The engineering story behind nexus-agents, a research-backed multi-model orchestration system that coordinates Claude, Gemini, and Codex through consensus voting, adaptive routing, and graph workflows.
open-source
9 posts
How multi-model consensus voting catches blind spots that single models miss. The research behind adversarial roles, Bayesian aggregation, and structured deliberation across Claude, Gemini, and Codex.
How I went from naive round-robin model selection to a five-stage routing pipeline backed by RouteLLM, TOPSIS, and LinUCB research. The failures that led to each improvement.
Deploy Claude-Flow AI agent swarms for development—achieve 84.8% SWE-Bench solve rate with neural learning and multi-agent orchestration for complex tasks.
Build MCP standards server for Claude AI—implement Model Context Protocol for intelligent code standards and context-aware workflows.
Build enterprise vulnerability management with open source—deploy scanning, remediation tracking, and compliance using Nessus and OpenVAS.
Automate home network security with Python and Ansible—deploy patching, threat detection, and compliance scanning for homelab infrastructure.
Build privacy-respecting sites with Eleventy—create fast, accessible static websites with zero tracking and excellent Core Web Vitals.
Compare open-source vs proprietary LLMs with Llama 3 and GPT-4 benchmarks—understand performance, cost, and customization trade-offs for production.