Multi-Agent ColComp is an extensible, open-source framework for orchestrating a team of AI agents to work together on complex tasks. Developers can define distinct agent roles, configure communication channels, and share contextual data through a unified memory store. The library includes plug-and-play components for negotiation, coordination, and consensus building. Example setups demonstrate collaborative text generation, distributed planning, and multi-agent simulation. Its modular design supports easy extension, enabling teams to prototype and evaluate multi-agent strategies rapidly in research or production environments.

Verbeloquence.ai is an innovative tool that leverages artificial intelligence to help users master the art of verbal communication. The platform offers an engaging, audio-based game format where users can practice in various scenarios such as sales pitches, job interviews, negotiations, and debates. By providing real-time feedback and utilizing advanced language models, Verbeloquence.ai aims to improve users' communication abilities, making them more eloquent and persuasive speakers.

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