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Basic Information

dreamGPT is an application that repurposes hallucinations from large language models to drive divergent thinking and generate novel ideas. Its goal is to explore many creative possibilities rather than solving a single specific problem. The repository provides a runnable Python project that interacts with an LLM via the OpenAI API to produce a random seed of concepts, iteratively evolve those concepts into new 'dreams', and score outputs so users can observe idea quality over time. The project is intended for people who want to use generative models as an idea-generation tool, with an optional backend to persist generated dreams. Setup and usage are managed via Poetry and a simple CLI entry point so the process can be run locally after configuring environment variables.

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App Details

Features
Hallucination-driven divergent thinking that treats LLM hallucinations as a source of creative variation. A random-seed concept generator that initializes the dreaming process and then evolves ideas across iterations. A scoring mechanism that surfaces changes in idea quality as the system evolves dreams. Simple CLI usage with a start command and an optional --theme parameter to guide generation around a topic. Requires OpenAI API credentials and supports optional Pinecone integration for storing dreams and embeddings. Built for Python 3.10+ and distributed via Poetry, with a minimal configuration step of renaming and populating an .env file.
Use Cases
dreamGPT helps users and teams brainstorm and discover unconventional ideas by leveraging model hallucinations as positive creative inputs. It lets you quickly generate a diverse set of seed concepts, iterate on them, and watch how scores and outputs change, which can stimulate lateral thinking and inspiration for product, research, or marketing directions. The optional theme parameter enables focused sessions on a topic, while Pinecone support allows persistent storage and later retrieval of generated dreams for review or analysis. Its minimal installation and CLI make it easy to run locally for exploratory ideation without requiring extensive engineering setup.

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