LangGraph-Chatchat functions as a memory management plugin for the ChatChat conversational framework, utilizing LangGraph’s graph database model to store and retrieve conversation context. During runtime, user inputs and agent responses are converted into semantic nodes with relationships, forming a comprehensive knowledge graph. This structure allows efficient querying of past interactions based on similarity metrics, keywords, or custom filters. The plugin supports configuration of memory persistence, node merging, and TTL policies, ensuring relevant context retention without bloat. With built-in serializers and adapters, LangGraph-Chatchat seamlessly integrates into ChatChat deployments, providing developers a robust solution for building AI agents capable of maintaining long-term memory, improving response relevance, and handling complex dialog flows.

RizzGPT is a specialized AI chat agent designed to automate and enhance conversational engagement on dating apps and social media platforms. It connects to OpenAI APIs to analyze user profiles, conversation history, and contextual cues, generating tailored pick-up lines, flirty responses, and follow-up messages. Users can select tone settings—such as witty, romantic, or playful—and customize variables like message length and personality traits. RizzGPT operates through a simple command-line interface (CLI) compatible with Windows, macOS, and Linux, enabling seamless integration into personal workflows. Whether crafting initial icebreakers or managing ongoing dialogues, it accelerates message creation, boosts response rates, and helps users refine their conversational style with AI-powered assistance.

HireZen is an innovative AI-powered tool designed to help interviewers streamline their interviewing process. It generates tailored interview plans and questions, facilitates better conversations with leading questions, provides instant feedback to highlight key traits and behaviors during interviews, and aids in crafting professional, meaningful feedback. This tool aims to enhance the quality of interviews by allowing interviewers to focus on the conversation while the AI takes care of the rest.