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.
主な機能
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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