Epistemic belief state updater and contradiction detector resolving knowledge graph assertion conflicts
genpark-contradiction-detection-belief-updater-skill
Production-Grade Long-Term Memory & RAG Agent Skill • 100% Standard Library Python • Native Model Context Protocol (MCP)
🌐 GenPark MCP Hub Showcase • 📦 Official Website • 📖 Documentation
genpark-contradiction-detection-belief-updater-skill is a deterministic, zero-dependency Python skill engineered with 100% production-grade functional parity for long-term agent memory, GraphRAG consolidation, and continual learning.
Executive Capability: Epistemic belief state updater and contradiction detector resolving knowledge graph assertion conflicts
⚡ Key Highlights & Value 🐍 Zero External pip Dependencies: Runs instantly on standard Python 3.9+ with zero environment bloat. 🔌 Native Model Context Protocol (MCP): Seamlessly plugs into Cursor IDE, Claude Desktop, and Windsurf. 🎯 100% Production-Grade Dynamic Execution: Real mathematical scoring, memory decay curves, and deterministic outputs without static placeholders. 🚀 Low Latency & High Reliability: Sub-millisecond execution overhead tailored for high-concurrency stateful memory retrieval.
Connect this skill to Claude Desktop, Cursor, or any MCP-compliant client:
Parameter Type Required Description ------:---:--- querypayload string / dict Yes Primary input parameter parsed and executed deterministically outputformat json / dict Yes Standardized response schema containing execution telemetry
From the project README.
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Epistemic belief state updater and contradiction detector resolving knowledge graph assertion conflicts
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