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Awesome GitHub RepositoriesMulti-Agent Debate Frameworks

Architectures for facilitating structured discourse between specialized AI agents to improve decision-making accuracy.

Distinguishing note: Focuses on adversarial or collaborative debate patterns between agents, distinct from simple agent orchestration.

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TauricResearch/TradingAgents
TauricResearch/TradingAgents
30,207View on GitHub
TradingAgents is an autonomous financial research and simulation framework that coordinates specialized agents to analyze market data and execute investment strategies. The system functions as a multi-agent debate environment where independent units critique financial insights through structured, adversarial reasoning to improve decision accuracy and mitigate investment risks. The platform distinguishes itself through a risk-gated transaction pipeline that validates all proposed financial actions against market volatility and liquidity constraints before execution on a simulated exchange. To
Facilitate structured discussions between opposing research perspectives to critically assess analyst findings and balance potential investment gains against inherent market risks and various economic uncertainties.
Pythonagentfinancellm
30,207View on GitHub