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A debate consensus system based on a five-role multi-agent architecture. Through collaborative debate among Proposer, Skeptic, Synthesizer, RedAgent, and Sentry, it balances adversarial thinking and consensus building, supporting multiple local model backends such as Ollama and LM Studio.
Section 01
Parliament is an innovative multi-agent deliberation system inspired by human parliament debate mechanisms. It uses a five-role AI agent architecture (Proposer, Skeptic, Synthesizer, RedAgent, Sentry) to balance adversarial thinking and consensus building. A key design feature is controlled AI misalignment via RedAgent to enhance reasoning resilience. The system supports local model backends like Ollama and LM Studio.
Section 02
Parliament draws inspiration from human parliament debate. Unlike traditional multi-agent systems that pursue goal consistency, Parliament intentionally uses role opposition—especially RedAgent's adversarial injection—to address group thinking risks and improve conclusion reliability. This design treats 'managed AI misalignment' as a core mechanism.
Section 03
Five Roles:
Core Mechanisms:
Section 04
System Architecture:
Multi-Backend: Switch via PARLIAMENT_PROVIDER (ollama, lm_studio, omlx, openai_compatible) for offline/online use.
Section 05
Parliament applies to:
Section 06
Limitations:
Future Plans:
Section 07
Parliament redefines multi-agent systems by embedding structured adversarial collaboration instead of pursuing harmony. It borrows power separation ideas from democracy, using 'questioning' and 'opposition' as core components. For researchers and decision-makers, it offers a fully open-source, easy-to-deploy solution for high-quality deliberation and consensus.
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