Microsoft/InKnowWorks Graph Engine
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Updated
Apr 25, 2025 - HTML
Microsoft/InKnowWorks Graph Engine
Requirements Ontology
Official code and data for CogEvolve, an ACL 2026 multimodal benchmark for relational reasoning in semantic extension.
System Architecture Proposal for Semantic Reasoning and Agentic Explainability
AI-native knowledge graph that continuously learns and discovers hidden relationships across multimodal knowledge.
Black-box reverse engineering research archive for the Jev decision model
Semantic revocation graph for evidence-dependent decisions powered by GenLayer.
An intelligent Rock-Paper-Scissors AI powered by semantic reasoning, ontology modeling, and behavioral analysis. Built in Python with a Tkinter GUI.
A synthetic physical inconsistency detector using DINOv2 residual probes, multi-view validation, temporal sync drift checks, semantic mismatch detection, and counterfactual intervention generation.
This is an example of shelf state estimation in ROS using reasoning over the available knowledge. GRAKN.AI is used for Knowledge base and semantic modelling.
Atomic reasoning MCP server for LLMs and Jev — turns big questions into independently falsifiable claims.
HCIP is a formal cognitive architecture for human–machine reasoning, built around the idea that meaning becomes richer, more stable, and more structurally coherent when interactions unfold across time with shared context.
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