AhmedRaoofuddin/Cortivex
AI agent pipeline orchestration for Claude Code. Deploy specialized agents in coordinated pipelines with self-learning capabilities, mesh coordination, Raft consensus, CRDT knowledge graphs, and pipeline debugging. 15 production-grade skills with reasoning protocols, 20+ agent types, 15 ready-to-run templates. Zero infrastructure.
Platform-specific configuration:
{
"mcpServers": {
"Cortivex": {
"command": "npx",
"args": [
"-y",
"Cortivex"
]
}
}
}Add the config above to .claude/settings.json under the mcpServers key.
<p align="center"> </p>
<h1 align="center">Cortivex: AI Agent Pipeline Orchestration</h1>
<p align="center"> <em>Deploy specialized AI agents in coordinated pipelines with self-learning capabilities, filesystem-based mesh coordination, and zero-infrastructure setup.</em> </p>
<p align="center"> </p>
<p align="center"> <a href="#why-cortivex">Why Cortivex</a> · <a href="#getting-started">Getting Started</a> · <a href="#skills">Skills</a> · <a href="#how-it-works">How It Works</a> · <a href="#templates">Templates</a> · <a href="#dashboard">Dashboard</a> </p>
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Most Claude Code skills tell agents what to do. Cortivex teaches agents how to think.
> Why the name? Cortivex combines "cortex" (the thinking layer of the brain) and "vex" (the mesh that connects agents together). The cortex reasons. The vex coordinates. Together, they form an orchestration system where agents don't just execute instructions, they reason through decisions, avoid known mistakes, and handle ambiguity without human intervention.
Every skill in this library is a 450-1,200 line operational manual. Not a thin wrapper. Not a checklist. Each one includes reasoning protocols that force step-by-step thinking before action, anti-pattern tables with WRONG/RIGHT code examples showing exactly what fails and why, grounding rules for when the situation is uncertain,
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