Hebbrix
Description:
Hebbrix is a persistent memory platform for AI agents and applications that gives models long-term, queryable context by combining a 3-tier memory architecture (short/mid/long-term), a 5-layer hybrid search (vector similarity, BM25, knowledge-graph traversal, time-decay, ONNX reranking) and a knowledge graph for temporal reasoning and contradiction detection with sub-50ms retrieval. It provides OpenAI-compatible APIs, streaming responses, automatic context injection, and automated fact/profile extraction from documents, audio, video and conversations so you can plug it into any LLM stack. Use it to make chatbots, agents, and AI apps that remember, reason, and personalize over time without building custom state-management or memory systems.
A tool to add persistent memory for AI agents.
Note: This is a Google Colab, meaning that it's not actually a software as a service. Instead it's a series of pre-created codes that you can run without needing to understand how to code.
Note: This is a GitHub repository, meaning that it is code that someone created and made publicly available for anyone to use. These tools could require some knowledge of coding.
Pricing Model:
Freemium
Price Unknown / Product Not Launched Yet
This tool offers a free trial!
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Matt's Pick - This tool was selected as one of Matt's Picks!
Note: Matt's picks are tools that Matt Wolfe has personally reviewed in depth and found it to be either best in class or groundbreaking. This does not mean that there aren't better tools available or that the alternatives are worse. It means that either Matt hasn't reviewed the other tools yet or that this was his favorite among similar tools.
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Hebbrix
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A tool to add persistent memory for AI agents.
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