Show HN: Mnemo – local-first AI memory layer for any LLM (Rust, SQLite,petgraph) (github.com)

A new project named Mnemo has been announced, introducing a local-first AI memory layer designed to enhance the capabilities of any large language model (LLM). This innovative tool addresses a fundamental limitation of LLMs, which typically forget context after a single conversation. Mnemo operates as a sidecar service that captures conversations, extracts entities and relationships using an LLM, and builds a persistent knowledge graph in SQLite. This data is then seamlessly injected back into future prompts, without the need for cloud connectivity, achieving this in under 50 milliseconds. For the AI and machine learning community, Mnemo represents a significant stride towards creating more contextually aware and persistent LLM interactions. It supports various LLM providers, including Ollama and OpenAI, making it adaptable for various applications. The architecture leverages Rust and integrates multiple components for entity extraction, graph operations, and retrieval processes, demonstrating impressive performance with minimal latency. This development not only improves user experience by maintaining context but also highlights the growing trend of local AI solutions that prioritize user privacy and data sovereignty.