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A developer packaged a multi-model code review workflow where an orchestrator agent coordinates multiple reviewer models and consolidates findings into a single report, and released it as a reusable skill on GitHub.
This paper presents NIMO Controller, a self-driving laboratory orchestrator based on the Model Context Protocol (MCP), which provides a unified interface for both human users and AI agents through a visual programming interface and MCP-based tool discovery.
A cheat sheet for Hermes Agent Codex builds, Claude Code reviews, and Hermes Agent orchestration.
Describes an agent stack design where a frontier LLM orchestrates fine-tuned small language models for PII redaction, ensuring privacy by keeping raw text local.
The author runs 20 OpenClaw AI agents 24×7 on a $7/month Hostinger VPS, with average daily API costs under $0.25. A self-built orchestrator and command dashboard handle task distribution, approval, monitoring, and multi-user collaboration; a complete, reproducible deployment template is provided.