Tragal

Smolagents is an AI agent framework developed to simplify the creation and deployment of intelligent agents with minimal code. It supports code-first agents where agents execute Python code snippets to perform tasks, offering enhanced efficiency compared to traditional JSON-based approaches. Smolagents integrates with large language models like those from Hugging Face, OpenAI, and others, enabling developers to create agents that can control workflows, call functions, and interact with external systems. The framework is designed to be user-friendly, requiring only a few lines of code to define and execute agents. It features secure execution environments, such as sandboxed spaces, for safe code running. Smolagents also promotes collaboration by integrating deeply with the Hugging Face Hub, allowing users to share and import tools. It supports a variety of use cases, from simple tasks to multi-agent workflows, offering flexibility and performance improvements.

RhinoAgents is a no-code AI workforce platform that allows anyone — from startups to enterprises — to build and deploy intelligent agents across industries like HR, IT, real estate, recruitment, and healthcare. With simple prompt-based creation or an intuitive drag-and-drop workflow builder, businesses can create AI agents that automate repetitive work, streamline operations, and enhance customer experiences. Instead of hiring large teams, companies can now achieve the same results with AI agents at 1/4 the cost. These agents work like digital employees — handling onboarding, customer support, lead qualification, scheduling, property inquiries, healthcare FAQs, IT helpdesk tasks, and more. Key Capabilities: Industry Flexibility No-code Simplicity Multi-Channel Engagement Custom Knowledge Base (RAG) Analytics & ROI Tracking