Show HN: Prometheus – Give LLMs memory, dreams, and contradiction detection (github.com)

A new cognitive memory layer for Large Language Models (LLMs) called Prometheus has been introduced, enabling them to have persistent memory, conceive ideas, and identify contradictions in their knowledge. Traditionally, LLMs operate statelessly, failing to remember past interactions or learn from experiences. Prometheus addresses these limitations by creating a framework that emulates human memory, allowing LLMs to maintain a structured memory across sessions. It consists of five distinct memory layers—episodic, semantic, procedural, identity, and imagination—each serving different cognitive functions. For example, an LLM can now recall user details from previous conversations and synthesize knowledge over time through a 'dream' state, which connects disparate memories and generates insights. This development is significant for the AI/ML community as it represents a major step towards creating more intelligent, coherent, and contextually aware AI systems. By embedding continuous learning capabilities and axiomatic reasoning into LLMs, Prometheus enhances their reliability and depth of understanding. The ability to detect contradictions and dream-synthesize knowledge can improve the applications of LLMs in areas such as customer support, creative writing, and educational tools, potentially leading to more human-like interactions and fostering richer, more informative dialogues.