Hebbrix is an innovative tool designed to enhance AI agents with persistent memory capabilities, enabling them to remember, learn, and improve over time. This platform is particularly beneficial for developers and organizations looking to build production-ready AI applications without the lengthy custom development processes typically associated with memory infrastructure. Hebbrix employs a sophisticated 3-tier memory architecture that includes short-term, mid-term, and long-term memory, automatically promoting memories based on their access frequency and importance. The tool also features a 5-layer hybrid search system that integrates vector similarity, BM25 keywords, knowledge graph traversal, time decay, and ONNX reranking, ensuring sub-50ms latency for efficient memory retrieval. Additionally, Hebbrix supports OpenAI-compatible APIs, allowing seamless integration with various large language models (LLMs). Users can upload documents and media, such as PDFs and audio files, with automatic chunking, transcription, and memory extraction capabilities. The platform also offers user profiles that facilitate automatic fact extraction from conversations, capturing personal preferences and interests. With a freemium pricing model, Hebbrix provides 100,000 free tokens per month, making it accessible for developers and businesses aiming to leverage AI memory functionalities.