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pauliusztin

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  2. I reverse-engineered the three biggest agent-memory tools

    I spent weeks reading about how Cognee, Graphiti, and Neo4j's `agent-memory` build their agent memory architectures. They converged on the same heavy knowledge-graph design: an ontology, LLM extraction pipelines,…

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  4. 3 dangers of being locked into a harness. Your context layer is true freedom

    Models are commoditizing fast. Harnesses already have. A "free" open-source harness feels like freedom, but the deeper I built in, the more I'd lose. "Free" open-source harnesses don't make you free. Staying coupled to…

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  8. I spent a year building agent memory on knowledge graphs. Here are my 5 mistakes

    I spent the past year building a unified memory layer for my AI agents using knowledge graphs and ontologies on top of MongoDB. I followed every trend first. I reached for the shiny frameworks and tried to design the…

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  17. My 11-step GraphRAG pipeline, what worked, and what's still broken

    While building a financial assistant for an SF start-up, we learned that AI frameworks add complexity without value. When I started building a personal assistant with GraphRAG, I carried that lesson but still tried…

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