A MCP server implementing the Dual-Cycle Metacognitive Reasoning Framework for autonomous agents. A loop prevention and experience recall mechanism.
MCP server that detects AI fix loops and forces course correction. Error fingerprinting + fix similarity analysis + escalating intervention.
An opencode plugin that detects LLM loops in real time during reasoning/text generation and takes corrective action (nudge → abort).
Observability and a transparent, auditable agent graph for Massive Intelligence (IM) swarms: OpenTelemetry-compatible span tracing, incremental drift detection, failure attribution, loop detection, thirteen alert channels, and SHA-256-chained, Ed25519-signed trace logs. Zero dependencies, node-free core, TypeScript-first.
A universal zero-dependency TypeScript wrapper for AI agent loops that acts as a financial and behavioral circuit breaker (cost ceilings & runaway repetition detection).
Detect non-productive agent loops without killing pagination or polling
Passive loop detection MCP server for AI coding agents
Detect and break repetitive loops in tool-using AI agents — catches identical repeated tool calls, cyclic tool-call patterns, and idle status-check loops, and returns a corrective nudge.
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