OpenReplay is a robust session replay and analytics tool designed for developers seeking to enhance user experience and troubleshoot issues. By self-hosting the platform, teams maintain full control over their data while utilizing powerful features like user session playback, performance tracking, and error monitoring. OpenReplay enables developers to visualize user interactions, helping them understand behavior patterns and identify areas for improvement. This tool is essential for product optimization and enhances communication between product and development teams by providing clarity on user behavior.

AmongA and researching multi-agent AI systems. Through a simple Python API, users instantiate any number of AI agents, each equipped with tailored personas, prompts, and memory buffers. Agents engage in configurable conversation loops, supporting debates, brainstorming, decision-making, or game simulations. The framework seamlessly integrates with major LLM APIs (e.g., OpenAI, Anthropic), enabling message-based interaction and transcript logging. Developers can extend behavior by customizing agent roles, controlling turn-taking logic, and plugging in external data sources. AmongAIs also provides utilities for sentiment analysis, score-based evaluation, and session replay. Ideal for teams exploring emergent communication, collaborative ideation, and testing digital worker coordination in research and production settings.