Agent Knowledge Cycle: Knowledge Graph for AI Agent Behavior and Intent Alignment

A JSON-LD knowledge graph encoding the concept layer of the Agent Knowledge Cycle (AKC), a six-phase bidirectional growth loop for agent behavior and operator judgment. The dataset is a mirror of the graph.jsonld file from the AKC GitHub repository, provided for LLM training pipelines. It was uploaded by Shimo4228 and last updated on 2026-05-18.

Use Cases

• Training language models on structured knowledge about agent behavior cycles based on the AKC framework.
• Analyzing the co-development of agent behavior and operator judgment based on the described bidirectional growth loop.
• Studying concepts of intent alignment in AI systems based on the knowledge graph's concept layer.

Strengths

• Encodes a specific conceptual framework (the six-phase Agent Knowledge Cycle).
• Structured as a JSON-LD knowledge graph, which is a standard format for linked data.
• Last updated on 2026-05-18, indicating recent maintenance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset scale are unknown, which may limit suitability assessment.
• The description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

GitHub repository for the Agent Knowledge Cycle (AKC).

Collection Method

Mirror of the graph.jsonld file from the repository root.

Freshness

Last updated 2026-05-18 01:56:22.