Cortivex is an AI agent pipeline orchestration system designed for Claude Code, transforming it into a powerful multi-agent development platform. It enables the deployment of specialized AI agents in coordinated pipelines, featuring self-learning capabilities that optimize performance over time. The system employs a unique filesystem-based mesh coordination protocol to prevent file conflicts, Raft consensus for distributed leader election in multi-node environments, and CRDT knowledge graphs for shared findings and deduplication. With 15 production-grade skills, over 20 agent types, and 15 ready-to-run templates, Cortivex allows agents to reason through decisions, avoid mistakes, and handle ambiguity autonomously, all with zero infrastructure requirements.
Key Features
01Utilizes Raft consensus for distributed leader election in multi-node clusters
02Incorporates a self-learning engine that records metrics and applies confidence-scored optimizations automatically
03Orchestrates AI agent pipelines using DAG-based workflows for parallel execution
04Implements filesystem-based mesh coordination for multi-agent file access and conflict resolution
05Manages shared findings and prevents duplicate analysis across agents with CRDT knowledge graphs
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