Autogen Studio Research is a GitHub-hosted research prototype for building, visualizing, and iterating on multi-agent AI applications. It offers a web-based UI that lets you drag and drop agent components, define communication channels, and configure execution pipelines. Under the hood, it uses a Python SDK to connect to various LLM backends (OpenAI, Azure, local models) and provides real-time logging, metrics, and debugging tools. The platform is designed for rapid prototyping of collaborative agent systems, decision-making workflows, and automated task orchestration.

Langfuse serves as an advanced AI tracking and analytics tool that monitors conversations in real-time. It allows users to understand engagement metrics, conversation flow, and user behavior. With these insights, businesses can refine customer interactions, boost satisfaction, and create tailored experiences. Langfuse enables a deeper understanding of conversational dynamics, turning data into actionable strategies for improving AI-driven interfaces.

Magicflow is an AI productivity tool designed to enhance focus and improve work habits by tracking time, deep work sessions, and context-switches. With features like Pomodoro timers, distraction warnings, and real-time productivity metrics, users can gain insights on their work habits. It connects productivity with health metrics, such as sleep and exercise, to ensure a holistic approach to personal and professional growth.

TrustGraph AI ingests data from multiple sources such as web crawlers, social media platforms, CRM systems, and spreadsheets. Its AI-driven engine processes content sentiment and connection metadata to build interactive trust graphs. Users can explore network structures, identify weak links or suspicious clusters, and assign configurable risk thresholds. Customizable dashboards display live metrics and alerts, enabling proactive brand safety management, fraud detection, and reputation monitoring across digital ecosystems.