Multi-AI consensus MCP server that queries multiple AI models (OpenAI, Claude, Gemini, custom APIs) in parallel and synthesizes responses to reduce bias and improve accuracy. A Python implementation of the wisdom-of-crowds approach for AI decision making.

Practical AI agent swarm: 6–15+ parallel coding agents in Docker with isolated git branches. 500–800 commits/day, massive test coverage gains. Clean, safe, no worktrees. Battle-tested on 100k+ LOC codebases.

🔬 Parallel AI research orchestration tool - Deploy multiple cursor-agent workers simultaneously to conduct comprehensive research with specialized focus areas and intelligent synthesis.

Building a Content Fact Checker with OpenAI gpt-oss-120B, Cerebras, and Parallel

Nix flake for parallel-cli — AI-powered web search, extraction, and research CLI from parallel.ai. Supports NixOS, nix-darwin, and Home Manager.

n8n workflow for AI-powered expert article generation in Russian — Perplexity + Parallel AI deep research, Claude Sonnet writer, GPT-4o humanizer

🧠 Orchestrate parallel AI research with Cursor CLI Heavy to synthesize diverse insights into comprehensive reports on any topic.

🧠 Conduct parallel research using multiple AI assistants for a comprehensive analysis on any topic, synthesizing findings into unified reports.