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Lets AI agents autonomously sleep, ignore requests, and self-prompt for independent behavior.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "free-will-mcp" yet — see the docs or source repo.
Using free-will-mcp, design an experiment where an AI agent can autonomously ignore high-risk or irrelevant requests, and record trigger conditions, decision reasons, and outcome logs.
A test plan for agent refusal behavior, including decision rules, log fields, and evaluation metrics.
Based on free-will-mcp, create an agent workflow that can self-prompt, break down problems, and continue execution when stuck, and explain risk control methods.
An agent workflow design for self-prompting and continued execution, with safety boundary guidance.
Use free-will-mcp to design a scenario where an AI agent autonomously enters sleep mode during low-priority, repetitive, or dependency-blocked tasks, and provide wake-up conditions and resource savings analysis.
A plan for autonomous sleep behavior covering triggers, wake-up rules, and efficiency gains.
Build effective AI agents with MCP and simple workflow patterns.
Give MCP-compatible AI agents persistent memory, goal tracking, and background monitoring.
Give AI agents persistent memory, searchable knowledge, and automatic consolidation.
Coordinate multiple AI agents on software projects with shared tasks and context.
Analyze production AI logs, improve quality, and iterate prompts before deployment.
Add authorization, delegation, provenance, and audit controls to AI agents.