Turing Tank

About

Turing Tank is a sophisticated multi-agent orchestration platform designed to simulate high-stakes investment committee meetings. It features adversarial AI agents with distinct strategic personalities that critique and negotiate startup pitches in a technical homage to Shark Tank. The platform utilizes conflict-driven workflows, LangGraph for complex state management, and a custom Model Context Protocol (MCP) server to ground agents' intelligence with real-world data, mitigating hallucinations. It produces actionable outputs like structured Deal Memorandums or data-backed rejection summaries, providing deep, multifaceted critiques of startup ventures.

Key Features

• 0 GitHub stars
• Adversarial Agent Topology simulating a "Mixture of Experts" committee.
• Grounded Intelligence via MCP server to eliminate hallucination with real-world data.
• Dynamic Bidding War Engine for autonomous, state-managed negotiation loops.
• Orchestrated State Machine using LangGraph for complex state transitions and conversation flow.
• Structured Deal Artifacts producing concrete Deal Memorandums or rejection summaries.
• Dockerized & Local-First architecture supporting both cloud and local (Ollama) execution.

Use Cases

• Simulating investment committee dynamics with diverse AI agent personalities.
• Critiquing startup pitches using adversarial multi-agent analysis.
• Generating structured deal memorandums or rejection summaries for pitched startups.