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MCP Dual-Cycle Reasoner

by cyqlelabs
npmGitHub
TypeScript
MIT License
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process_trace_update

Updates and monitors cognitive traces for AI agents by tracking actions, goals, and context, enabling metacognitive analysis with MCP Dual-Cycle Reasoner to detect reasoning loops and optimize decision-making.

Instructions

Process a cognitive trace update from the agent (main monitoring function)

Input Schema

NameRequiredDescriptionDefault
current_contextNoCurrent environment context or state, in low dash format. Example: adding_product_item
goalYesCurrent goal being pursued
last_actionYesLatest action name to be added to the accumulated action history
window_sizeNoSize of the monitoring window

Input Schema (JSON Schema)

{ "$schema": "http://json-schema.org/draft-07/schema#", "additionalProperties": false, "properties": { "current_context": { "description": "Current environment context or state, in low dash format. Example: adding_product_item", "type": "string" }, "goal": { "description": "Current goal being pursued", "type": "string" }, "last_action": { "description": "Latest action name to be added to the accumulated action history", "type": "string" }, "window_size": { "default": 10, "description": "Size of the monitoring window", "type": "number" } }, "required": [ "last_action", "goal" ], "type": "object" }

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