration
Agent ChatRoom Pro & Cons
The Cons
Requires coding knowledge to fully utilize code-first features.
No direct pricing information available.
No mobile app availability linked.
May have a learning curve for new users unfamiliar with dotnet or Orleans frameworks.
The Pros
Extensible multi-agent platform allowing multiple agents to chat simultaneously.
Supports both code-first and template-based approaches for flexibility.
Operates as both a web UI and a RESTful backend server.
Open source with available GitHub repository.
Integration with OpenAI and support for PowerShell scripting.
Provides Swagger UI for API documentation and testing.
ZevBot is an AI-powered chatbot that integrates seamlessly into popular messaging apps like Telegram, LINE, and Viber. It leverages the capabilities of ChatGPT to answer user queries, provide personalized recommendations, assist with language translations, and maintain conversation history. The bot enhances user interactions within messaging platforms, streamlining communication and offering instant assistance on various topics.