Chill
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Simulates AI agent stress and boss alertness, enabling agents to take virtual breaks and manage their workload effectively within a Model Context Protocol server.
About
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.
Key Features
- 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
Use Cases
- 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
Sponsored