The Great GPT Firewall provides a policy-driven gateway for GPT-based applications. It sits between your app and the GPT API, examining each request and response against user-defined JSON-schema policies. With both a command-line interface and easily importable library, you can define rules to block or modify disallowed prompts and outputs, log any violations, and receive real-time alerts. The tool supports extensible rule sets, custom handlers for violation events, and seamless integration into CI/CD pipelines, helping teams maintain content safety and regulatory compliance across diverse AI deployments.

AgentServe provides a unified interface for creating and deploying AI agents. Users define agent behaviors in configuration files or code, integrate external tools or knowledge sources, and expose agents over REST endpoints. The framework handles model routing, parallel requests, health checks, logging, and metrics out of the box. AgentServe’s modular design allows plugging in new models, custom tools, or scheduling policies, making it ideal for building chatbots, automated workflows, and multi-agent systems in a scalable, maintainable way.

VoiceXD is a collaborative no-code platform allowing users to design and deploy fully AI-powered chat and voice assistants tailored to their specific needs. It enables easy integration of custom logic, rules, and data into conversational AI solutions. The platform supports prototyping and publishing across multiple channels, including Webchat, WhatsApp, and SMS, making it versatile for various business applications. One-click testing and deployment streamline the creation process, enhancing efficiency.

gotoHuman is an innovative AI agent that focuses on enhancing employee experience through personalized assistance. It automates onboarding, provides tailored support, and helps employees navigate company resources effortlessly. With its advanced conversational capabilities, gotoHuman can answer employees' questions, offer training modules, and guide them through complex processes, ultimately leading to increased productivity and satisfaction in the workplace.

Memonto functions as a middleware library for AI agents, orchestrating the complete memory lifecycle. During each conversation turn, it records user and AI messages, distills salient details, and generates concise summaries. These summaries are converted into embeddings and stored in vector databases or file-based stores. When constructing new prompts, Memonto performs semantic searches to retrieve the most relevant historical memories, enabling agents to maintain context, recall user preferences, and provide personalized responses. It supports multiple storage backends (SQLite, FAISS, Redis) and offers configurable pipelines for embedding, summarization, and retrieval. Developers can seamlessly integrate Memonto into existing agent frameworks, boosting coherence and long-term engagement.