MCP server for multi-round AI brainstorming debates between multiple models (GPT, DeepSeek, Groq, Ollama, etc.)
🥊 sparkit: The CLI & Playground for SPAR — Run AI debates in your terminal or browser
Reusable Claude Code skills for structured strategy debates, idea generation, and decision pressure-testing
Open-source multi-agent AI debate arena: pit Claude, GPT, Gemini, Ollama & HuggingFace models against each other with frozen-context fairness, evidence-first judging, 20+ personas, code review, and PDF/Markdown reports. CLI + Web UI.
Interactive AI debate experience—Angel vs Devil on your shoulder. Voice-driven, real-time NLP, playful animations. Built with Vapi & Groq.
Terminal-based platform where specialized AI experts (Legal, Tech, Business) engage in real-time debates and collaborative problem-solving to provide multi-perspective analysis for complex decisions.
Seven AI agents argue about your strategic question until they converge on an answer no single agent could reach.
Multi-agent civic deliberation platform where AI citizen-agents debate policy issues using structured democratic protocols
High-performance AI debate engine powered by LangGraph, ChromaDB, and FastAPI. Features persistent agent personalities, long-term memory, and token-efficient streaming.
Multi-agent AFK programming platform — AI agents plan, argue, code, and review autonomously
AI Debate Arena is a full-stack application where users can engage in real-time structured debates—either Human vs Human or Human vs AI.
Stress-test your decisions with adversarial AI debate. MCP server for Claude Code. Skeptic vs Steelman, web-search grounded, confirmation bias attack.
Spring Boot Backend of AI Debate Arena
Multi-agent AI arena for debates, code reviews, and red-team challenges via Model Context Protocol (MCP)
Multi agent AI debate simulation system built with CrewAI, FastAPI, and Next.js. Agents debate real-world topics using live web grounding and are evaluated by a structured AI judge panel, visualized through a strategic card based UI.
AI-Debate is a LangGraph-powered framework designed to orchestrate structured, hierarchical debates between multiple AI agents using OpenAI and Anthropic models. The system guides these agents through iterative presentation and consensus phases to reach unified agreements, providing comprehensive JSON exports for research and behavioral analysis.
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