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Official code repo for NeurIPS 2025 Spotlight paper, "Debate or Vote: Which Yields Better Decisions in Multi-Agent LLMs?"

Framework: Multi-Agent LLMs For Conversational Task-Solving (MALLM)

Source code for the paper: Hear Both Sides: Efficient Multi-Agent Debate via Diversity-Aware Message Retention

Code for "Multiple LLM Agents Debate for Equitable Cultural Alignment" [ACL 2025 Oral]

A brutally fault-tolerant Mixture-of-Agents (MoA) pipeline built in pure Python. Designed to orchestrate chaotic, round-robin LLM proxy endpoints through a rigorous 4-stage Agentic Workflow (Generate ➔ Cross-Critique ➔ Rebuttal ➔ Judge). Built to eradicate hallucination and guarantee absolute accuracy in complex, multi-step reasoning tasks.

Generate research papers autonomously by chatting with OpenClaw, using Python 3.11+, with a self-evolving framework and extensive test coverage.

supporting codes for the study on multi-agent debate protocols

Building a Multi-Agent Debate CLI that argues with itself, so you don't have to

Control Stream Deck buttons for Claude Code terminal sessions with live status, tap-to-focus, hold-to-dictate, and snap-to-grid window layout on macOS

Run your decisions through a jury of 12 AI minds before you commit.