AI Workflow OrchestratorSecure Orchestration of AI Workflows

Debate-based multi-agent reasoning with long-term memory, dynamic reputation, and zero-trust guards.

🤝

Multi-Agent Debate Engine

Specialized agents (Analyst, Solution, Critic, Security, Optimizer) challenge and refine implementation plans before any execution is permitted.

💾

Forensic Memory Layer

Persistent memory using SQLite and MongoDB Atlas. Semantically retrieves similar historic conflicts to learn from past execution failures.

🛡️

Zero-Trust Identity Guard

Environment-level verification (GCP and MongoDB Atlas) that actively halts operations if cross-project data contamination is detected.

⚡

Dynamic Agent Elo Rating

Agents earn or lose reputation (ratings mapping to weight multipliers from 0.5 to 1.5) based on validated debate outcomes and performance.

🔌

Token Budget Protection

FastAPI middleware serving as a runtime circuit breaker. Automatically trips if session API consumption exceeds 100,000 tokens.

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Autonomous Self-Healing

If execution fails, the Critic diagnoses the bug, and the Solution builds a repaired plan, executing it safely under full validation check.

Architecture Flow Overview

Unlike traditional \"black-box\" agents that execute instructions blindly, our orchestrator establishes a formal adversarial validation gate:

User Request ➔ Classification & Identification ➔ Semantic Memory Context
                             │
                             ▼
              [ 🤝 MULTI-AGENT DEBATE ENGINE ]
      Analyst ➔ Solution ➔ Critic ➔ Security ➔ Optimizer
                             │
                             ▼
        [ ⚖️ CONSENSUS AGGREGATOR & ELO WEIGHTS ]
                             │
            PROCEED ─────────┴───────── REJECT/VETO
               │                               │
               ▼                               ▼
    [ 🏃 EXECUTOR RUNNER ]             [ 🛡️ SECURITY VETO ]
               │
               ▼
    [ 🧪 VALIDATION CHECK ] ➔ [ 💾 MEMORY PERSISTENCE ]