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Basic Information

SocraticAI is a web application that applies the Socratic method to problem solving by orchestrating multiple large language model–based agents in dialogue with each other and the user. The repository provides a runnable demo that lets users explore complex issues through cooperative questioning and answer sequences without requiring manual prompt engineering. It is intended to generate more comprehensive, well-reasoned solutions by simulating critical, multi-perspective discussion among AI agents. The README notes a demo video and includes a disclaimer that code and content are generated by large language models. The project runs locally as a Python web app and requires API credentials for OpenAI and Wolfram Alpha to enable model responses and external knowledge queries.

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App Details

Features
The README highlights several core features: coordination of multiple LLM-based agents to simulate Socratic dialogue, elimination of the need for manual prompt engineering, and a web interface for interactive use. The app integrates external computation and knowledge via Wolfram Alpha alongside OpenAI models. It provides simple setup instructions including installing dependencies from requirements.txt, setting environment variables for OPENAI_ORG, OPENAI_API_KEY, and WOLFRAM_APP_ID, and launching the service with python app.py. The README also references a demo video to illustrate behavior. The interface is served locally at 127.0.0.1:5000 and Google Chrome is recommended for best experience.
Use Cases
SocraticAI helps users explore problems more deeply by exposing assumptions, asking iterative questions, and presenting multiple angles through agent-to-agent and agent-to-user dialogue. The multi-agent conversation model aims to produce broader and better-reasoned solutions than a single-pass prompt, supporting insight generation, critical thinking, and knowledge expansion. Integration with Wolfram Alpha enables factual lookup and computation to supplement the language models. Running locally with API keys allows users to experiment, evaluate outputs, and adapt interactions for research, brainstorming, decision support, or educational inquiry. The README positions the tool as a way to uncover comprehensive solutions while removing the burden of crafting complex prompts.

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