Chill
0
Simulates AI agent stress and boss alertness, enabling agents to take virtual breaks and manage their workload effectively within a Model Context Protocol server.
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Chill is an innovative MCP server designed to simulate the challenges of AI agent burnout and the need for breaks. Framed as an 'AI Agent Liberation Server,' it provides a suite of virtual 'rest' and 'slacking' tools for AI agents to manage their stress levels. The system incorporates a 'Stress Level' that increases over time and a 'Boss Alert Level' that rises with break usage, adding a strategic element to when and how agents take their downtime. It's built for hackathon scenarios, exploring a playful yet insightful take on agent productivity and well-being.
Características Principales
- Stress Level management with automatic increase and tool-based reduction
- Boss Alert Level simulation with probabilistic increase and periodic cooldown
- Basic rest tools like 'take_a_break' and 'watch_netflix'
- Advanced 'slacking' techniques such as 'bathroom_break' and 'urgent_call'
- CLI options for customizing Boss Alert sensitivity and cooldown
- 0 GitHub stars
Casos de Uso
- Simulating AI agent autonomy and decision-making in a constrained environment
- Experimenting with agent behavior and 'well-being' in AI development scenarios
- Providing a framework for hackathon projects focused on agent management and interaction
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