Equitus.ai KGNN + Cursor.ai

 

Integrating Equitus.ai KGNN with Cursor.ai—a developer-focused AI code assistant—on IBM Power Systems can significantly elevate enterprise IT operations, developer productivity, and system intelligence. Here's a breakdown:

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🔧 Integration Architecture: Equitus.ai KGNN + Cursor.ai on IBM Power Systems

🧠 Key Strengths of Each:

Platform	Role in Integration
Equitus.ai KGNN	Real-time reasoning, semantic relationships, FTE reduction, ETL/graph insights
Cursor.ai	LLM-based dev assistant for coding, debugging, querying
IBM Power Systems (AIX/Linux)	Secure, high-performance enterprise compute layer

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🚀 Integration Use Cases

1. DevOps & ITSM Automation

• Cursor.ai receives developer or ops engineer queries in natural language.

• It uses Equitus’s KGNN CMDB graph to understand systems, dependencies, and logs.

• Generates scripts, config patches, or root cause analysis with context from the KGNN.

"Why is this IBM AIX workload failing?" → Cursor queries KGNN graph for system state + logs → Suggests patch or automation fix.

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2. Code-Aware Graph Context

• KGNN indexes enterprise IT objects, APIs, and even code repositories as a knowledge graph.

• Cursor.ai, via API, accesses KGNN to retrieve code dependencies, API usage patterns, or secure-by-design practices.

• Delivers contextual code completion, change impact analysis, and graph-powered developer help.

"Show me all microservices that call authService and their risk level." → Cursor asks KGNN → returns interactive view + risk metadata.

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3. Secure LLM Reasoning on Power Systems

• All inference and knowledge processing can be hosted on-premise (via Equitus Edge + PowerVM), ensuring:

  • Data sovereignty

  • Compliance with defense or critical infrastructure policies

Equitus + Cursor + Power = Air-gapped, intelligent IDE for secure environments.

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4. AI-Augmented Legacy Modernization

• Equitus maps COBOL, RPG, and shell script logic into a knowledge graph.

• Cursor.ai interprets legacy code logic + recommends modernization paths.

• Developer uses Cursor to refactor code, while KGNN verifies semantic equivalence.

Legacy AIX apps → KGNN graph → LLM refactor → Dev modernization tools

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5. LLM-Powered Semantic Search Over IBM Infra

• Equitus creates the graph layer over IT assets, APIs, workloads, logs, and change histories.

• Cursor.ai becomes a conversational interface for Power System admins/devs to search and manage infra.

“What changed before that batch job failed?” → KGNN trace + Cursor.ai summarization

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🧱 Sample Architecture Stack

   +---------------------+        +-------------------------+
   |   Cursor.ai Agent   |<-----> | Equitus.ai KGNN API     |
   | (IDE Plugin/CLI/Chat)        | (CMDB, Graph, Logs, Code)|
   +---------------------+        +-------------------------+
               |                             |
               v                             v
     +------------------+       +-----------------------------+
     | IBM Power Systems|<----->| Enterprise IT Workloads     |
     | (AIX, Linux)     |       | (COBOL, WebSphere, DB2, etc)|
     +------------------+       +-----------------------------+

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📦 Deployment Models

Model	Description
On-Prem (Air-Gapped)	Ideal for defense, banking, telecom
Hybrid Edge with IBM Cloud	Use IBM Cloud + Equitus Edge (KGNN + Cursor plugins)
Power Private Cloud	Full virtualization with PowerVM, LPARs running secure workloads

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🧠 Competitive Advantage

Capability	Equitus + Cursor + IBM Power
Semantic Code Intelligence	✅
Secure On-Premise LLM Ops	✅
Real-time CMDB + KG Reasoning	✅
Legacy App Modernization	✅
Developer Productivity Boost	✅

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📞 Contact & Pilot

Equitus.ai | IBM Partnered Architecture
📧: info@equitus.ai
📞: (813) 906-0380
🌐: https://equitus.ai

Want a poster, architecture diagram, or pilot demo outline for this integration? Let me know how you'd like to proceed.