🧟 OGRE - Orchestrated GraphRAG Engineering

Integration wiring layer for autonomous code agents within the lornu.ai ecosystem.

OGRE connects knowledge retrieval (oxidizedRAG), workflow orchestration (oxidizedgraph), and persistent storage (data-fabric) to enable agents that understand, analyze, and safely modify code.

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🎯 Mission

Enable autonomous code agents to be productive, safe, and explainable by architecting the integration between:

• oxidizedRAG: Knowledge graph retrieval at scale
• oxidizedgraph: Agent workflow orchestration
• data-fabric: Persistent knowledge & audit trails
• lornu.ai: Multi-cloud autonomous infrastructure

Within the broader lornu.ai ecosystem for infrastructure automation.

📋 What's Here

• PLAN.md - Integration wiring plan with 5 phases:
  • Phase 1: Assessment of oxidizedRAG, oxidizedgraph, data-fabric
  • Phase 2: Gap analysis for code-specific agent workflows
  • Phase 3: OGRE architecture & integration contracts
  • Phase 4: Prototype (autonomous PR reviewer)
  • Phase 5: Production hardening & deployment

🔑 Key Questions

1. Retrieval: How can we retrieve relevant code context at scale?
2. Orchestration: How do we define complex agent workflows?
3. Execution: How do agents safely analyze and modify real code?
4. Learning: How do agents improve through iteration?
5. Observability: How do we debug agentic decision-making?

🚀 Quick Start

# Read the evaluation plan
cat PLAN.md

# Start with Phase 1: Assessment
# Survey oxidizedRAG & oxidizedgraph capabilities

🏗️ Ecosystem Architecture

lornu.ai (Multi-cloud autonomous infrastructure)
    ├─ OGRE (Code agent wiring) ← YOU ARE HERE
    │   ├─ oxidizedRAG (retrieval)
    │   ├─ oxidizedgraph (orchestration)
    │   └─ data-fabric (persistence)
    ├─ aivcs (Agent version control)
    ├─ bond (Agent testing)
    └─ lornu-ai-cleaner (Data safety)

📚 Core Projects

Integration Targets:

• oxidizedRAG - Knowledge graph retrieval (code-aware)
• oxidizedgraph - Workflow orchestration (agent lifecycle)
• data-fabric - Schema governance & persistence

Supporting Infrastructure:

• aivcs - Agent run tracking & version control
• bond - Agent testing framework
• lornu.ai - Multi-cloud platform & shared agent swarm

💡 What OGRE Does

OGRE is not a framework — it's the wiring that enables:

1. Context Retrieval: Query codebases semantically via oxidizedRAG
2. Workflow Execution: Run agent decisions through oxidizedgraph
3. Safe Modifications: Execute code changes with validation & rollback
4. Knowledge Persistence: Store agent learnings in data-fabric
5. Auditable Decisions: Full traceability of agent reasoning
6. Integration: Connect to lornu.ai's autonomous agent swarm

🤝 Contributing

This is an active integration project. Contributions welcome in:

• Gap analysis & assessment
• Integration contract design
• Prototype implementation
• Testing & validation