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  • Agent API by HackerGCLASS: a Python RESTful framework for deploying AI agents with custom tools, memory, and workflows.
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    What is HackerGCLASS Agent API?
    HackerGCLASS Agent API is an open-source Python framework that exposes RESTful endpoints to run AI agents. Developers can define custom tool integrations, configure prompt templates, and maintain agent state and memory across sessions. The framework supports orchestrating multiple agents in parallel, handling complex conversational flows, and integrating external services. It simplifies deployment via Uvicorn or other ASGI servers and offers extensibility with plugin modules, enabling rapid creation of domain-specific AI agents for diverse use cases.
  • EmbedChat allows businesses to integrate live chat and support solutions on their websites.
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    What is Embed Chat?
    EmbedChat is a comprehensive solution for businesses to integrate live chat functionality directly on their websites. It supports real-time communication between businesses and their customers, enhancing user experience and customer satisfaction. The platform is designed with features like automated responses, customer history tracking, and multiple agent support, ensuring seamless and efficient communication. Businesses can customize the chat interface to match their branding, making it a versatile tool for enhancing user engagement and support.
  • An HTTP proxy for AI agent API calls enabling streaming, caching, logging, and customizable request parameters.
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    What is MCP Agent Proxy?
    MCP Agent Proxy acts as a middleware service between your applications and the OpenAI API. It transparently forwards ChatCompletion and Embedding calls, handles streaming responses to clients, caches results to improve performance and reduce costs, logs request and response metadata for debugging, and allows on-the-fly customization of API parameters. Developers can integrate it into existing agent frameworks to simplify multi-channel processing and maintain a single managed endpoint for all AI interactions.
  • Maux is an AI agent management platform enabling you to build, deploy, orchestrate, and monitor autonomous agents seamlessly.
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    What is Maux?
    Maux is a SaaS AI agent platform that lets teams design, configure, and launch intelligent autonomous agents without deep infrastructure management. Users can choose from modular templates, customize prompt chains, and integrate with APIs like Slack, CRM systems, or databases. Maux supports multi-agent orchestration, letting agents communicate and coordinate on complex tasks. Built-in monitoring dashboards and logs provide insight into performance, usage metrics, and error handling. The platform also offers version control, role-based access, and webhook triggers, enabling seamless deployment of production-grade AI agents for customer support, research automation, data processing, and workflow automation.
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