turing-pyramid

AI agent continuity across sessions is maintained using a MINDSTATE persistence layer and a crash-resilient watchdog. This structured motivation system saves the agent state, enabling recovery and purposeful behavior resumption after interruptions.

An execution gate ensures deliberation yields tangible outcomes by governing the workflow routing. It forces the AI agent to pass through a structured reasoning protocol before actions are executed, ensuring traceable and deliberate next actions.

Association scan is a contextual recall mechanism that surfaces relevant past context to inform current decisions. It scans historical associations within the AI agent workflow, bringing pertinent background data to the active context surface.

Yes, you need bash, jq, bc, grep, and find installed in your environment. These dependencies support the initialization scripts, tension scoring calculations, and context search functions required by the structured motivation system.

Initialize your workspace, run the initialization script, and add run-cycle.sh to your HEARTBEAT. Running a cycle then executes the tension model and deliberation protocol, suggesting the next configured actions for the AI agent.

A dynamic tension model prioritizes AI agent actions by scoring ten configurable needs. It evaluates the tension between current state and desired needs, directing the agent toward the highest-priority next action to maintain purposeful behavior.