Multi-Agent Surveillance offers a flexible simulation framework where multiple AI agents act as predators or evaders in a discrete grid world. Users can configure environment parameters such as grid dimensions, number of agents, detection radii, and reward structures. The repository includes Python classes for agent behavior, scenario generation scripts, built-in visualization via matplotlib, and seamless integration with popular reinforcement learning libraries. This makes it easy to benchmark multi-agent coordination, develop custom surveillance strategies, and conduct reproducible experiments.

Outset is a pioneering AI-moderated research platform designed to streamline the process of qualitative interviews. Leveraging cutting-edge artificial intelligence, the platform allows users to conduct in-depth qualitative research at the speed and scale of traditional surveys. Its features include voice-to-voice interviews, automated coding, and more, making it invaluable for businesses aiming to make data-driven decisions quickly and efficiently.

This repository aggregates a comprehensive collection of multi-agent system components and distributed AI coordination techniques. It provides implementations of consensus algorithms, contract net negotiation protocols, auction-based task allocation, coalition formation strategies, and inter-agent communication frameworks. Users can leverage built-in simulation environments to model and test agent behaviors under varied network topologies, latency scenarios, and failure modes. The modular design allows developers and researchers to integrate, extend, or customize individual coordination modules for applications in robotics swarms, IoT device collaboration, smart grids, and distributed decision-making systems.

Anonymia is a platform dedicated to providing a safe space for people to share their thoughts and secrets without fear of judgment. Using advanced AI moderation, Anonymia ensures that all confessions are reviewed for hate speech, explicit content, personal information, harassment, and spam. This guarantees a respectful and secure environment for all users.

OpenAI Swarm Node orchestrates concurrent calls to multiple ChatGPT agents, gathers individual outputs, applies your chosen aggregation strategy—such as majority voting or custom weighting—and returns a unified consensus response. Its extensible architecture supports fine-grained control over model parameters, error handling, retry logic, and asynchronous execution, enabling developers to integrate swarm intelligence into any Node.js application for higher accuracy and consistency in AI-driven decision-making.