What problem does it solve?
Orchestrates cloud-based graph analytics with local knowledge management to enable sophisticated research, content analysis, and knowledge discovery workflows by coordinating InfraNodus MCP tools with hierarchical reasoning, knowledge graphs, and Obsidian documentation.
Core Features & Use Cases
- Adaptive Workflow Routing: automatically selects optimal analysis patterns based on task type, complexity, and data inputs.
- Multi-skill integration: coordinates InfraNodus with hierarchical-reasoning, knowledge-graph, and obsidian-markdown to deliver end-to-end workflows including graph generation, gap analysis, research questions, SEO insights, comparative analysis, topic development, and search intelligence.
- Local knowledge preservation: converts cloud-derived graphs to local JSON graphs with provenance, then documents findings in Obsidian mocs and templates.
Quick Start
Provide a complex research request and the orchestrator will route tasks across InfraNodus, hierarchical reasoning, and local documentation to deliver an integrated analysis.